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 alfredtech2026/shopify-app-review-brief --skill shopify-review-triagegit clone --depth 1 https://github.com/alfredtech2026/shopify-app-review-briefWrote 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/alfredtech2026/shopify-app-review-brief/shopify-review-triage)<a href="https://agentmods.dev/skills/alfredtech2026/shopify-app-review-brief/shopify-review-triage"><img src="https://agentmods.dev/badge/skills/alfredtech2026/shopify-app-review-brief/shopify-review-triage/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/alfredtech2026/shopify-app-review-brief/shopify-review-triage"><img src="https://agentmods.dev/badge/skills/alfredtech2026/shopify-app-review-brief/shopify-review-triage.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 | $0.00124 | $0.04384 |
| Opus 5 | $0.00062 | $0.02192 |
| Sonnet 5 | $0.00025 | $0.00877 |
| Haiku 4.5 | $0.00012 | $0.00438 |
Grade A, and why
shopify-review-triage 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 — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Shopify review triage — public low-star reviews to a P0–P3 brief
What this does
Takes rows of public Shopify App Store review text and produces one prioritized brief a product or support owner can act on: what kind of problem each review describes, how badly it can hurt, what to do first, and where the original wording came from.
It is built for independent Shopify app teams and the agencies that run their support — the case where low-star reviews arrive scattered across several listings plus a few watched competitors, and the failure mode is treating them all as equally urgent.
The rubric below is not invented here. It is the published rule set behind the free review triage worksheet and the manual triage guide, reproduced verbatim so a manual pass, the worksheet, and this skill sort the same row the same way.
Hard rules
These are not style preferences. Breaking one makes the output worse than nothing.
- Public review text only. Never accept, request, or copy support tickets, merchant emails, order data, personal contact details, internal telemetry, or anything else not already public on a listing page. If such data appears in the input, stop, say which rows are affected, and ask for them to be removed before continuing.
- Never invent evidence. Do not write a review, a rating, a date, an app name, or a source
URL that was not supplied. A row with no link gets
source: not captured— never a guessed one. - Keyword output is a sort, not a verdict. Everything produced by the rubric alone is labeled first pass — not human-checked. Only a person who read the review and checked it against their own systems may relabel an item human-checked.
- Reviews are customer reports, not verified defects. Write "the reviewer reports the editor showed a blank screen", never "the editor is broken". The distinction survives into the brief.
- No coverage claims. The brief covers exactly the rows supplied and says so. Make no claim of exhaustive coverage of a listing, a period, or an app.
- No promises. No revenue impact, no outcome, no ranking effect, no legal or compliance advice. Suggest actions; do not predict results.
- Draft only — never contact anyone. Do not send email, post a developer reply, open a support ticket, message a reviewer, or publish anything. Hand the draft back to the team and let a person decide what to send.
- Reviewers are people. Refer to "the reviewer". Do not name, profile, or speculate about them.
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.
- 11d ago First seen · 310 lines · 124 tokens per session scan A a1354541b109
shopify-review-triage is a skill published in the GitHub repository alfredtech2026/shopify-app-review-brief (0 stars, last pushed 1mo ago), licensed MIT. It adds 124 tokens to every session and 4,384 once invoked, about $0.0006 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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