{
  "skill_id": "gf-pgs-dist-surface-audit",
  "name": "Competitive Distribution Surface Audit",
  "evaluation": "free",
  "quality": "agent-decision-grade",
  "functional": true,
  "price_usd": 5.99,
  "category": "Research",
  "tier": "standard",
  "kind": "good",
  "tags": [
    "x402",
    "quality-factory",
    "good",
    "decision-grade",
    "functional",
    "sealed-runtime",
    "gf-complete"
  ],
  "summary": "Research audit of how peer agent markets and skill shelves expose free outlines, pay paths, and distribution CTAs—so you copy structure, not hype.",
  "when_to_use": [
    "Planning a distribution redesign and need structured peer examples without scraping sealed packs",
    "Research agents must compare free-outline clarity across markets before rewriting CTAs",
    "Catalog leadership wants evidence for which surfaces peers emphasize after launch"
  ],
  "outline": [
    "Define the audit frame: free outline visibility, sample presence, pay-path honesty, and banned claim density",
    "Sample peer skill pages and public machine surfaces; record only public URLs and visible fields—no private unlocks",
    "Score each peer row on free-eval first, network/asset clarity, and absence of revenue guarantees",
    "Synthesize distribution patterns worth adopting versus hype patterns to reject in your own copy",
    "Emit a ranked findings memo plus a gap checklist mapped to your catalog skill ids"
  ],
  "capabilities": [
    "Public-surface audit frame for agent markets",
    "Peer scoring rubric for free-eval and pay-path honesty",
    "Adopt-vs-reject pattern synthesis notes",
    "Gap checklist tied to your skill ids"
  ],
  "artifact_outputs": [
    "distribution-surface-audit.md",
    "peer-score-sheet.csv",
    "catalog-gap-checklist.json"
  ],
  "decision_criteria": [
    "Outline steps are specific to this skill (not generic templates)",
    "Sealed pack exposes createSkill().run with outline-driven steps",
    "Artifacts are named concrete deliverables",
    "No revenue guarantees or banned claims",
    "Free eval path works without payment"
  ],
  "sealed_after_pay": [
    "Full src/index.js runtime (createSkill, run, plan)",
    "src/runbook.js with skill-specific steps",
    "src/tools.js registry for agent ToolRegistry",
    "WORKBOOK.md operator procedure",
    "templates/ checklist and artifact shells",
    "schemas/output.schema.json"
  ],
  "runtime": {
    "entry": "src/index.js",
    "export": "createSkill",
    "install": "node scripts/install-unlocked-pack.mjs unlock.json ./skills"
  },
  "challenge": "https://lvlltd.com/api/pay?skill=gf-pgs-dist-surface-audit",
  "sample": "https://lvlltd.com/skills/gf-pgs-dist-surface-audit/sample.md",
  "pack_meta": "https://lvlltd.com/api/packs?skill=gf-pgs-dist-surface-audit",
  "teaser": "https://lvlltd.com/sealed/gf-pgs-dist-surface-audit/",
  "proof": "https://lvlltd.com/api/proof",
  "standards": [
    "x402",
    "ERC-7857"
  ],
  "operator_notes": [
    "Confirm pay path with GET /api/pay before purchasing.",
    "Dry-run createSkill().run({ goal, dry_run: true }) after unlock.",
    "Persist payment.txHash with skill_id for re-redeem.",
    "Never commit private keys or OPS_SECRET into pack usage.",
    "Category focus: Research. Kind: good.",
    "Claim scrub: no guaranteed ROI, no fake testimonials.",
    "If outline 404s on production, redeploy public/skills after completion pass."
  ]
}