etanhey/plan-validate
skills/golem-powers/plan-validate/SKILL.md
Extract and validate assumptions from multi-agent sprint plans. Generates research prompts, flags unverified claims, rewrites plan. Triggers on: 'validate plan', 'check assumptions', 'plan-validate'. NOT for: single-task plans (overkill), runtime debugging, or code review.
$ install --global
skillsauthnpx skillsauth add etanhey/golems plan-validateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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SemgrepStatic code analysis for vulnerabilities
95%
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mcp-scan (Snyk)Model Context Protocol security validation
95%
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Snyk (dep)Open source security scanning
50%
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Socket.devSupply chain security analysis
50%
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VirusTotalMulti-engine malware detection
50%
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CrowdStrikeAdvanced threat intelligence
50%
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OWASP Dep-Check
50%
Last scanned: Apr 17, 2026, 12:15 PM14.2s2 files scanned
SKILL.md
- name:
- plan-validate
- description:
- Extract and validate assumptions from multi-agent sprint plans. Generates research prompts, flags unverified claims, rewrites plan. Triggers on: 'validate plan', 'check assumptions', 'plan-validate'. NOT for: single-task plans (overkill), runtime debugging, or code review.
Plan Validation
Invoke BEFORE executing any multi-agent sprint. This skill saved the March 26 overnight sprint — v1→v3 killed 7 phantom assumptions that would have wasted all work.
Process
Phase 1: Extract Claims
Read the plan and extract every:
- Quantitative claim — numbers, thresholds, percentages, durations
- Tool/library assumption — "we'll use X" (does X exist? does it work how we think?)
- Cross-dependency assumption — "Track A output feeds Track B" (is that interface defined?)
- Metric definition — "measure X" (is X a real metric? can we actually compute it?)
Mark each as:
VERIFIED (source: URL/file/brain_search)— confirmed trueESTIMATED (needs: research prompt)— plausible but unverifiedPHANTOM (evidence: none)— made up, likely wrong
Phase 2: Generate Research Prompts
For each ESTIMATED or PHANTOM claim, generate a research prompt:
Research: Is [claim] true?
Sources to check: [specific URLs, papers, docs]
Expected answer format: [yes/no with evidence]
Phase 3: Execute Research (parallel)
Dispatch research prompts to (fallback order if tool unavailable):
brain_search— has this been answered before?exa web_search— external validation- Claude Web / Gemini — for academic claims
If a research tool is unavailable, skip it and proceed with remaining tools. Mark claims as ESTIMATED (not VERIFIED) if only one source confirms.
Phase 4: Rewrite Plan
For each claim:
- VERIFIED → keep, add source citation
- ESTIMATED → keep with caveat, downgrade acceptance criteria
- PHANTOM → remove or replace with verified alternative
Phase 5: Diff Report
Output a before/after diff showing:
- Claims removed (phantoms killed)
- Claims downgraded (estimated → caveated)
- New claims added (from research findings)
Example (from March 26 overnight)
PHANTOM killed: "PIER = Perceptual Information Error Rate" → actually "Point-of-Interest Error Rate" (code-switching only). Worker would have built wrong eval.
PHANTOM killed: "+15pp delta = GREEN threshold" → SkillsBench shows +4.5pp to +51.9pp range. No single threshold works. Worker would have failed all evals.
PHANTOM killed: "Meta-prompting improves code generation" → code-first-then-explain outperforms by 9.86%. Would have used wrong prompting strategy.
NEVER
- Skip this for overnight/multi-agent sprints
- Trust quantitative claims without source citations
- Proceed with PHANTOM claims — kill them or verify them
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