Review your Flutter data layer from your own scripts
Send Flutter data-layer code — repositories, services, models, SQLite/Drift/Hive
code, the widgets that touch data, a pubspec.yaml excerpt, or several files
concatenated — and get back one JSON object: an architecture posture, the inventory
of every class, table and data package with its role, prioritized findings across
architecture, SQL safety, models, offline sync, caching, error handling and hygiene, each
with a corrected Dart fragment, quick wins, and the focus areas to work through first.
Everything this app does goes through the SkillSafe App API — plain JSON over HTTPS
— so you can hang a review off a pull request that touches lib/data/, a
schema migration about to ship, or a pre-merge gate. Every code step below is shown in
cURL, Python, JavaScript, Go, Java, Ruby, PHP and C#; pick a language once and the whole
page follows.
Basics
Base URL: https://api.skillsafe.ai/v1/app-api, app slug
data-layer-clinic. Every request sends
Authorization: Bearer <token> and JSON bodies with
Content-Type: application/json. Responses are wrapped in an envelope:
{"data": …} on success, {"error": {"code", "message"}} on failure.
The review itself is produced by the gpt-terra model. Estimates are free;
runs are metered against your credit balance. There is a single run task — one paste of
Dart code in, one review out, no follow-up calls and no session state to carry.
| Status | Meaning |
|---|---|
401 | Missing or expired token — create a new session. |
402 | Not enough credits — top up at skillsafe.ai/account/credits. |
403 | The token isn't allowed to do this (e.g. a guest reviewing a very large paste). |
404 | Unknown job or record id. |
5xx | Transient platform error — retry with backoff. |
Browsers enforce CORS for this API, so run these examples from a server, script or terminal — not from another website's frontend.
Step 0 — A tiny client
Every task below is a single HTTP call, so start with a short helper that adds the auth
header, sends JSON and unwraps the data envelope. The later steps reuse it.
export API="https://api.skillsafe.ai/v1/app-api"
export TOKEN="YOUR_TOKEN" # see step 1
# every call looks like:
# curl -s "$API/..." -H "Authorization: Bearer $TOKEN" [-d '{json}']
# jq is used below to pull fields out of the {"data": ...} envelope
import json, requests
API = "https://api.skillsafe.ai/v1/app-api"
TOKEN = "YOUR_TOKEN" # see step 1 — read it from your shell environment in real code
def api(method, path, body=None, **headers):
res = requests.request(method, API + path, json=body,
headers={"Authorization": f"Bearer {TOKEN}", **headers})
payload = res.json()
if not res.ok:
raise RuntimeError(payload.get("error", {}).get("message", res.reason))
return payload["data"]
// Node 18+ (built-in fetch)
const API = "https://api.skillsafe.ai/v1/app-api";
const TOKEN = "YOUR_TOKEN"; // see step 1 — read it from your shell environment in real code
async function api(method, path, body, extraHeaders = {}) {
const res = await fetch(API + path, {
method,
headers: { Authorization: `Bearer ${TOKEN}`, "Content-Type": "application/json", ...extraHeaders },
body: body === undefined ? undefined : JSON.stringify(body),
});
const json = await res.json();
if (!res.ok) throw new Error(json.error?.message ?? res.statusText);
return json.data;
}
package main
import (
"bytes"
"encoding/json"
"fmt"
"net/http"
"os"
)
const API = "https://api.skillsafe.ai/v1/app-api"
var token = os.Getenv("SKILLSAFE_TOKEN") // see step 1
func call(method, path string, body, out any) error {
var buf bytes.Buffer
if body != nil {
json.NewEncoder(&buf).Encode(body)
}
req, _ := http.NewRequest(method, API+path, &buf)
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("Content-Type", "application/json")
res, err := http.DefaultClient.Do(req)
if err != nil {
return err
}
defer res.Body.Close()
var env struct {
Data json.RawMessage `json:"data"`
Error *struct{ Message string `json:"message"` } `json:"error"`
}
json.NewDecoder(res.Body).Decode(&env)
if res.StatusCode >= 400 {
return fmt.Errorf("api %s %s: %s", method, path, env.Error.Message)
}
if out == nil {
return nil
}
return json.Unmarshal(env.Data, out)
}
// Java 17+, no dependencies. Pair with your JSON library (Jackson, Gson…)
// to read fields out of the returned envelope.
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
public class SkillSafe {
static final String API = "https://api.skillsafe.ai/v1/app-api";
static final String TOKEN = System.getenv("SKILLSAFE_TOKEN"); // see step 1
static final HttpClient HTTP = HttpClient.newHttpClient();
static String api(String method, String path, String jsonBody) throws Exception {
var req = HttpRequest.newBuilder(URI.create(API + path))
.header("Authorization", "Bearer " + TOKEN)
.header("Content-Type", "application/json")
.method(method, jsonBody == null
? HttpRequest.BodyPublishers.noBody()
: HttpRequest.BodyPublishers.ofString(jsonBody))
.build();
var res = HTTP.send(req, HttpResponse.BodyHandlers.ofString());
if (res.statusCode() >= 400) throw new RuntimeException(res.body());
return res.body(); // envelope: {"data": …}
}
}
require "net/http"
require "json"
API = "https://api.skillsafe.ai/v1/app-api"
TOKEN = ENV.fetch("SKILLSAFE_TOKEN") # see step 1
def api(method, path, body = nil)
uri = URI(API + path)
req = Net::HTTP.const_get(method.capitalize).new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req.body = body.to_json if body
res = Net::HTTP.start(uri.host, uri.port, use_ssl: true) { |h| h.request(req) }
payload = JSON.parse(res.body)
raise (payload.dig("error", "message") || res.message) unless res.is_a?(Net::HTTPSuccess)
payload["data"]
end
<?php
const API = "https://api.skillsafe.ai/v1/app-api";
$TOKEN = getenv("SKILLSAFE_TOKEN"); // see step 1
function api(string $method, string $path, ?array $body = null): mixed {
global $TOKEN;
$ch = curl_init(API . $path);
curl_setopt_array($ch, [
CURLOPT_CUSTOMREQUEST => $method,
CURLOPT_RETURNTRANSFER => true,
CURLOPT_HTTPHEADER => [
"Authorization: Bearer $TOKEN",
"Content-Type: application/json",
],
CURLOPT_POSTFIELDS => $body === null ? null : json_encode($body),
]);
$payload = json_decode(curl_exec($ch), true);
$status = curl_getinfo($ch, CURLINFO_RESPONSE_CODE);
curl_close($ch);
if ($status >= 400) {
throw new Exception($payload["error"]["message"] ?? "HTTP $status");
}
return $payload["data"];
}
// .NET 8+
using System.Net.Http.Json;
using System.Text.Json;
static class SkillSafe
{
const string Api = "https://api.skillsafe.ai/v1/app-api";
static readonly HttpClient Http = new();
static SkillSafe() =>
Http.DefaultRequestHeaders.Authorization =
new("Bearer", Environment.GetEnvironmentVariable("SKILLSAFE_TOKEN")); // see step 1
public static async Task<JsonElement> ApiAsync(HttpMethod method, string path, object? body = null)
{
var req = new HttpRequestMessage(method, Api + path);
if (body != null) req.Content = JsonContent.Create(body);
var res = await Http.SendAsync(req);
var json = await res.Content.ReadFromJsonAsync<JsonElement>();
if (!res.IsSuccessStatusCode)
throw new Exception(json.GetProperty("error").GetProperty("message").GetString());
return json.GetProperty("data");
}
}
Step 1 — Get a token
A guest token lets you check balances and estimate costs for free. For metered review runs
billed to your own account, use your personal token: open the
token page, sign in with SkillSafe, and press
Copy shell export — it puts export SKILLSAFE_TOKEN="…" on your
clipboard, which every example below reads. Treat the token like a password: it can spend
your credits. For fully headless scripts, POST /guest mints a guest token with
no browser involved.
