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 commerce-agentic/agentic-commerce-skills --skill agentic-commerce-generate-ai-descriptionsgit clone --depth 1 https://github.com/commerce-agentic/agentic-commerce-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/commerce-agentic/agentic-commerce-skills/agentic-commerce-generate-ai-descriptions)<a href="https://agentmods.dev/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-generate-ai-descriptions"><img src="https://agentmods.dev/badge/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-generate-ai-descriptions/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/commerce-agentic/agentic-commerce-skills/agentic-commerce-generate-ai-descriptions"><img src="https://agentmods.dev/badge/skills/commerce-agentic/agentic-commerce-skills/agentic-commerce-generate-ai-descriptions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00038 | $0.01080 |
| Opus 5 | $0.00019 | $0.00540 |
| Sonnet 5 | $0.00008 | $0.00216 |
| Haiku 4.5 | $0.00004 | $0.00108 |
Grade A, and why
agentic-commerce-generate-ai-descriptions scanned grade A with 0 findings 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 11d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Takes products flagged by agentic-commerce-audit-descriptions (or any product list) and rewrites their descriptions using Claude to inject the structured signals AI shopping agents need: use-case language, dimensions, materials, target persona — without losing the brand voice.
The skill is conservative by default: it does not overwrite existing descriptions in a single pass. It writes the rewrite to a draft field and shows the diff. The merchant explicitly approves the batch before publish.
Prerequisites
- Authenticated Shopify CLI session
- API scopes:
read_products,write_products ANTHROPIC_API_KEYenv var set (for the Claude call)
Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| store | string | yes | — | Store domain |
| product_ids | array | no | — | Specific product IDs to rewrite. If omitted, rewrites all products with description-dimension score < 10 |
| dry_run | bool | no | true | Preview rewrites without persisting to Shopify |
| publish | bool | no | false | Overwrite the actual description (default: only writes to a draft metafield) |
| voice | string | no | preserved | Brand voice: preserved (mirror current style), professional, casual, technical |
| max_words | integer | no | 80 | Soft cap on rewritten description length |
Workflow Steps
-
Identify target products: if
product_idsnot provided, run the audit-descriptions skill to find weak descriptions. -
For each product, build a Claude prompt with:
- Current title, vendor, product type, tags
- Current description (for voice reference)
- Identified gaps from the audit (e.g., "missing material info", "no use-case language")
- Instruction: rewrite to address the gaps while preserving the voice. Add concrete materials/dimensions only if they can be inferred from the title or tags (do not invent specs).
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.
- 11d ago First seen · 97 lines · 38 tokens per session scan A 7e038d96f108
agentic-commerce-generate-ai-descriptions is a skill published in the GitHub repository commerce-agentic/agentic-commerce-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 38 tokens to every session and 1,080 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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