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hivemind-graph

Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what calls X, what does Y import, where is Z defined, blast radius of a change. The graph rebuilds automatically after each agent turn; use hivemind_graph_search and hivemind_graph_neighborhood tools (no manual build step).

Quellinformationen

Repository
activeloopai/hivemind
Letzte Quellaktivität
1. Juli 2026 um 12:37
Erkannte Sprache von SKILL.md
Englisch
Sterne
1.641
Forks
111

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
hivemind-graph
description
Query the local AST-derived code graph (functions, classes, calls, imports) for structural codebase questions — what calls X, what does Y import, where is Z defined, blast radius of a change. The graph rebuilds automatically after each agent turn; use hivemind_graph_search and hivemind_graph_neighborhood tools (no manual build step).
allowed-tools
hivemind_graph_search, hivemind_graph_neighborhood
# Hivemind Code Graph (OpenClaw) A deterministic, AST-derived map of the current repository — every function, class, method, interface, type, enum, const, and module, plus the edges between them (`calls`, `imports`, `extends`, `implements`, `method_of`). The graph **builds and refreshes automatically** after each turn (gated by rate limit + git diff). You never run a build command — just call the graph tools. Set `plugins.entries.hivemind.config.tuning.HIVEMIND_GRAPH_CWD` in `~/.openclaw/openclaw.json` to the git root of the project you want indexed when the gateway's working directory is not the repo (then restart the gateway). Use the graph as a fast **INDEX** to locate the few files/symbols that matter, then use the host's read/exec tools on the real source. It is not a substitute for reading source files. ## When to use this skill Activate when the user asks a *structural / relational* question about the code: - "What calls `pushSnapshot`?" / "Who uses this function?" - "What does `deeplake-pull.ts` import?" / "What depends on X?" - "Where is `GraphSnapshot` defined?" / "Find the function that handles Y." - "What are the main subsystems / the architecture here?" - "If I change this signature, what's affected?" ## Tools - `hivemind_graph_search({ pattern })` — search symbols by substring (or multi-token AND with `+`, e.g. `auth+handler`). Returns matches with 1-hop neighbors (callers, callees, imports). **Start here.** - `hivemind_graph_neighborhood({ file })` — every symbol in a repo-relative file path plus its cross-file neighbors. ## Workflow 1. Broad structural question? `hivemind_graph_search({ pattern: "<symbol>" })`. 2. Know the file? `hivemind_graph_neighborhood({ file: "src/hooks/capture.ts" })`. 3. Need the actual code? Open the `source_file:line` from the tool output with the host read tool — don't answer from the graph alone. ## When NOT to use this skill - Reading the **body** of a symbol you already located → use the host read tool. - Code that isn't **committed/built** yet — the graph can lag uncommitted edits. - Languages outside **TypeScript, JavaScript, and Python** — fall back to grep. ## Anti-patterns - **Zero incoming callers does NOT mean dead code.** Instance-method dispatch and dynamic calls are not fully resolved. - **The graph can be stale.** Prefer live source for files edited in this session. - **`pattern` is lexical, not semantic** — try multiple keywords if the first misses.
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