curl -s -X POST "$API/guest" \
-H "Content-Type: application/json" \
-d '{"slug":"data-layer-clinic"}' | jq -r '.data.token'
token = api("POST", "/guest", {"slug": "data-layer-clinic"})["token"]
const { token } = await api("POST", "/guest", { slug: "data-layer-clinic" });
var guest struct{ Token string `json:"token"` }
err := call("POST", "/guest", map[string]string{"slug": "data-layer-clinic"}, &guest)
String envelope = api("POST", "/guest", """
{"slug":"data-layer-clinic"}""");
// token is at data.token in the returned JSON
token = api("POST", "/guest", { slug: "data-layer-clinic" })["token"]
$token = api("POST", "/guest", ["slug" => "data-layer-clinic"])["token"];
var guest = await SkillSafe.ApiAsync(HttpMethod.Post, "/guest",
new { slug = "data-layer-clinic" });
var token = guest.GetProperty("token").GetString();
The app stores this browser's token under the localStorage key
skillsafe_app_token:data-layer-clinic, on the app's own origin. The
token page reads and manages it for you — you never need
to open developer tools.
Step 2 — Check who you are and your balance
Returns subject_type ("user" or "guest"),
subject_id and your credits balance. Check this before reviewing a
large paste.
curl -s "$API/me" -H "Authorization: Bearer $TOKEN" | jq '.data'
me = api("GET", "/me")
print(me["subject_type"], me["credits"])
const me = await api("GET", "/me");
console.log(me.subject_type, me.credits);
var me struct {
SubjectType string `json:"subject_type"`
Credits int64 `json:"credits"`
}
err := call("GET", "/me", nil, &me)
String envelope = api("GET", "/me", null);
// data.subject_type, data.credits
me = api("GET", "/me")
puts "#{me["subject_type"]}: #{me["credits"]} credits"
$me = api("GET", "/me");
echo "{$me['subject_type']}: {$me['credits']} credits\n";
var me = await SkillSafe.ApiAsync(HttpMethod.Get, "/me");
Console.WriteLine($"{me.GetProperty("subject_type")}: {me.GetProperty("credits")} credits");
Step 3 — Estimate the cost
Send exactly the input you would send to /run; the response's
hold_credits is the worst-case cost. Nothing is charged and no job is created,
so estimating is free — useful when you are piping a whole lib/data/ tree
in and want a ceiling before spending credits.
| Input field | Type | Notes |
|---|---|---|
code | string, required | The Dart/Flutter sources, exactly as they sit on disk: repositories, services, models, database code, widgets or view models that touch data, pubspec.yaml, SQL DDL — one file or several concatenated, a // filename comment line between them helps the reviewer name things. This is the model's only evidence — nothing is read from your repository, a running app or a device. Pastes longer than 100,000 characters are clipped middle-out, with a // [... clipped ...] comment showing where. At least 60 characters are needed for a review. |
persistence | string | sqlite | drift | hive-isar | shared-preferences | mixed | unknown — the main local persistence in play, which sets the idioms the reviewer leans on. A Hive codebase is judged by document-store idioms, not SQLite rules. If the code itself clearly shows the stack (a sqflite import, a Drift table class), the code wins. |
concern | string | general | architecture | sql-safety | offline-sync | caching | error-handling — the review emphasis. It weights the findings and the summary, but it is emphasis and not exclusivity: a high-severity finding from another category is never suppressed. |
context | string, optional | Extra context: what the app is, how many users, what backend it syncs with, which state management is in use, whether a repository layer or a sync worker exists outside the paste, and any gap you have already chosen to accept. Clipped at 20,000 characters. |
prescan_facts | object, optional | What a client-side scanner mechanically matched in the code: {"units": [], "flags": []}. Each entry is {id, label}. Unit ids look like unit:repository/todorepository, unit:table/notes or unit:package/sqflite; flag ids are <check>:<name> across twelve families — sql-interp:rawquery-12, ui-data-access:db-notesscreenstate, no-repository:set, mutable-model:note, schema-literal:notes, weak-pk:notes, unguarded-db:set, json-in-repo:todorepository, hardcoded-db-path:line-8, plain-secret:apikey, empty-catch:line-31, prefs-blob:line-44. Every flag id you send comes back in coverage_check. The web UI fills this from its own scan; API callers may omit the field or send the two empty arrays. |
retry_note | string, optional | Only set by the app's automatic reformat retry when a first reply was not valid JSON. Leave it out. |
cat > snippet.dart <<'DART'
class NotesDao {
Future<List<Map<String, Object?>>> search(Database db, String q) {
return db.rawQuery("SELECT * FROM notes WHERE title LIKE '%$q%'");
}
}
DART
jq -n --rawfile code snippet.dart \
'{code: $code,
persistence: "sqlite",
concern: "sql-safety",
context: "Notes app data-access helper; the search box feeds q directly. No repository layer yet - this class is called straight from the screen widget.",
prescan_facts: {units: [], flags: []}}' > input.json
curl -s -X POST "$API/estimate" \
-H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
-d @input.json | jq '.data.hold_credits'
CODE = """class NotesDao {
