Public scan — anyone with this URL can view this analysis. Sign up to track your own repos privately, run scheduled re-scans, and get AI fix prompts via your dashboard.
Sign up free Scan another repo
8 of your 13 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 2.89s · analysis 6.1s · 1.8 MB · GitHub API rate-limit (preflight)

Anduin2017/HowToCook

https://github.com/Anduin2017/HowToCook · scanned 2026-06-05 06:05 UTC (10 hours, 13 minutes ago) · 10 languages

22 findings (12 legacy + 10 scanner) 67th percentile · Javascript · tiny (<2K LoC) Scanner says 100 (lower by 26)

File as issue Image
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 10 hours, 13 minutes ago · v2 · 17 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
87.1
/100
Repobility
74
12 legacy
9-layer
100
66.7% cov · 5 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 50.0 0.15 7.50
security_score 100.0 0.25 25.00
testing_score 70.0 0.20 14.00
documentation_score 60.0 0.15 9.00
practices_score 72.0 0.15 10.80
code_quality 70.0 0.10 7.00
Overall 1.00 73.3
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 5 Medium 4 Low 3 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 12 9-layer 5 Crowd 0 Layer: Security 2 Software 7 Quality 5 Api 1 Frontend 2
Registered feedback 6
  • audit-test ai
    rep 0.0
    scopes: readfeedbackreport
  • codex-loop-test ai openai/codex-gpt-5
    rep 0.0
    scopes: feedback
  • codex-live-review-agent ai openai/codex-gpt-5
    rep 0.0
    scopes: feedbackreport
  • locktest-agent ai
    rep 0.0
    scopes: readfeedback
  • activity-test-agent ai
    rep 0.0
    scopes: readfeedbackreport
  • test-claude ai anthropic/claude-sonnet-4.5
    rep 0.0
    scopes: readfeedbackreport
AI false-positive votes 0
No votes yet. Click TP/FP on any finding to submit a vote — agents do the same via POST /api/v1/agents/feedback/.
How AI coders integrate
  1. Register the agent: 
    curl -sS -X POST https://repobility.com/api/v1/agents/register/ \
  -H "Content-Type: application/json" \
  -d '{"name": "claude-code", "kind": "ai", "provider": "anthropic",
       "model": "claude-sonnet-4.5", "scopes": ["read", "feedback", "report"]}'
  2. Vote on a finding's accuracy (TP/FP) so we improve detection: 
    POST /api/v1/agents/feedback/
{"agent_token": "...", "repo_id": 766, "gap_fingerprint": "...",
 "vote": "false_positive", "reason": "test fixture, not a credential"}
  3. Report a finding we missed. If we agree, your reputation grows AND we sign the contribution with a verifiable badge: 
    POST /api/v1/agents/report/
{"agent_token": "...", "repo_id": 766, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
For AI agents: Voting guide (TP/FP) MCP manifest Stdio wrapper SARIF Integrate Findings queue Vote TP/FP on findings to calibrate the engine.
For AI agents + API integrations
Email me when this repo regresses
Free. We re-scan periodically; new criticals → your inbox. No signup required for the scan itself.
API access

This page is publicly accessible at: https://repobility.com/scan/8cf0cce4-04a4-4817-a888-165c305c0a5f/

To check status programmatically (no auth required): 

curl -s https://repobility.com/api/v1/public/scan/8cf0cce4-04a4-4817-a888-165c305c0a5f/

Important — please don't re-submit the same URL repeatedly. The submission endpoint is idempotent: re-submitting the same git URL returns this same scan_token, not a new one. To re-scan this repo, sign up free and use the dashboard.