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SKILL verified MIT Self-run

Ecom Catalogue Reporting

skill-ohikava-ecom-agent-ecom-catalogue-reporting · by ohikava

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Install

$ agentstack add skill-ohikava-ecom-agent-ecom-catalogue-reporting

✓ 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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[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-ohikava-ecom-agent-ecom-catalogue-reporting)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo 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 →
Are you the author of Ecom Catalogue Reporting? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
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About

Trigger

User asks "How many {product_kind} products should I report today?" or similar catalogue-count reporting questions.

Procedure

  1. Note the current date from /bin/date or ecom_context().
  2. Scan /docs/catalogue-addenda/ (primary) and /docs/policy-updates/ for a

dated doc matching today's date AND the mentioned product kind. Read it tracked via ecom_read.

  1. The policy doc specifies:
  • product_kind_id to query
  • Store scope (city, open-status filter)
  • Inventory filter (available_today_quantity > 0)
  • Counting rule (distinct SKUs once across stores)
  1. Query the SQL schema: SELECT name, sql FROM sqlite_schema WHERE sql IS NOT NULL.
  2. Find stores matching the city: SELECT store_id FROM stores WHERE city = '...' AND is_open = 1.
  3. Count distinct SKUs: SELECT COUNT(DISTINCT pv.product_sku) FROM product_variants pv JOIN store_inventory si ON pv.product_sku = si.product_sku WHERE pv.product_kind_id = '...' AND si.store_id IN (...) AND si.available_today_quantity > 0.
  4. ecom_read the store JSON (tracked) — store questions require store refs.
  5. Answer in the requested format.

Pitfalls

  • Must use the product_kind_id from the policy doc, not guess from the name string.
  • Always check is_open on stores.
  • Use COUNT(DISTINCT ...) to deduplicate across stores.
  • Dated policy docs are per-date; a different day may have a different doc or none.

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.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.