trace-mcp

trace-mcp is a Codebase mapping & onboarding skill for AI agents, published by nikolai-vysotskyi in the trace-mcp repository on GitHub. Skillspace rates trace-mcp D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Use trace-mcp tools for code navigation, impact analysis, and framework-aware queries instead of Read/Grep/Glob/Bash. Activate whenever the agent needs to explore, understand, or modify a codebase that has trace-mcp indexed.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
94

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.

View source on GitHubnikolai-vysotskyi/trace-mcp

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

Better-rated skills in Codebase mapping & onboarding

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.