audio-diagnostician
audio-diagnostician is an Audio, music & podcasts skill for AI agents, published by fadelabs in the phantom repository on GitHub. Skillspace rates audio-diagnostician D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Pre-mix audio analysis and problem detection for audio engineering. Runs Phantom MCP diagnostic tools on stems, catalogs issues by severity (dealbreaker/significant/moderate/minor), identifies frequency masking between stems, and produces a structured mix brief. Use this skill whenever the user wants to analyze audio stems or files before mixing, diagnose audio problems (phase issues, clipping, noise, hum, mud, harshness), assess recording quality, prepare a mix session overview, check if a mix is ready for mastering, or investigate why something "sounds wrong." Also use when the user provides WAV file paths and asks for analysis, quality checks, or problem identification -- even if they don't explicitly mention "diagnostics."
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 20
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 79 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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