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

Scan timing: clone 1.64s · analysis 13.01s · 7.1 MB · GitHub API rate-limit (preflight)

openai/openai-python

https://github.com/openai/openai-python · scanned 2026-05-24 01:20 UTC (1 week, 5 days ago) · 10 languages

940 findings (180 legacy + 760 scanner) 62nd percentile · Python · large (100-500K LoC) Scanner says 86 (lower by 8)

File as issue Image v2 schema
UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 1 week, 5 days ago · v5 · 333 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
86.9
/100
Repobility
87
180 legacy
9-layer
87
88.9% cov · 153 gaps
Critical
3
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-18-v5
Component Sub-score Weight Contribution
structure_score 85.0 0.15 12.75
security_score 98.7 0.25 24.68
testing_score 62.0 0.20 12.40
documentation_score 95.0 0.15 14.25
practices_score 68.0 0.15 10.20
code_quality 39.0 0.10 3.90
Overall 1.00 78.2
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 3 High 130 Medium 29 Low 152 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 180 9-layer 153 Crowd 0 Layer: Quality 246 Cicd 2 Software 80 Api 1 Hardware 3 Frontend 1
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": 186, "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": 186, "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/b4bd9d3a-a4bb-4865-8249-595ff2477b57/

To check status programmatically (no auth required): 

curl -s https://repobility.com/api/v1/public/scan/b4bd9d3a-a4bb-4865-8249-595ff2477b57/

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.