rlm
rlm is a Context window & token budget skill for AI agents, published by Lets7512 in the rlm-skill repository on GitHub. Skillspace rates rlm D (64/100) and it passed the safety scan; the rating is based on static analysis only.
Recursive Language Model (RLM) pattern for processing large contexts. Use when dealing with massive files, logs, repos, or data that exceeds context windows. Trigger phrases: "analyze large file", "process huge log", "scan entire repo", "recursive context", "RLM", "context compilation", "unbounded context", "too big for context".
- Grade
- D
- Quality
- 64 / 100
- Safety
- Passed
- GitHub stars
- 23
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
- 100 / 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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