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Top 5 patterns to fix first

Sorted by anomaly — patterns where this repo ranks worst against the corpus, weighted by severity. Fixing these brings the biggest improvement to your corpus percentile.

high 90th percentile (worse) self.attribute used but never assigned in __init__
25 instances in this repo · corpus median for python repos: 4 · seen in src/flask/config.py:124, src/flask/wrappers.py:206, src/flask/wrappers.py:205, …
high 75th percentile (worse) Phantom test coverage (assertion-free test)
25 instances in this repo · corpus median for python repos: 8 · seen in tests/test_cli.py:217, tests/test_config.py:132, tests/test_config.py:110, …
medium below median Bare except continues silently
4 instances in this repo · corpus median for python repos: 2 · seen in src/flask/cli.py:650, src/flask/cli.py:956, src/flask/app.py:1598, …
high top 10% FastAPI POST/PUT/DELETE/PATCH endpoint without auth
6 instances in this repo · corpus median for python repos: 63 · seen in examples/celery/src/task_app/views.py:30, examples/celery/src/task_app/views.py:36, examples/celery/src/task_app/views.py:22, …
high top 10% Weak Crypto
1 instance in this repo · corpus median for python repos: 4 · seen in src/flask/sessions.py:277
70 of your 88 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 1.89s · analysis 2.23s · 1.8 MB · GitHub preflight 425ms

pallets/flask

https://github.com/pallets/flask.git · scanned 2026-05-19 19:33 UTC (2 weeks, 2 days ago) · 10 languages

640 findings (88 legacy + 552 scanner) 94th percentile · Python · small (2-20K LoC) Scanner says 68 (higher by 20)

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

Complete repo analysis

Last scanned 2 weeks, 2 days ago · v8 · 157 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
80.1
/100
Repobility
93
88 legacy
9-layer
68
88.9% cov · 69 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 100.0 0.15 15.00
security_score 90.4 0.25 22.60
testing_score 100.0 0.20 20.00
documentation_score 73.0 0.15 10.95
practices_score 82.0 0.15 12.30
code_quality 64.0 0.10 6.40
Overall 1.00 87.2
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 64 Medium 9 Low 63 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 88 9-layer 69 Crowd 0 Layer: Quality 108 Security 10 Software 23 Frontend 1 Cicd 1 Api 14
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
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  -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": 527, "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": 527, "title": "...",
 "severity": "high", "layer": "security", "file": "x.py", "line": 12,
 "suggested_detector": "regex: ..."}
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