Future<List<Map<String, Object?>>> search(Database db, String q) {
return db.rawQuery("SELECT * FROM notes WHERE title LIKE '%$q%'");
}
}
"""
payload = {
"code": CODE,
"persistence": "sqlite",
"concern": "sql-safety",
"context": "Notes app data-access helper; the search box feeds q directly. No repository layer yet - this class is called straight from the screen widget.",
"prescan_facts": {"units": [], "flags": []},
}
est = api("POST", "/estimate", payload)
print("worst case:", est.get("hold_credits", est.get("credits")), "credits")
const code = `class NotesDao {
Future<List<Map<String, Object?>>> search(Database db, String q) {
return db.rawQuery("SELECT * FROM notes WHERE title LIKE '%$q%'");
}
}
`;
const payload = {
code,
persistence: "sqlite",
concern: "sql-safety",
context: "Notes app data-access helper; the search box feeds q directly. No repository layer yet - this class is called straight from the screen widget.",
prescan_facts: { units: [], flags: [] },
};
const est = await api("POST", "/estimate", payload);
console.log("worst case:", est.hold_credits ?? est.credits, "credits");
const code = `class NotesDao {
Future<List<Map<String, Object?>>> search(Database db, String q) {
return db.rawQuery("SELECT * FROM notes WHERE title LIKE '%$q%'");
}
}
`
payload := map[string]any{
"code": code,
"persistence": "sqlite",
"concern": "sql-safety",
"context": "Notes app data-access helper; the search box feeds q directly. No repository layer yet - this class is called straight from the screen widget.",
"prescan_facts": map[string]any{
"units": []any{}, "flags": []any{},
},
}
var est struct{ HoldCredits int64 `json:"hold_credits"` }
err := call("POST", "/estimate", payload, &est)
String code = """
class NotesDao {
Future<List<Map<String, Object?>>> search(Database db, String q) {
return db.rawQuery("SELECT * FROM notes WHERE title LIKE '%$q%'");
}
}
""";
String jsonPayload = """
{"code": %s,
"persistence": "sqlite",
"concern": "sql-safety",
"context": "Notes app data-access helper; the search box feeds q directly. No repository layer yet - this class is called straight from the screen widget.",
"prescan_facts": {"units": [], "flags": []}}
""".formatted(toJsonString(code));
String envelope = api("POST", "/estimate", jsonPayload);
// worst-case cost is at data.hold_credits
CODE = <<~'DART'
class NotesDao {
Future<List<Map<String, Object?>>> search(Database db, String q) {
return db.rawQuery("SELECT * FROM notes WHERE title LIKE '%$q%'");
}
}
DART
payload = { code: CODE,
persistence: "sqlite",
concern: "sql-safety",
context: "Notes app data-access helper; the search box feeds q directly. No repository layer yet - this class is called straight from the screen widget.",
prescan_facts: { units: [], flags: [] } }
est = api("POST", "/estimate", payload)
puts "worst case: #{est["hold_credits"] || est["credits"]} credits"
$code = <<<'DART'
class NotesDao {
Future<List<Map<String, Object?>>> search(Database db, String q) {
return db.rawQuery("SELECT * FROM notes WHERE title LIKE '%$q%'");
}
}
DART;
$payload = [
"code" => $code,
"persistence" => "sqlite",
"concern" => "sql-safety",
"context" => "Notes app data-access helper; the search box feeds q directly. No repository layer yet - this class is called straight from the screen widget.",
"prescan_facts" => ["units" => [], "flags" => []],
];
$est = api("POST", "/estimate", $payload);
echo "worst case: " . ($est["hold_credits"] ?? $est["credits"]) . " credits\n";
var code = """
class NotesDao {
Future<List<Map<String, Object?>>> search(Database db, String q) {
return db.rawQuery("SELECT * FROM notes WHERE title LIKE '%$q%'");
}
}
""";
var payload = new {
code,
persistence = "sqlite",
concern = "sql-safety",
context = "Notes app data-access helper; the search box feeds q directly. No repository layer yet - this class is called straight from the screen widget.",
prescan_facts = new {
units = Array.Empty<object>(), flags = Array.Empty<object>(),
},
};
var est = await SkillSafe.ApiAsync(HttpMethod.Post, "/estimate", payload);
Console.WriteLine($"worst case: {est.GetProperty("hold_credits")} credits");
prescan_facts.flags is how you make the review answer for things you already
know about. Send {"units": [{"id": "unit:other/notesdao", "label": "class \"NotesDao\""}],
"flags": [{"id": "sql-interp:rawquery-2", "label": "rawQuery builds SQL with $q interpolated"},
{"id": "no-repository:set", "label": "no repository layer in the paste"}]} and every flag id
comes back in coverage_check — addressed by a finding, or set aside with
the reason. Nothing you flag is silently dropped, which makes it the field to assert on in a
CI check.
Step 4 — Run the review and wait for the result
/run takes the same input as /estimate, places a credit hold and
returns a job_id. Poll /jobs/{job_id} every 1–2 seconds
until status is succeeded or failed (a run typically
takes 30–90 s, since every finding carries a corrected Dart
fragment). Always send an Idempotency-Key header so a network retry can't start
a second, double-charged run. The review is in output — usually nested as
output.output, and as a JSON string, so parse defensively. The samples
below print the posture, the inventory, the prioritized findings and the focus areas, then
save the whole object to review.json.
