Hivemind graph
Skill activeloopai/hivemind/harnesses/openclaw/skills/hivemind-graph
Hivemind turns your traces into reusable skills across agents
npx -y skills add activeloopai/hivemind --skill hivemind-graphAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
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).
SKILL.md
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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.tsimport?" / "What depends on X?" - "Where is
GraphSnapshotdefined?" / "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
- Broad structural question?
hivemind_graph_search({ pattern: "<symbol>" }). - Know the file?
hivemind_graph_neighborhood({ file: "src/hooks/capture.ts" }). - Need the actual code? Open the
source_file:linefrom 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.
patternis lexical, not semantic — try multiple keywords if the first misses.