Openmind code graphs

Skill HelloThisWorld/agent-skill-verification-template/skills/openmind-code-graphs

Answer code-structure questions (definition sites, usage sites) from Open Mind's deterministic structure map — real defs, imports and call sites recovered from the corpus code, never invented nodes or edges. Runs Open Mind's real Python implementation through the skill bridge.From its SKILL.md

Install

npx -y skills add HelloThisWorld/agent-skill-verification-template --skill openmind-code-graphs

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.2 KB, 220 tokens by cl100k_base, as published. Nobody here has run it

openmind-code-graphs

This skill is the eval-harness face of Open Mind's code-graphs capability (https://github.com/HelloThisWorld/open-mind, skills/code-graphs/SKILL.md). Answers come from Open Mind's actual structure analysis (openmind/structure.py: build_structure, get_definition, term_usage), reached through openmind/skill_bridge.py.

Behavior under contract

Recovered, never generated — definition sites and usage edges come from line-oriented static analysis of the corpus's real code.
Source locations everywhere — a definition claim cites the actual file:line of the def/class statement, re-verified on every run.
Honest absence — a symbol not defined in the corpus returns insufficient_evidence with zero claims; usage lists only files that truly reference the symbol.

Question forms

where is <symbol> defined · who uses <symbol>

What ships with it: 3 files

4.0 KB alongside SKILL.md