JOB_ID=$(curl -s -X POST "$API/run" \
-H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
-H "Idempotency-Key: dlc-$(date +%s)" \
-d @input.json | jq -r '.data.job_id')
while :; do
JOB=$(curl -s "$API/jobs/$JOB_ID" -H "Authorization: Bearer $TOKEN")
STATUS=$(echo "$JOB" | jq -r '.data.status')
[ "$STATUS" = "succeeded" ] || [ "$STATUS" = "failed" ] && break
sleep 2
done
# unwrap the review once, then read it
echo "$JOB" | jq -r '.data.output.output' > review.json
jq -r '
"\(.review_name) [\(.posture)]: \(.verdict)",
"",
"INVENTORY",
(.inventory[] | " \(.kind)/\(.name) in \(.group) - \(.role)"),
"",
"FINDINGS",
(.findings[] | " [\(.priority)] \(.id) \(.category) \(.resource): \(.problem)"),
"",
"QUICK WINS",
(.quick_wins[] | " - \(.)"),
"",
"FOCUS AREAS",
(.focus_areas[] | " \(.area) - \(.why)"),
"",
"COVERAGE",
(.coverage_check[] | " \(.id): \(if .addressed then "ok" else "SET ASIDE" end) - \(.note)")' \
review.json
# fail the pipeline on anything critical
jq -e '[.findings[] | select(.priority == "critical")] | length == 0' review.json > /dev/null \
|| { echo "critical findings present"; exit 1; }
import time
job_id = api("POST", "/run", payload,
**{"Idempotency-Key": "dlc-001"})["job_id"]
while True:
job = api("GET", f"/jobs/{job_id}")
if job["status"] in ("succeeded", "failed"):
break
time.sleep(1.5)
if job["status"] == "failed":
raise RuntimeError(job.get("error", "run failed"))
raw = job["output"]
if isinstance(raw, dict) and "output" in raw:
raw = raw["output"]
review = json.loads(raw) if isinstance(raw, str) else raw
print(f'{review["review_name"]} [{review["posture"]}]: {review["verdict"]}')
for r in review["inventory"]:
print(f' {r["kind"]}/{r["name"]:<24} grp={r["group"] or "-":<12} {r["role"]}')
for f in review["findings"]:
print(f' [{f["priority"]:>8}] {f["id"]} {f["category"]} {f["resource"]}')
print(f' L:{f["likelihood"]}/S:{f["severity"]} {f["problem"]}')
print(f' fix: {f["fix"]}')
if f["snippet"]:
print(" snippet:", f["snippet"].splitlines()[0], "...")
for w in review["quick_wins"]:
print(" win:", w)
for a in review["focus_areas"]:
print(f' focus {a["area"]} {a["finding_ids"]} - {a["why"]}')
for c in review["coverage_check"]:
print(f' {c["id"]}: {"ok" if c["addressed"] else "SET ASIDE"} - {c["note"]}')
with open("review.json", "w", encoding="utf-8") as fh:
json.dump(review, fh, indent=2)
critical = [f for f in review["findings"] if f["priority"] == "critical"]
if critical:
raise SystemExit(f"{len(critical)} critical finding(s)")
import { writeFileSync } from "node:fs";
const { job_id } = await api("POST", "/run", payload,
{ "Idempotency-Key": crypto.randomUUID() });
let job;
do {
await new Promise((r) => setTimeout(r, 1500));
job = await api("GET", `/jobs/${job_id}`);
} while (job.status !== "succeeded" && job.status !== "failed");
if (job.status === "failed") throw new Error(job.error ?? "run failed");
const raw = job.output?.output ?? job.output;
const review = typeof raw === "string" ? JSON.parse(raw) : raw;
console.log(`${review.review_name} [${review.posture}]: ${review.verdict}`);
for (const r of review.inventory) {
console.log(` ${r.kind}/${r.name} (${r.group || "-"}): ${r.role}`);
}
for (const f of review.findings) {
console.log(` [${f.priority}] ${f.id} ${f.category} ${f.resource}`);
console.log(` L:${f.likelihood}/S:${f.severity} - ${f.fix}`);
}
for (const w of review.quick_wins) console.log(` win: ${w}`);
for (const a of review.focus_areas) {
console.log(` focus ${a.area} (${a.finding_ids.join(", ")}): ${a.why}`);
}
for (const c of review.coverage_check) {
console.log(` ${c.id}: ${c.addressed ? "ok" : "SET ASIDE"} - ${c.note}`);
}
writeFileSync("review.json", JSON.stringify(review, null, 2));
const critical = review.findings.filter((f) => f.priority === "critical");
if (critical.length) process.exitCode = 1;
var started struct{ JobID string `json:"job_id"` }
if err := call("POST", "/run", payload, &started); err != nil {
log.Fatal(err)
}
var job struct {
Status string `json:"status"`
Error string `json:"error"`
Output json.RawMessage `json:"output"`
}
for {
if err := call("GET", "/jobs/"+started.JobID, nil, &job); err != nil {
log.Fatal(err)
}
if job.Status == "succeeded" || job.Status == "failed" {
break
}
time.Sleep(1500 * time.Millisecond)
}
// job.Output is {"output": "<json string>"} — unwrap, then unmarshal:
type Review struct {
ReviewName string `json:"review_name"`
Posture string `json:"posture"`
Verdict string `json:"verdict"`
ExecSummary string `json:"exec_summary"`
Assumptions []string `json:"assumptions"`
OpenQuestions []string `json:"open_questions"`
Inventory []struct {
Kind, Name, Group, Role string
} `json:"inventory"`
Findings []struct {
ID, Category, Severity, Likelihood, Priority string
Resource, Problem, Impact, Fix, Snippet string
} `json:"findings"`
CoverageCheck []struct {
ID, Note string
Addressed bool
} `json:"coverage_check"`
QuickWins []string `json:"quick_wins"`
FocusAreas []struct {
Area, Why string
FindingIDs []string `json:"finding_ids"`
} `json:"focus_areas"`
Summary string `json:"summary"`
}
var wrapper struct{ Output string `json:"output"` }
json.Unmarshal(job.Output, &wrapper)
var review Review
json.Unmarshal([]byte(wrapper.Output), &review)
fmt.Printf("%s [%s]: %s\n", review.ReviewName, review.Posture, review.Verdict)
for _, r := range review.Inventory {
fmt.Printf(" %s/%s (%s): %s\n", r.Kind, r.Name, r.Group, r.Role)
}
for _, f := range review.Findings {
fmt.Printf(" [%s] %s %s %s: %s\n", f.Priority, f.ID, f.Category, f.Resource, f.Problem)
}
for _, a := range review.FocusAreas {
fmt.Printf(" focus %s %v: %s\n", a.Area, a.FindingIDs, a.Why)
}
os.WriteFile("review.json", []byte(wrapper.Output), 0o644)
String envelope = api("POST", "/run", jsonPayload);
String jobId = /* data.job_id via your JSON library */;
while (true) {
String job = api("GET", "/jobs/" + jobId, null);
String status = /* data.status */;
if (status.equals("succeeded") || status.equals("failed")) break;
Thread.sleep(1500);
}
// The review is at data.output.output as a JSON string — parse it again, then read
// review_name, posture, verdict, exec_summary, assumptions[], open_questions[],
// inventory[] (kind/name/group/role),
// findings[] (id/category/severity/likelihood/priority/resource/problem/impact/fix/snippet),
// coverage_check[] (id/addressed/note), quick_wins[],
// focus_areas[] (area/why/finding_ids[]) and summary.
