hivemind-graph
Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural quest…
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
Hivemind Code Graph
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). It is queried as
synthesized files under the Deeplake mount; there are no real files on disk and
no network call in the read path.
The graph builds and refreshes automatically (on Stop / SessionEnd, gated by
a rate limit + git diff). You never run a build command — just read it.
Use it as a fast INDEX to locate the few files/symbols that matter, then open
them with Read to answer. It is not a substitute for the source.
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?" → use
impact/<symbol>(transitive blast radius)
When NOT to use this skill
- Reading the body of a symbol you already located → use
Readon the real
source file. The graph gives location + relationships, not full source.
- Code that isn't committed/built yet — the graph can lag uncommitted edits.
If a file's mtime is newer than the build timestamp, read the live source.
- Languages outside TypeScript, JavaScript, and Python (Go, Rust, …) — the
extractor covers those three, with cross-file calls/imports resolved for
named imports. For anything else, fall back to grep/read.
Path cheat sheet
cat ~/.deeplake/memory/graph/index.md
# Overview: node/edge counts, kind breakdown, top files by node count.
cat ~/.deeplake/memory/graph/query/<pattern> # START HERE (the 2-in-1)
# Search + expand the top matches with their 1-hop neighbors (callers,
# callees, imports, heritage). Multi-token AND: query/<a>+<b>.
cat ~/.deeplake/memory/graph/find/<pattern>
# Case-insensitive substring search on node id + label (max 50 hits).
# Prints numbered handles [1] [2] ... saved for this worktree.
cat ~/.deeplake/memory/graph/show/<handle-or-pattern>
# <handle>: a digit from a prior find/ (e.g. 3).
# <pattern>: a substring → unique node detail, or a candidate list.
# Output: the node + its 1-hop neighbors grouped by edge relation.
cat ~/.deeplake/memory/graph/neighborhood/<file>
# Every symbol in a file + its cross-file neighbors (callers/callees/imports).
cat ~/.deeplake/memory/graph/impact/<pattern>
# Transitive dependents — the blast radius of changing a symbol.
cat ~/.deeplake/memory/graph/path/<from>/<to>
# Shortest dependency path between two symbol patterns (trace a flow across files).
cat ~/.deeplake/memory/graph/layers # architectural layers / subsystems
cat ~/.deeplake/memory/graph/tour # deterministic guided walkthrough
Workflow
- Broad? Start at
index.mdto see subsystems and the biggest files. - Looking for a symbol?
find/<name>(orquery/<name>) → pick the handle. - Want relationships?
show/<handle>/neighborhood/<file>→ callers/callees, imports. - Tracing a flow?
path/<from>/<to>. Change impact?impact/<symbol>. - Need the actual code? Take the
source_file:lineandReadit — don't answer from the graph alone.
Anti-patterns (read these)
- "Incoming (0)" does NOT mean dead code. Cross-file
callsare resolved for
named imports (TS/JS/Python), but instance-method dispatch (obj.method()),
dynamic calls, and nested/inner functions are NOT — a zero-incoming symbol may
still be reached via one of those. Confirm in the source before calling it unused.
- The graph can be stale. It rebuilds at most once per rate-limit window. The
SessionStart inject prints the build age; if it's old or you've just edited a
file, prefer the live source for that file.
- Don't try to build it. There is no user-facing build step in normal use;
the hooks handle it. Just read the mount.
find/is lexical, not semantic. It matches substrings, not meaning —
find/auth won't surface login/credentials unless those strings appear in
the id/label. Try multiple keywords if the first misses.
想直接用这个技能?
本站把开放许可(MIT / Apache 等)的技能按仓库打包整理到网盘,点一下转存到你自己的网盘,不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接,不打包。
同名技能的其他版本
有 4 个不同仓库或目录里都有叫 hivemind-graph 的技能。它们内容并不相同,别混用:
- activeloopai/hivemind — Query the local code graph (functions, classes, calls, imports) through the Deeplake mount
- activeloopai/hivemind — Query the local code graph (functions, classes, calls, imports) through the Deeplake mount
- activeloopai/hivemind — Query the local AST-derived code graph (functions, classes, calls, imports) for structural