Skill audit report
Step 1 of the AI Video Editor pipeline — turn raw talking-head footage into a clean master cut. Use when the user wants to "clean cut", "cut the raw footage", "remove filler / dead air / bad takes", "tighten the pacing", produce cuts.json, run the cut editor, or render a cleaned preview/master for a video-N project in this repo. Covers audio extraction, AssemblyAI transcription, authoring cuts.json (keeps/cuts/fluff categorized), the cut policy (content-aggressive, pause-natural ~0.5s), QA + review docs, the local cut-editor UI, tight/natural previews, the final 4K60 render, and producing edited-transcript.json as the handoff to /make-tsx. Not for building TSX overlays (that is /make-tsx) or the raw TSX authoring rules (that is vidtsx-2d-generator).
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
290 GitHub stars
Stars/forks activity
INFO62
290 stars, 110 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
25d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
INFO76
Public metadata needs stronger README/SKILL.md context
Dependency/runtime risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add hassancs91/claude-youtube-editor --skill clean-cut
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL34
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/hassancs91/claude-youtube-editor/tree/main/.claude/skills/clean-cut
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add hassancs91/claude-youtube-editor --skill clean-cut
Repository
88
https://github.com/hassancs91/claude-youtube-editor/tree/main/.claude/skills/clean-cut
License
86
MIT
Maintenance
100
25d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
84
Warnings
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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Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
34
secrets or environment access, filesystem or document access
Stars/forks activity
62
290 stars, 110 forks; issue activity unavailable in current metadata
Adoption
68
290 GitHub stars
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.
Filesystem access
mediumSkill may read or write project files, documents, generated artifacts, or local workspace state.
Secrets or environment access
highSkill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
Database access
mediumSkill may inspect schemas, query databases, or work with persistent stores.