okf-impact

name	okf-impact
description	Compute the transitive impact (blast radius / ripple) of changing a concept in an OKF bundle. Use when the user asks what depends on a concept, what breaks if something changes, needs a ranked update list, or wants blast-radius / ripple analysis before editing agents, workflows, or knowledge nodes.

OKF Impact Analysis

Goal

Given a concept ID/path (or a proposed change), return the full affected subgraph plus a practical update order.

Process

1. Resolve the target concept (relative path, absolute path, title, or ID). Locate the bundle root (.okf/, knowledge/, sample-okf/).
2. Use deterministic tools first:
   • Prefer okf graph <bundle>, okf backlinks, or equivalent okfcli commands.
   • Fallback:

     python3 "${CLAUDE_PLUGIN_ROOT}/scripts/okf-graph.py" impact <bundle> <concept>
     python3 "${CLAUDE_PLUGIN_ROOT}/scripts/okf-graph.py" edges <bundle> --from <concept>
     

3. Build both:
   • Outbound closure — what the concept depends on / routes to
   • Inbound closure — who cites / depends on / routes through it
   • Direct typed edges — direct_edges in impact JSON (routes_to, depends_on, …)
4. Classify nodes by type and trust/lifecycle (verified, status, stale_after).
5. Produce two outputs:
   • Human report — ranked list (critical → low), with reasons and suggested actions
   • Structured JSON (optional): { target, inbound, outbound, direct_edges, suggested_order }

Ranking heuristics

Signal	Effect on rank
Type AgentNode, Workflow, Harness, SharedState	Higher impact
verified: false on high-type nodes	Escalate to critical
status: deprecated	Flag for cleanup, lower urgency for feature work
Shallow hop depth with many dependents	Higher priority
Leaf knowledge nodes	Usually lower

Report template

# Impact: <title> (`<path>`)

## Summary
- Inbound dependents: N
- Outbound dependencies: M
- Critical / unverified highlights: ...

## Ranked dependents (update order)
1. **[Name](path)** — type, why it matters, suggested action
2. ...

## Outbound dependencies to review
- ...

## Recommended next steps
- [ ] ...

Rules

• Never invent links. Only report edges found by tools or careful Markdown crawl.
• If graph tools are unavailable, state the limitation and use link crawl.
• Prefer high-trust paths when ranking recommendations.
• After structural edits, re-run impact on the same target.

Related

• Progressive disclosure packs: use okf-query / okf-graph.py subgraph
• Validation before big refactors: okf-validate