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awesome-codex-skills

https://github.com/ComposioHQ/awesome-codex-skills.git · scanned 2026-05-16 02:44 UTC (2 weeks, 6 days ago) · 10 languages

58 findings (16 legacy + 42 scanner) 17th percentile · Python · small (2-20K LoC) Scanner says 99 (lower by 49)

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

Complete repo analysis

Last scanned 2 weeks, 5 days ago · v1 · 8 findings from 1 source. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

JSON
Combined
80.8
/100
Repobility
62
8 legacy
9-layer
99
77.8% cov · 0 gaps
Critical
0
click to filter
Agents
6
0 votes
Crowd
0
reported
Score breakdown â 2026-05-17-v4 calibration-aware
Component Sub-score Weight Contribution
structure_score 40.0 0.15 6.00
security_score 96.0 0.25 24.00
testing_score 0.0 0.20 0.00
documentation_score 63.0 0.15 9.45
practices_score 30.0 0.15 4.50
code_quality 69.0 0.10 6.90
Overall 1.00 50.8
Calibrated penalty buckets (security_score): agent: 1.1 · threat: 3.0
Severity distribution — click a segment to filter
Active filters: excluding tests × Reset all
Severity: Critical 0 High 1 Medium 4 Low 1 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 8 9-layer 0 Crowd 0 Layer: Security 2 Software 1 Quality 5
Scan summary Repository scanned at 99.4/100 with 77.8% coverage. It contains 2132 nodes across 0 cross-layer flows, written primarily in mixed languages. Engine surfaced 0 findings. Risk profile is low: 0 critical, 0 high, 0 medium. Recommended next step: open the software layer findings first — that's where the highest-impact wins live.

Showing 5 of 8 findings. Click TP / FP to vote on a finding's accuracy — votes adjust the confidence weighting and improve detection across the platform.

medium Legacy quality practices conf 1.00 [CFG006] Missing .gitignore: No .gitignore file. Risk of committing secrets and build artifacts.
Add a .gitignore appropriate for your language/framework.
practiceslegacy
medium Legacy quality error_handling conf 1.00 [ERR001] Silent Exception Swallowing: Silently swallowing all exceptions hides bugs. Even in cleanup code, log at DEBUG level.
Log the error: `except Exception: logger.debug('cleanup failed', exc_info=True)`. Or handle specific exception types.
slack-gif-creator/core/frame_composer.py:310 error_handlinglegacy
medium Legacy security path_traversal conf 1.00 [SEC012] ZipSlip — Archive Path Traversal: Archive extraction without path validation allows writing files outside the target directory.
Validate extracted paths with os.path.realpath() and ensure they stay within the target directory.
skill-installer/scripts/install-skill-from-github.py:128 path_traversallegacy
high Legacy software dependency conf 0.70 Remote install command pipes network code directly to a shell
Agent helper projects often publish one-line installers. `curl | sh` style commands are convenient, but they bypass review unless the script is pinned, signed, or checksum-verified.
codebase-migrate/SKILL.md:22 dependencylegacy
low Legacy quality documentation No LICENSE file
Add a LICENSE file to your repository. Use choosealicense.com to pick the right license (MIT for permissive, Apache 2.0 for patent protection, GPL for copyleft).
documentationlegacy
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
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