token-coach
token-coach is a Context window & token budget skill for AI agents, published by alexgreensh in the token-optimizer repository on GitHub. Skillspace rates token-coach D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Context window coach analyzing setup overhead, historical usage trends, and session habits. Use when building something new and wanting token efficiency from the start, existing sessions feel sluggish or context fills too fast, designing multi-agent systems, or wanting a quick health check with real numbers. Do NOT use for running the full audit and applying fixes (use /token-optimizer instead).
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 1,655
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General agent context and token-efficiency coaching for any setup
What the scanner flagged
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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