Skill audit report
The compiler from ARR-SPEC to any generation backend (编译层). One compiler, many backends - the backend differences live in backends.yaml as data, never as separate skills. Covers the compile order, section-tag mapping, turning structured fields into prose style prompts without losing information, lyric chunking, the honors contract that decides which fields are scorable, degradation strategy when a backend cannot execute a field, seeds and best-of-N, and what to hand over so the user can run it in whatever tool hosts the backend. Use when turning a finished ARR-SPEC into Suno / YuE2 / MiniMax / ACE-Step / symbolic output, when choosing a backend, when a generation ignored the spec, or when adding a new backend. 编译、后端、Suno、YuE2、MiniMax、ACE-Step、提示词生成、段落标签、honors。
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
100 GitHub stars
Stars/forks activity
WARN51
100 stars, 8 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
4d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
PASS82
network or browser surface
Install availability
PASS92
npx skills add jtydhr88/music-composition-skills --skill mc-render-compile
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
network or browser access
Repository evidence
PASS86
https://github.com/jtydhr88/music-composition-skills/tree/main/plugins/music-composition/skills/mc-render-compile
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add jtydhr88/music-composition-skills --skill mc-render-compile
Repository
88
https://github.com/jtydhr88/music-composition-skills/tree/main/plugins/music-composition/skills/mc-render-compile
License
86
MIT
Maintenance
100
4d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
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
82
network or browser surface
Install command safety
92
standard package or runtime install path
Permission surface
86
network or browser access
Stars/forks activity
51
100 stars, 8 forks; issue activity unavailable in current metadata
Adoption
68
100 GitHub stars
Agent safety v2
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
Browser automation
mediumSkill may drive a browser or interact with web pages.
Network access
mediumSkill likely fetches remote pages, APIs, repositories, or external services.