openmind-code-graphs

A code-structure lookup tool that finds where symbols are defined and where they are used, based on the actual source code.

In plain words
What is it for?
Use it to locate a class or function, find its imports and call sites, and get verified file-and-line references.
Why use it?
It helps answer codebase questions without making up files, definitions, or relationships.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/hellothisworld/agent-skill-verification-template/openmind-code-graphs
Any agent
npx skills add HelloThisWorld/agent-skill-verification-template --skill openmind-code-graphs
Clone the repo
git clone --depth 1 https://github.com/HelloThisWorld/agent-skill-verification-template

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 283 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00057 $0.00283
Opus 5 $0.00028 $0.00142
Sonnet 5 $0.00011 $0.00057
Haiku 4.5 $0.00006 $0.00028

Measured yesterday against content hash 9021efa6a4b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

openmind-code-graphs scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/openmind-code-graphs/SKILL.md · 27 lines

What it actually says

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>

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 27 lines · 57 tokens per session scan A 9021efa6a4b4

Subscribe to this mod's changes

openmind-code-graphs is a skill published in the GitHub repository HelloThisWorld/agent-skill-verification-template (1 stars, last pushed 9d ago), licensed MIT. It adds 57 tokens to every session and 283 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.