context-optimizer
context-optimizer is a Context window & token budget skill for AI agents, published by rjmurillo in the ai-agents repository on GitHub. Skillspace rates context-optimizer B (88/100) and it passed the safety scan; the rating is based on static analysis only.
Analyze skill content for optimal placement (Skill vs Passive Context vs Hybrid), compress markdown to pipe-delimited format (60-80% token reduction), and validate compliance against the decision framework. Based on Vercel research showing passive context achieves 100% pass rates vs 53-79% for skills. Use when you ask "compress this skill", "Skill vs Passive Context placement", "reduce tokens". Do NOT use for gathering knowledge before a task (use context-gather).
- Grade
- B
- Quality
- 88 / 100
- Safety
- Passed
- GitHub stars
- 38
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: it is a near-duplicate variant of another skill. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 97 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General skill vs passive context placement and compression method
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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