// Finally keep the review on disk:
// Files.writeString(Path.of("review.json"), reviewJson);
started = api("POST", "/run", payload)
job = nil
loop do
job = api("GET", "/jobs/#{started["job_id"]}")
break if %w[succeeded failed].include?(job["status"])
sleep 1.5
end
raise (job["error"] || "run failed") if job["status"] == "failed"
raw = job["output"].is_a?(Hash) ? job["output"].fetch("output", job["output"]) : job["output"]
review = raw.is_a?(String) ? JSON.parse(raw) : raw
puts "#{review["review_name"]} [#{review["posture"]}]: #{review["verdict"]}"
review["inventory"].each { |r| puts " #{r["kind"]}/#{r["name"]} (#{r["group"]}): #{r["role"]}" }
review["findings"].each do |f|
puts " [#{f["priority"]}] #{f["id"]} #{f["category"]} #{f["resource"]}"
puts " L:#{f["likelihood"]}/S:#{f["severity"]} - #{f["fix"]}"
end
review["quick_wins"].each { |w| puts " win: #{w}" }
review["focus_areas"].each { |a| puts " focus #{a["area"]} #{a["finding_ids"].join(", ")}" }
review["coverage_check"].each { |c| puts " #{c["id"]}: #{c["addressed"] ? "ok" : "SET ASIDE"}" }
File.write("review.json", JSON.pretty_generate(review))
exit 1 if review["findings"].any? { |f| f["priority"] == "critical" }
$started = api("POST", "/run", $payload);
do {
sleep(2);
$job = api("GET", "/jobs/" . $started["job_id"]);
} while (!in_array($job["status"], ["succeeded", "failed"]));
if ($job["status"] === "failed") {
throw new Exception($job["error"] ?? "run failed");
}
$raw = is_array($job["output"]) ? ($job["output"]["output"] ?? $job["output"]) : $job["output"];
$review = is_string($raw) ? json_decode($raw, true) : $raw;
echo "{$review['review_name']} [{$review['posture']}]: {$review['verdict']}\n";
foreach ($review["inventory"] as $r) {
echo " {$r['kind']}/{$r['name']} ({$r['group']}): {$r['role']}\n";
}
foreach ($review["findings"] as $f) {
echo " [{$f['priority']}] {$f['id']} {$f['category']} {$f['resource']}\n";
echo " L:{$f['likelihood']}/S:{$f['severity']} - {$f['fix']}\n";
}
foreach ($review["quick_wins"] as $w) {
echo " win: $w\n";
}
foreach ($review["focus_areas"] as $a) {
echo " focus {$a['area']}: " . implode(", ", $a["finding_ids"]) . "\n";
}
foreach ($review["coverage_check"] as $c) {
echo " {$c['id']}: " . ($c["addressed"] ? "ok" : "SET ASIDE") . "\n";
}
file_put_contents("review.json", json_encode($review, JSON_PRETTY_PRINT));
var started = await SkillSafe.ApiAsync(HttpMethod.Post, "/run", payload);
var jobId = started.GetProperty("job_id").GetString();
JsonElement job;
while (true)
{
job = await SkillSafe.ApiAsync(HttpMethod.Get, $"/jobs/{jobId}");
var status = job.GetProperty("status").GetString();
if (status is "succeeded" or "failed") break;
await Task.Delay(1500);
}
var rawText = job.GetProperty("output").GetProperty("output").GetString();
using var doc = JsonDocument.Parse(rawText!);
var review = doc.RootElement;
Console.WriteLine($"{review.GetProperty("review_name")} " +
$"[{review.GetProperty("posture")}]: {review.GetProperty("verdict")}");
foreach (var r in review.GetProperty("inventory").EnumerateArray())
{
Console.WriteLine($" {r.GetProperty("kind")}/{r.GetProperty("name")}: {r.GetProperty("role")}");
}
foreach (var f in review.GetProperty("findings").EnumerateArray())
{
Console.WriteLine($" [{f.GetProperty("priority")}] {f.GetProperty("id")} " +
$"{f.GetProperty("category")} {f.GetProperty("resource")} " +
$"(L:{f.GetProperty("likelihood")}/S:{f.GetProperty("severity")})");
}
foreach (var a in review.GetProperty("focus_areas").EnumerateArray())
{
Console.WriteLine($" focus {a.GetProperty("area")}: {a.GetProperty("why")}");
}
await File.WriteAllTextAsync("review.json", rawText!);
The model is asked for one JSON object and nothing else, but a stray code fence or preamble
is always possible. Strip a leading ```json fence, take the text between the
first { and the last }, and only then parse — that is what
the app does before it falls back to a retry_note reformat run.
