Dossier Collect

Research

dossier-collect

Dossier Collect is an Agent Skill for research published in the ruvnet/ruflo repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Build a graph-structured dossier on a seed entity via parallel fan-out + recursive expansion across web, memory, knowledge-graph, codebase, ADR index, and git intel

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How to use this skill

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Prompt to paste

Inspect the Agent Skill at https://github.com/ruvnet/ruflo/blob/HEAD/plugins/ruflo-goals/skills/dossier-collect/SKILL.md and all supporting files. Report provenance, permissions, scripts, dependencies, and security risks. Propose an exact installation into .agents/skills/dossier-collect, but wait for my approval before writing files or running scripts.

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Dossier Collect

Recursive parallel investigation that builds a graph-structured dossier on a seed entity.

When to use

You have a seed (a username, file, symbol, ADR-id, URL, or concept) and want to expand outward discovering every connected entity, with provenance per claim — rather than answering a specific question.

For specific questions use deep-research. For multi-step plans use goal-plan.

Steps

Detect seed type — classify as one of: username (handle), file (path), symbol (code identifier), adr (ADR-NNN), url, or concept (free text).
Pick sources — match the source matrix to the seed type. Default: all applicable.
Start trajectory — call mcp__claude-flow__hooks_intelligence_trajectory-start with task dossier:<slug>.
Round 0 fan-out — issue ALL source queries in ONE message. Examples:
- For username: WebSearch, WebFetch on github.com/, mcp__claude-flow__memory_search_unified
- For adr: Read ADR file, Grep references, mcp__claude-flow__memory_search namespace adr
- For symbol: Grep, Glob, mcp__claude-flow__embeddings_search
Extract entities — from each hit, surface entities (people, repos, files, adrs, urls, terms). Lightweight regex + heuristics; no LLM extraction unless ambiguous.
De-dup — drop entities already in the dossier. If --exact is unset, also drop entities whose embedding cosine similarity ≥ 0.92 to an existing node.
Round k recursion — for each new entity (capped at --max-breadth per source), recurse to step 4 until depth ≥ --max-depth OR budget exhausted.
Aggregate — build { nodes, edges } graph. Each node carries { id, type, attrs, sources: [...] }. Each edge carries { from, to, kind, source, confidence }.
Render artifacts:
- <slug>.md — executive summary, entity table, mermaid graph, source-provenance footnotes
- <slug>.json — machine-readable graph
- Default location: v3/docs/examples/dossiers/<slug>/
Persist — mcp__claude-flow__memory_store namespace dossier key <slug>.
End trajectory — mcp__claude-flow__hooks_intelligence_trajectory-end with success status.

Output schema (JSON)

{
  "seed": "ruvnet",
  "seedType": "username",
  "depth": 2,
  "truncated": false,
  "generatedAt": "ISO-8601",
  "nodes": [
    { "id": "ruvnet", "type": "username", "attrs": { "...": "..." }, "sources": ["WebSearch", "github.com"] }
  ],
  "edges": [
    { "from": "ruvnet", "to": "ruflo", "kind": "owns", "source": "github.com", "confidence": "high" }
  ],
  "stats": { "nodesByType": {}, "sourcesUsed": [], "tokensSpent": 0 }
}

Budget discipline

If --budget-usd is set, track approximate cost via trajectory. On exhaustion: emit partial dossier with truncated: true and the entities still queued.
BFS expansion only — finish round k before round k+1.
Never silently truncate. Always mark and record what was skipped.

Examples

/ruflo-goals:dossier-collect ruvnet
/ruflo-goals:dossier-collect ADR-097 --max-depth 1
/ruflo-goals:dossier-collect "src/memory/hnsw.ts" --sources codebase,git,memory
/ruflo-goals:dossier-collect "ruflo-goals" --max-breadth 5 --budget-usd 1