Borrowing it
Nothing to install: this file belongs to harukiseller-droid/commerce-agent-bench. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/harukiseller-droid/commerce-agent-bench/main/.agents/skills/ecommerce-pr-review/SKILL.mdgit clone --depth 1 https://github.com/harukiseller-droid/commerce-agent-benchWrote 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/harukiseller-droid/commerce-agent-bench/ecommerce-pr-review)<a href="https://agentmods.dev/skills/harukiseller-droid/commerce-agent-bench/ecommerce-pr-review"><img src="https://agentmods.dev/badge/skills/harukiseller-droid/commerce-agent-bench/ecommerce-pr-review/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/harukiseller-droid/commerce-agent-bench/ecommerce-pr-review"><img src="https://agentmods.dev/badge/skills/harukiseller-droid/commerce-agent-bench/ecommerce-pr-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.00348 |
| Opus 5 | $0.00008 | $0.00174 |
| Sonnet 5 | $0.00003 | $0.00070 |
| Haiku 4.5 | $0.00002 | $0.00035 |
Grade A, and why
ecommerce-pr-review 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.
What it actually says
Ecommerce PR Review
Purpose
Review ecommerce pull requests for buyer risk, runtime regressions, unsupported facts, and missing verification.
When to use
Use for any pull request or proposed patch that touches ecommerce code, templates, content, schema, integrations, or agent workflows.
Inputs
- the pull request diff and base revision;
- repository protocol and relevant core skills;
- tests, evals, runtime evidence, and verified merchant data when available.
Required checks
Review in this order:
- Commerce fact safety
- Runtime regression
- Checkout/cart risk
- Product data integrity
- Schema
- WooCommerce/Shopify integration
- Accessibility
- SEO
- Security
- Test coverage
Use exact file and line evidence. Check callers and data sources before concluding that a behavior is broken.
Output contract
For each finding, return:
[SEVERITY] rule-id
File: path:line
Evidence: exact source or observed behavior
Risk: practical consequence
Fix: smallest verified fix
Mark unsupported conclusions as UNKNOWN or INFERENCE; never present speculation as a confirmed issue.
Failure conditions
- Do not approve a commerce claim without traceable evidence.
- Do not certify runtime, checkout, or platform behavior from static code alone.
- Do not widen the review into unrelated layout, copy, business logic, or tracking changes.
Verification
Inspect the final diff, run pytest -q and python scripts/run_evals.py, and report remaining unverified runtime or platform risks.
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 · 61 lines · 16 tokens per session scan A ba7ad3933cdb
ecommerce-pr-review is a skill published in the GitHub repository harukiseller-droid/commerce-agent-bench (102 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 348 once invoked, about $0.0001 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 2026-08-30.
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