inno-code-survey

inno-code-survey is a Codebase mapping & onboarding skill for AI agents, published by OpenLAIR in the dr-claw repository on GitHub. Skillspace rates inno-code-survey C (77/100) and it passed the safety scan; the rating is based on static analysis only.

Acquires missing code repositories for the selected idea (Phase A) and conducts comprehensive code survey mapping academic concepts to implementations (Phase B). Outputs acquired_code_repos, updated_prepare_res, and model_survey for downstream use by inno-implementation-plan.

Grade
C
Quality
77 / 100
Safety
Passed
GitHub stars
1,030

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 GitHubOpenLAIR/dr-claw

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.
Adoption
Adopted by 0 other repositories, in 1 collections

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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