erm
erm is an Audio, music & podcasts skill for AI agents, published by dougcalobrisi in the erm repository on GitHub. Skillspace rates erm D (59/100) and it passed the safety scan; the rating is based on static analysis only.
Install and run erm, the local CLI that removes filler words / disfluencies (um, uh, er, erm, ah, hmm, mhm, mm, uh-huh and elongations) from spoken-audio recordings. Use when the user wants to install or set up erm, clean up a recording/podcast/voiceover, strip "ums" and "uhs" from audio, or asks which erm command to run. For fixing imperfect output or adjusting knobs, use the erm-tune skill instead.
- Grade
- D
- Quality
- 59 / 100
- Safety
- Passed
- GitHub stars
- 110
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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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