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hivemind-graph

Query the local code graph (functions, classes, calls, imports) through the Deeplake mount at memory/graph/. Use when the user asks structural questions about the codebase — "what calls X?", "what does Y import?", "where is Z defined?", "what's the architecture / which subsystems exist?", "what's the impact of changing this?". The graph is an AST-derived map of the repo, queried as files (no build needed — it rebuilds automatically).

79

Quality

100%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

100%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A tight, well-structured skill body that gives executable tool calls, a clear sequenced workflow with a verification checkpoint, and useful guardrails without padding. It respects the context window and requires no external bundle files.

DimensionReasoningScore

Conciseness

Lean and high-signal throughout — it assumes Claude's competence, never explaining what an AST or graph is, and every section (When to use, Tools, Workflow, When NOT to use, Anti-patterns) earns its tokens with non-obvious specifics like rate-limit/git-diff gating and the HIVEMIND_GRAPH_CWD config.

3 / 3

Actionability

Provides concrete, executable tool invocations — hivemind_graph_search({ pattern }) with a real multi-token example (auth+handler) and hivemind_graph_neighborhood({ file: "src/hooks/capture.ts" }) — copy-paste-ready rather than abstract or pseudocode.

3 / 3

Workflow Clarity

A clear three-step sequence (search by pattern → neighborhood by file → read the real source via host tools) with an explicit verification checkpoint ("don't answer from the graph alone") and guardrails in Anti-patterns; no destructive/batch operation requires a validate-fix-retry loop.

3 / 3

Progressive Disclosure

A single ~54-line file with no need for external references, organized into clearly labeled sections (intro, When to use, Tools, Workflow, When NOT to use, Anti-patterns), satisfying the simple-skill allowance for a well-organized single file.

3 / 3

Total

12

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong, third-person description that clearly states what the skill does and when to use it, with concrete natural-language triggers and a distinct niche. It is concise yet specific, and uses appropriate third-person voice.

DimensionReasoningScore

Specificity

Lists multiple concrete actions and use cases — "Query the local AST-derived code graph (functions, classes, calls, imports)" with specific examples "what calls X", "what does Y import", "where is Z defined", "blast radius of a change" — matching the multi-action anchor rather than the domain-only level 2.

3 / 3

Completeness

Explicitly answers both what ("Query the local AST-derived code graph...") and when ("for structural codebase questions — what calls X...") with explicit trigger guidance, so it is not capped at 2 by the missing-trigger clause.

3 / 3

Trigger Term Quality

Covers natural phrases users actually say — "what calls X", "what does Y import", "where is Z defined", "blast radius of a change" — giving good coverage of natural structural-query terms rather than only technical jargon.

3 / 3

Distinctiveness Conflict Risk

The AST-derived code-graph niche plus named tools (hivemind_graph_search, hivemind_graph_neighborhood) give it a clear, distinct trigger set unlikely to fire for unrelated skills.

3 / 3

Total

12

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

Total

15

/

16

Passed

Repository
activeloopai/hivemind
Reviewed

Table of Contents

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