rlm-debugging
rlm-debugging is a Runtime diagnostics & profiling skill for AI agents, published by apenab in the pyrlm-runtime repository on GitHub. Skillspace rates rlm-debugging D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Debug and diagnose RLM execution issues using the Trace system, REPL inspection, and policy analysis. Use when an RLM run produces incorrect results, hits policy limits, loops unexpectedly, or needs performance optimization.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 33
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
- 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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