The review object — output schema
One JSON object, always the same shape. Every array is present, and the review is grounded
in the pasted code alone: findings cite only classes, methods, tables, packages and lines
that actually appear in code, and something that is simply absent (no
repository layer, no whereArgs, no open() guard, no error
handling) is reported against the closest real unit or against
(missing from the paste). Where the code is silent on something that changes
the verdict you get an entry in assumptions and, if it would change the
ranking, in open_questions. Expect five to fifteen findings on a typical
paste — a well-built data layer may honestly yield two or three, and
findings is never empty.
| Field | Type | Meaning |
|---|---|---|
review_name | string | A short title naming the codebase, taken from the code's own naming — e.g. notes app data layer — Flutter review. |
posture | string | well-architected | refactor-recommended | at-risk. See the table below. |
verdict | string | One sentence justifying the posture and naming the single most important change. |
exec_summary | string | Two or three paragraphs, separated by blank lines, on the dominant themes across the paste. |
assumptions | string[] | Explicit assumptions filling gaps the code left open. Read these first — a wrong assumption invalidates the findings built on it. |
open_questions | string[] | Questions whose answers would change the ranking. |
inventory | array | {kind, name, group, role} — every unit the review parsed out of the paste and the part it plays. kind is the unit type (repository, service, model, widget, viewmodel, table, package, other); name is the class, table or package name; group is the // filename comment the unit sits under, or -. Every class that touches data, every SQL table and every persistence-relevant package is inventoried; pure-UI classes that never touch data are skipped. |
findings | array | The prioritized findings table — ids DL-001, DL-002, … in sequence, at least one entry. Columns are listed below. |
coverage_check | array | {id, addressed, note} — one entry per prescan_facts.flags id you sent, each appearing exactly once. See the semantics below. |
quick_wins | string[] | One-line changes worth doing immediately, ahead of any planning. May be empty when nothing here is a one-liner. |
focus_areas | array | {area, why, finding_ids} — what to work through first, one sentence tied to the review, and the finding ids that motivate it. Every id in finding_ids exists in findings. |
summary | string | Closing paragraph: what to fix first, and what risk remains after that. |
The three posture values:
| posture | What it means |
|---|---|
well-architected | The data layer holds up as written: repositories over services, immutable domain models, parameterized queries against a constant-named schema, an idempotent open() guard, offline-first reads and flagged writes, errors surfaced rather than swallowed. Findings still exist, but they are additions and refinements — a migrations strategy, transaction batching, test seams — not blockers. A genuinely well-built data layer lands here rather than having severity manufactured for it. |
refactor-recommended | The shape is right or recoverable, but named gaps should be closed before this grows more entities — JSON work sitting in a repository, a mutable model, schema names inlined per query, a missing open() guard, a caching choice the data has outgrown. |
at-risk | At least one thing corrupts or loses user data, is injectable, or leaks a credential as written: SQL built by interpolating user input, a widget that owns the whole data path with a swallowed write error, a live API key in the source, records stored as a rewritten-every-save prefs blob. |
Each entry in findings:
| Column | Meaning |
|---|---|
id | Sequential DL-001, DL-002, … — the stable handle referenced from focus_areas[].finding_ids. |
category | architecture | sql-safety | models | offline-sync | caching | error-handling | hygiene. Weighted by the concern you sent, but never restricted to it. |
severity | low | medium | high — how bad it is when it bites. |
likelihood | low | medium | high — how likely it is to bite. |
priority | critical | high | medium | low — severity by likelihood. critical is reserved for something that corrupts or loses user data, makes a query injectable from user input, or ships a live credential in the binary as written, so sort on this field and work top-down. This is also the field to gate a pipeline on. |
resource | The unit this is about — e.g. class NotesScreenState or table notes — always something that appears in code, or the literal (missing from the paste) when the finding is about an absent layer or guard. |
problem | What is wrong, in this code specifically. |
impact | What happens in the shipped app because of it — the injectable query, the UI state drifting from disk, the write error nobody sees, the key extractable from the APK. |
fix | The concrete change to make — not "clean up the data layer". |
snippet | A corrected Dart, pubspec.yaml or SQL fragment you can paste: the fixed method, class skeleton or query, correctly indented, not the whole file. Empty string when a snippet would add nothing. Secret values are never echoed — a placeholder appears instead. |
coverage_check semantics:
| Case | What you get |
|---|---|
| Every flag id you sent | Each prescan_facts.flags id appears in coverage_check exactly once. Nothing you flagged is silently dropped, which makes this the field to assert on in a CI check. Ids in prescan_facts.units are not reconciled here — they shape the inventory instead. |
addressed: true | The flag is covered by the review; note names the finding id that covers it. |
addressed: false | The flag was deliberately set aside; note gives the reason — a check that fired but is not a real problem for this code (a repository layer that lives outside the paste per context, an interpolated name that is in fact a compile-time constant, a dev-only seed script). |
| Nothing sent | Omit prescan_facts, or send the two empty arrays, and coverage_check comes back empty. The rest of the review is unaffected. |
A small, realistic result for the NotesDao snippet above, sent with the
prescan flags from the note in step 3 as well, trimmed for length:
{
"review_name": "notes search data access — Flutter review",
"posture": "at-risk",
"verdict": "The search query is built by interpolating user text straight into SQL, so
parameterize it before anything else; the missing repository layer is the
structural fix that keeps this from recurring.",
"exec_summary": "One data-access helper, NotesDao, whose single method builds a SELECT by
string interpolation and is called straight from a screen widget.
Two themes carry the findings: the query is injectable from the search box
today, and with no repository or service boundary every future screen will
copy this pattern. Both are local edits, not a redesign.",
"assumptions": [
"The q parameter comes from user-typed search text, as the context states.",
"No repository or service classes exist in files outside this paste."
],
"open_questions": [
"Is the search box the only user input that reaches a query anywhere in the app?",
"Who owns the Database handle passed in - is open() guarded at the call site?"
