mastermind-codegraph-research

A repository-research guide for Mastermind, a code-analysis system that maps symbols, callers, imports, and dependencies.

In plain words
What is it for?
Use it to orient yourself in a repository, find symbols and their callers, trace dependencies, check whether files exist, and handle outdated indexes.
Why use it?
It helps an agent investigate a codebase with structural evidence instead of guessing names or relying only on text searches.

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/xcrft/mastermind/mastermind-codegraph-research
Any agent
npx skills add xcrft/mastermind --skill mastermind-codegraph-research
Clone the repo
git clone --depth 1 https://github.com/xcrft/mastermind

Made for: Claude Code, Codex.

Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,247 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 $0.00045 $0.01247
Opus 5 $0.00023 $0.00624
Sonnet 5 $0.00009 $0.00249
Haiku 4.5 $0.00005 $0.00125

Measured 2d ago against content hash 5bdf75ed9da8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mastermind-codegraph-research 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 2d ago.

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/workflow/mastermind-codegraph-research/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codegraph research — discover structure with mmcg

The shared structural discovery layer for Mastermind. Claims about symbol existence, indexed callers, imports, and bounded blast radius come from a fresh mmcg result rather than memory. Exact source contracts and runtime behavior come from source reads and tests.

The graph is syntactic evidence: name resolution, dynamic dispatch, reflection, generated code, re-exports, and cross-language edges can reduce precision.

Never name a symbol, file, caller, or blast radius from memory. "I think X exists" is not evidence; mmcg_search X returning a hit is. A spec, audit, or critique built on a guessed symbol fails at the first step that touches real code.

Structural vs literal

  • Bounded orientation (relevant changes, symbols, callers, tests, and history for a role) → one mmcg_brief before broad discovery.
  • Concept discovery (the intent is known but the exact symbol is not) → mmcg_concept, then an exact structural query on the selected candidate.
  • Structural discovery (symbols, indexed callers/callees, imports, bounded blast radius) → mmcg first. It understands syntax better than literal text search, but remains name-based and bounded.
  • Literal (string contents, log messages, comments, config values) → Grep / Read. mmcg doesn't index strings.
  • Runtime contract (dynamic dispatch, reflection, generated code, re-exports, cross-language edges, exact branch behavior) → read source and run focused tests.

Query decision table

Question Tool
What bounded context does this planner/executor/auditor need? mmcg_brief
Which local symbols match this natural-language concept? mmcg_concept
Does symbol X exist? (get file:line + signature) mmcg_search
What calls X? mmcg_callers
What does X call? mmcg_callees
If I change/rename X, what breaks? (transitive) mmcg_impact
What does file Y import? mmcg_imports
Who imports X / this path? mmcg_imported_by
Does this file path exist in the index? mmcg_files
Is the index ready / how stale is it? mmcg_status
String contents / comments / log lines Grep
File-name / extension globs Glob

Read the full file on GitHub · 104 lines

Files

What ships with it

1 file 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. 2d ago First seen · 104 lines · 45 tokens per session scan A 5bdf75ed9da8

Subscribe to this mod's changes

mastermind-codegraph-research is a skill published in the GitHub repository xcrft/mastermind (11 stars, last pushed 7d ago), licensed MIT. It adds 45 tokens to every session and 1,247 once invoked, about $0.0002 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 2026-08-30.

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