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).
Install
npx skillscat add activeloopai/hivemind/harnesses-openclaw-skills-hivemind-graph Install via the SkillsCat registry.
We need to produce a 2-3 sentence plain-text summary, objective, factual, no marketing, no superlatives, no calls to action. Must be at most 60 words. Summarize skill: it queries local AST-derived code graph for structural codebase questions, automatically rebuilds after each turn, uses tools hivemind_graph_search and hivemind_graph_neighborhood. Problem solved: quickly find callers, imports, definitions, blast radius without manual indexing. When to use: when user asks structural/relational questions about code.
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.