Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add kgelster/awesome-ecom-skills --skill shopify-catalog-cleanupgit clone --depth 1 https://github.com/kgelster/awesome-ecom-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/kgelster/awesome-ecom-skills/shopify-catalog-cleanup)<a href="https://agentmods.dev/skills/kgelster/awesome-ecom-skills/shopify-catalog-cleanup"><img src="https://agentmods.dev/badge/skills/kgelster/awesome-ecom-skills/shopify-catalog-cleanup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/kgelster/awesome-ecom-skills/shopify-catalog-cleanup"><img src="https://agentmods.dev/badge/skills/kgelster/awesome-ecom-skills/shopify-catalog-cleanup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 4 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 30 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 35 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 90 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 39 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00151 | $0.02468 |
| Opus 5 | $0.00076 | $0.01234 |
| Sonnet 5 | $0.00030 | $0.00494 |
| Haiku 4.5 | $0.00015 | $0.00247 |
Grade A, and why
shopify-catalog-cleanup scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "https://$SHOPIFY_STORE/admin/api/2025-07/graphql.json" \ How it starts
The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shopify Catalog Cleanup
Fixing the debris an audit found. This is the mutating counterpart to
shopify-catalog-audit (which finds problems) and shopify-seo-metadata (which
fills missing metadata). Everything here writes to the catalog, so the whole
skill is built around one rule: preview the count, then mutate.
Store access
Lane A: custom-app token (scriptable). In Shopify admin: Settings → Apps
and sales channels → Develop apps → create an app → grant read_products and
write_products, install, copy the Admin API access token. Export it; never
write it to a committed file:
export SHOPIFY_STORE="your-store.myshopify.com"
export SHOPIFY_ACCESS_TOKEN="<your Admin API access token>" # env, not disk
curl -s "https://$SHOPIFY_STORE/admin/api/2025-07/graphql.json" \
-H "X-Shopify-Access-Token: $SHOPIFY_ACCESS_TOKEN" \
-H "Content-Type: application/json" \
-d '{"query":"{ shop { name } }"}'
Lane B: Shopify CLI OAuth (no stored token). shopify store auth --store $SHOPIFY_STORE --scopes read_products,write_products then shopify store execute. Good for token-less stores where the owner logs in interactively.
Toolkit preflight. Lane B rides on the Shopify CLI: run shopify version
first and install it if missing. For the full Admin GraphQL schema and
validated execution, pair this skill with Shopify's official AI toolkit
plugin. In Claude Code, check claude plugin list; if it isn't there:
claude plugin marketplace add Shopify/Shopify-AI-Toolkit
claude plugin install shopify-plugin@shopify-ai-toolkit
Recommended, not required: Lane A needs only curl and a token. The toolkit gives your agent the API; this skill gives it the playbook.
The one rule: preview count, then mutate
Every recipe in references/recipes.md pairs a read-only count/preview query with the mutation it feeds. The discipline is not optional:
- Run the count first.
products(query:"…")with a filter returnscountand a page of titles. Read them. - Sanity-check the number against expectation. If you expected ~40 dead products and the count says 900, stop and re-scope: your filter is wrong, not the store. A count far above expectation is a bug in your query.
- Only then mutate, and prefer the reversible path (below).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 200 lines · 151 tokens per session scan A a275568a1e82
shopify-catalog-cleanup is a skill published in the GitHub repository kgelster/awesome-ecom-skills (46 stars, last pushed 21d ago), licensed MIT. It adds 151 tokens to every session and 2,468 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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