],
"inventory": [
{ "kind": "other", "name": "NotesDao", "group": "snippet.dart",
"role": "Data-access helper: builds and runs the notes search query." },
{ "kind": "table", "name": "notes", "group": "-",
"role": "Note rows searched by title." }
],
"findings": [
{ "id": "DL-001", "category": "sql-safety",
"severity": "high", "likelihood": "high", "priority": "critical",
"resource": "class NotesDao",
"problem": "rawQuery builds its SQL with '%$q%' interpolated from the search field.",
"impact": "Any user can inject SQL through the search box - read other tables, corrupt
rows, or crash the query with a stray quote.",
"fix": "Use a ? placeholder and pass the value in the arguments list.",
"snippet": "return db.rawQuery(\n 'SELECT * FROM notes WHERE title LIKE ?',\n ['%$q%'],\n);" },
{ "id": "DL-002", "category": "architecture",
"severity": "medium", "likelihood": "high", "priority": "high",
"resource": "class NotesDao",
"problem": "The screen widget calls this helper directly; there is no repository owning
the notes entity.",
"impact": "Caching, sync and mapping rules have nowhere to live, so each new screen
re-implements data access its own way and the UI drifts from disk.",
"fix": "Introduce a NotesRepository that injects a database service and exposes domain
models; make the widget call the repository.",
"snippet": "class NotesRepository {\n NotesRepository({required DatabaseService databaseService})\n : _databaseService = databaseService;\n final DatabaseService _databaseService;\n\n Future<List<Note>> search(String q) async {\n final rows = await _databaseService.searchNotes(q);\n return rows.map(Note.fromMap).toList();\n }\n}" }
],
"coverage_check": [
{ "id": "sql-interp:rawquery-2", "addressed": true, "note": "DL-001." },
{ "id": "no-repository:set", "addressed": true, "note": "DL-002." }
],
"quick_wins": [
"Swap the interpolated LIKE for a ? placeholder with the value in the arguments list."
],
"focus_areas": [
{ "area": "Query safety",
"why": "An injectable query reachable from a text field is the one defect here that is
exploitable today.",
"finding_ids": ["DL-001"] },
{ "area": "A repository boundary",
"why": "The structural change that stops data access from living in widgets as the app
grows.",
"finding_ids": ["DL-002"] }
],
"summary": "Parameterize the query first; then put a repository in front of the database so
the next screen doesn't repeat the pattern. …"
}
This is AI-generated review from pasted text, not a production sign-off: it sees only the
code you sent, never the running app, its database file or its backend. Check
assumptions and open_questions before you act on the rankings,
validate every snippet with dart analyze and your tests, and keep a human
reviewer in the loop.
Step 5 — Stream the review as it is written
/run-stream takes exactly the same body as /run but answers with
server-sent events, so you can show progress instead of a spinner — useful here
because a full findings table with corrected fragments makes for a long reply. This app's own
progress panel is this endpoint. Events are separated by a blank line; each has an
event: line and a data: line carrying JSON.
| Event | Payload | Meaning |
|---|---|---|
job | {job_id, status} | Sent once, when the job is accepted — show "starting". |
delta | {text} | A chunk of the reply, in order. Append it; the accumulated length is your only progress signal (the total is not known in advance). The app advances its step list by watching for the "review_name", "inventory", "findings", "coverage_check" and "focus_areas" keys as they arrive. |
done | {job_id, status, charged_credits, output} | The final, authoritative result — read the review from output.output rather than trusting concatenated deltas, and the settled price from charged_credits. |
error | {code, message} | Replaces done when the run fails. |
# -N disables buffering so events print as they arrive
curl -N -s -X POST "$API/run-stream" \
-H "Authorization: Bearer $TOKEN" -H "Content-Type: application/json" \
-H "Idempotency-Key: dlc-$(date +%s)" \
-d @input.json
# event: job
# data: {"job_id":"job_...","status":"running"}
#
# event: delta
# data: {"text":"{\"review_name\":\"notes search"}
# ...
# event: done
# data: {"job_id":"job_...","status":"succeeded","charged_credits":612,"output":{"output":"{...}"}}
import json, requests
result = None
with requests.post(
API + "/run-stream",
headers={"Authorization": f"Bearer {TOKEN}",
"Idempotency-Key": "dlc-001"},
json=payload,
stream=True,
) as r:
r.raise_for_status()
event = None
for line in r.iter_lines(decode_unicode=True):
if not line:
continue
if line.startswith("event:"):
event = line[len("event:"):].strip()
elif line.startswith("data:"):
data = json.loads(line[len("data:"):].strip())
if event == "delta":
print(".", end="", flush=True) # live progress
elif event == "done":
result = data
elif event == "error":
raise RuntimeError(data.get("message", "run failed"))
review = json.loads(result["output"]["output"]) # authoritative
print("charged:", result["charged_credits"], "-", review["review_name"])
print("posture:", review["posture"])
for f in review["findings"]:
print(f' [{f["priority"]}] {f["id"]} {f["resource"]}: {f["problem"]}')
with open("review.json", "w", encoding="utf-8") as fh:
json.dump(review, fh, indent=2)
const res = await fetch(API + "/run-stream", {
method: "POST",
headers: {
Authorization: `Bearer ${TOKEN}`,
"Content-Type": "application/json",
"Idempotency-Key": crypto.randomUUID(),
},
body: JSON.stringify(payload),
});
const reader = res.body.getReader();
const decoder = new TextDecoder();
let buf = "", done = null;
for (;;) {
const chunk = await reader.read();
if (chunk.done) break;
buf += decoder.decode(chunk.value, { stream: true });
const frames = buf.split("\n\n");
buf = frames.pop();
for (const frame of frames) {
const name = /^event:\s*(.+)$/m.exec(frame)?.[1];
const body = /^data:\s*(.+)$/m.exec(frame)?.[1];
if (!name || !body) continue;
const data = JSON.parse(body);
if (name === "delta") process.stdout.write("."); // live progress
if (name === "done") done = data;
if (name === "error") throw new Error(data.message ?? "run failed");
}
}
const review = JSON.parse(done.output.output);
console.log(`\n${done.charged_credits} credits - ${review.review_name} [${review.posture}]`);
for (const f of review.findings) console.log(` [${f.priority}] ${f.id} ${f.resource}`);
writeFileSync("review.json", JSON.stringify(review, null, 2));
body, _ := json.Marshal(payload)
req, _ := http.NewRequest("POST", API+"/run-stream", bytes.NewReader(body))
req.Header.Set("Authorization", "Bearer "+token)
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Idempotency-Key", "dlc-001")
res, err := http.DefaultClient.Do(req)
if err != nil {
log.Fatal(err)
}
defer res.Body.Close()
var event string
var final map[string]any
sc := bufio.NewScanner(res.Body)
sc.Buffer(make([]byte, 0, 64*1024), 4*1024*1024)
for sc.Scan() {
line := sc.Text()
switch {
case strings.HasPrefix(line, "event:"):
event = strings.TrimSpace(strings.TrimPrefix(line, "event:"))
case strings.HasPrefix(line, "data:"):
var data map[string]any
json.Unmarshal([]byte(strings.TrimPrefix(line, "data:")), &data)
switch event {
case "delta":
fmt.Print(".") // live progress
case "done":
final = data
case "error":
log.Fatal(data["message"])
}
}
}
// final["output"].(map[string]any)["output"].(string) is the review JSON —
// unmarshal it into the Review struct from step 4, then write it to review.json.
