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SKILL verified MIT Self-run

Agent Readiness

skill-wakqasahmed-agentic-commerce-skills-agent-readiness · by wakqasahmed

Check whether AI agents can discover, read, cite, and safely act on an ecommerce storefront. Use for agentic commerce readiness reviews.

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Install

$ agentstack add skill-wakqasahmed-agentic-commerce-skills-agent-readiness

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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● 2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Agent Readiness

Workflow

  1. Confirm crawl access and public URL quality.
  2. Check product/category/policy readability without client-side-only traps.
  3. Check structured product data, variants, availability, price, and policy context.
  4. Check whether support and checkout actions are clearly bounded.
  5. Identify missing agent-facing affordances such as sitemap, llms.txt, markdown-friendly content, or API/protocol paths.

Run the checks with the commands in references/checks.md and cite command output as evidence for each finding.

Delegation

  • Access-file depth (robots, sitemap, llms.txt) → llms-txt-and-crawler-access.
  • Structured-data depth → schema-markup-audit from the ai-visibility pack.
  • Scoring and routing the whole store → readiness-audit; this skill feeds its agent-access dimension.

Guardrails

  • Separate read readiness from action readiness.
  • See ../references/guardrails.md for shared cross-skill guardrails (autonomous action safety, evidence provenance, internal runtime disclosure).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.

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