shopify-review-triage

shopify-review-triage is a skill for Claude Code, Codex from alfredtech2026/shopify-app-review-brief. It costs 124 tokens per session (4,384 once invoked), scanned A, original, MIT.

A method for turning public one- to three-star Shopify App Store reviews into a prioritized P0–P3 brief. Shopify App Store reviews are public feedback about Shopify apps, and P0–P3 labels rank urgency.

In plain words
What is it for?
Use it to triage low-rated reviews across Shopify app listings, identify what needs attention first, and produce an actionable brief for product or support teams.
Why use it?
It separates incident risks, repeated user problems, pricing confusion, and feature requests while preserving each review’s public source and marking whether it received a human check.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to triage low-rated reviews across Shopify app listings, identify what needs attention first, and produce an actionable brief for product or support teams.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alfredtech2026/shopify-app-review-brief/shopify-review-triage
Install

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.

Any agent
npx skills add alfredtech2026/shopify-app-review-brief --skill shopify-review-triage
Clone the repo
git clone --depth 1 https://github.com/alfredtech2026/shopify-app-review-brief

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for shopify-review-triage

README.md
[![agentmods](https://agentmods.dev/badge/skills/alfredtech2026/shopify-app-review-brief/shopify-review-triage/github.svg)](https://agentmods.dev/skills/alfredtech2026/shopify-app-review-brief/shopify-review-triage)
Your own site
<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.

agentmods 80×15 button for shopify-review-triage

Your own site · 80×15
<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>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,384 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 11d ago against content hash a1354541b109, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

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.

docs/skills/shopify-review-triage/SKILL.md · 310 lines

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.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. No promises. No revenue impact, no outcome, no ranking effect, no legal or compliance advice. Suggest actions; do not predict results.
  7. 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.
  8. Reviewers are people. Refer to "the reviewer". Do not name, profile, or speculate about them.

Read the full file on GitHub · 310 lines

Files

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.

Changes

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.

  1. 11d ago First seen · 310 lines · 124 tokens per session scan A a1354541b109

Subscribe to this mod's changes

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.