// Java 17+ — read the stream line by line instead of buffering the body.
var req = HttpRequest.newBuilder(URI.create(API + "/run-stream"))
.header("Authorization", "Bearer " + TOKEN)
.header("Content-Type", "application/json")
.header("Idempotency-Key", "dlc-001")
.POST(HttpRequest.BodyPublishers.ofString(jsonPayload))
.build();
var res = HTTP.send(req, HttpResponse.BodyHandlers.ofLines());
String event = null, done = null;
for (String line : (Iterable<String>) res.body()::iterator) {
if (line.startsWith("event:")) {
event = line.substring(6).trim();
} else if (line.startsWith("data:")) {
String data = line.substring(5).trim();
if ("delta".equals(event)) System.out.print("."); // live progress
else if ("done".equals(event)) done = data;
else if ("error".equals(event)) throw new RuntimeException(data);
}
}
// parse `done`, then parse data.output.output again — it is a JSON string holding
// review_name, posture, verdict, inventory[], findings[], coverage_check[],
// quick_wins[], focus_areas[] and the rest.
require "net/http"
require "json"
uri = URI(API + "/run-stream")
req = Net::HTTP::Post.new(uri)
req["Authorization"] = "Bearer #{TOKEN}"
req["Content-Type"] = "application/json"
req["Idempotency-Key"] = "dlc-001"
req.body = payload.to_json
event = nil
done = nil
Net::HTTP.start(uri.host, uri.port, use_ssl: true) do |http|
http.request(req) do |res|
res.read_body do |chunk|
chunk.each_line do |line|
line = line.strip
if line.start_with?("event:")
event = line.delete_prefix("event:").strip
elsif line.start_with?("data:")
data = JSON.parse(line.delete_prefix("data:").strip)
case event
when "delta" then print "." # live progress
when "done" then done = data
when "error" then raise (data["message"] || "run failed")
end
end
end
end
end
end
review = JSON.parse(done["output"]["output"])
puts "\n#{done["charged_credits"]} credits - #{review["review_name"]} [#{review["posture"]}]"
review["findings"].each { |f| puts " [#{f["priority"]}] #{f["id"]} #{f["resource"]}" }
File.write("review.json", JSON.pretty_generate(review))
$event = null;
$done = null;
$ch = curl_init(API . "/run-stream");
curl_setopt_array($ch, [
CURLOPT_POST => true,
CURLOPT_HTTPHEADER => [
"Authorization: Bearer $TOKEN",
"Content-Type: application/json",
"Idempotency-Key: dlc-001",
],
CURLOPT_POSTFIELDS => json_encode($payload),
CURLOPT_WRITEFUNCTION => function ($ch, $chunk) use (&$event, &$done) {
foreach (explode("\n", $chunk) as $line) {
$line = trim($line);
if (str_starts_with($line, "event:")) {
$event = trim(substr($line, 6));
} elseif (str_starts_with($line, "data:")) {
$data = json_decode(trim(substr($line, 5)), true);
if ($event === "delta") { echo "."; } // live progress
elseif ($event === "done") { $done = $data; }
elseif ($event === "error") { throw new Exception($data["message"] ?? "run failed"); }
}
}
return strlen($chunk);
},
]);
curl_exec($ch);
curl_close($ch);
$review = json_decode($done["output"]["output"], true);
echo "\n{$done['charged_credits']} credits - {$review['review_name']} [{$review['posture']}]\n";
foreach ($review["findings"] as $f) {
echo " [{$f['priority']}] {$f['id']} {$f['resource']}\n";
}
file_put_contents("review.json", json_encode($review, JSON_PRETTY_PRINT));
var req = new HttpRequestMessage(HttpMethod.Post, Api + "/run-stream") {
Content = JsonContent.Create(payload),
};
req.Headers.Add("Idempotency-Key", "dlc-001");
using var res = await Http.SendAsync(req, HttpCompletionOption.ResponseHeadersRead);
using var reader = new StreamReader(await res.Content.ReadAsStreamAsync());
string? evt = null, done = null;
while (await reader.ReadLineAsync() is { } line)
{
if (line.StartsWith("event:")) evt = line[6..].Trim();
else if (line.StartsWith("data:"))
{
var data = line[5..].Trim();
if (evt == "delta") Console.Write("."); // live progress
else if (evt == "done") done = data;
else if (evt == "error") throw new Exception(data);
}
}
using var final = JsonDocument.Parse(done!);
var text = final.RootElement.GetProperty("output").GetProperty("output").GetString();
using var reviewDoc = JsonDocument.Parse(text!);
var review = reviewDoc.RootElement;
Console.WriteLine($"{review.GetProperty("review_name")} [{review.GetProperty("posture")}]");
foreach (var f in review.GetProperty("findings").EnumerateArray())
Console.WriteLine($" [{f.GetProperty("priority")}] {f.GetProperty("id")} {f.GetProperty("resource")}");
await File.WriteAllTextAsync("review.json", text!);
In a browser, the native EventSource only speaks GET, and this endpoint is a
POST — read the fetch response body incrementally, as the JavaScript
sample above does. On an idempotent replay the server may answer with a plain JSON
envelope instead of an event stream; check the Content-Type before you start
parsing frames.