Skill audit report
CTCDecoder audit report.
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, and installability.
The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
836 GitHub stars
Recent maintenance
INFO76
5mo since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO72
credential or environment access
Install availability
PASS92
npx skills add githubharald/CTCDecoder
Repository evidence
PASS86
https://github.com/githubharald/CTCDecoder
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add githubharald/CTCDecoder
Repository
88
https://github.com/githubharald/CTCDecoder
License
86
MIT
Maintenance
76
5mo since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
72
credential or environment access
Adoption
88
836 GitHub stars
Warnings
- Quality score needs review
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
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