Skill audit report
Use dspy.RLM (Recursive Language Model) for reasoning over contexts too large to fit in an LLM's working window — entire codebases, long logs, massive documents, or multi-step data exploration that needs a sandboxed Python REPL. Use when the input is >100k tokens, needs recursive chunking, or benefits from the LLM writing and running code to probe data.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
277 GitHub stars
Stars/forks activity
WARN57
277 stars, 24 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
3d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, credential or environment access
Install availability
PASS92
npx skills add intertwine/dspy-agent-skills --skill dspy-rlm-module
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/intertwine/dspy-agent-skills/tree/main/skills/dspy-rlm-module
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add intertwine/dspy-agent-skills --skill dspy-rlm-module
Repository
88
https://github.com/intertwine/dspy-agent-skills/tree/main/skills/dspy-rlm-module
License
86
MIT
Maintenance
100
3d since push
AI review
55
The SKILL.md excerpt appears to be truncated at the 'Anti-patterns' section; ensure the full document is present in the repository.
README/SKILL.md completeness
86
Usable description available
Dependency risk
54
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
57
277 stars, 24 forks; issue activity unavailable in current metadata
Adoption
68
277 GitHub stars
Warnings
Method
This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.
Compare nearby options
Apache ECharts is a powerful, interactive charting and data visualization library for browser
67K Stars · Audit report
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
113K Stars · Audit report
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
33K Stars · Audit report