github-review-iteration

github-review-iteration is a skill for Claude Code from prisma/orm. It costs 60 tokens per session (2,127 once invoked), scanned A, original, Apache-2.0.

A workflow for iterating on GitHub pull request feedback by fetching review state, planning actions, making code changes, and checking the result again.

In plain words
What is it for?
Use it when addressing review comments, triaging feedback, or working toward a clean pull request.
Why use it?
It keeps review comments and implementation steps organized until the actionable issues are cleared.

Skill for Claude Code ✓ vendor

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions subagents.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is node ../review-fetch-phase/scripts/fetch-review-state.mjs --pr <PR_URL> --out-json <review-dir>/review-state.json.

Good fit Use it when addressing review comments, triaging feedback, or working toward a clean pull request.

Compare 6 skills from other repositories ↓
About the project

Prisma ORM is a Node.js and TypeScript database toolkit that lets applications work with databases through a programming interface instead of writing every query directly in SQL. Developers use it with databases including PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB, and CockroachDB. The catalogue add-ons provide agent rules, skills, hooks, agents, and other workflows for using Prisma.

prisma/orm · 47,697 stars · on GitHub · prisma.io

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/prisma/orm
agentmods
npx agentmods add skills/prisma/orm/github-review-iteration

Made for: Claude Code.

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 github-review-iteration

README.md
[![agentmods](https://agentmods.dev/badge/skills/prisma/orm/github-review-iteration/github.svg)](https://agentmods.dev/skills/prisma/orm/github-review-iteration)
Your own site
<a href="https://agentmods.dev/skills/prisma/orm/github-review-iteration"><img src="https://agentmods.dev/badge/skills/prisma/orm/github-review-iteration/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 github-review-iteration

Your own site · 80×15
<a href="https://agentmods.dev/skills/prisma/orm/github-review-iteration"><img src="https://agentmods.dev/badge/skills/prisma/orm/github-review-iteration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,127 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Snyk warn 7 Sept 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00060 $0.02127
Opus 5.5 $0.00024 $0.00851
Sonnet 5.5 $0.00012 $0.00425
Haiku 4.5 $0.00006 $0.00213

Measured 1mo ago against content hash dd06d96f3e8e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github-review-iteration 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/review-iterate.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

- Do **not** disable TLS verification (no `GH_NO_VERIFY_SSL`, no custom curl flags).
Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills-contrib/github-review-iteration/SKILL.md · 235 lines

How it starts

The opening of the file, as written. The whole thing — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub Review Iteration

Run an iterative PR review loop: fetch state → render/summarize → triage actions → implement (code + Done + resolve) → re-fetch until the PR has no remaining actionable items.

This skill is an orchestrator. It delegates:

  • triage to ../review-triage-phase/agents/review-triager.md
  • implementation to ../review-implement-phase/agents/review-implementer.md

The orchestrator owns sequencing, handoff, and loop control. It does not perform triage or implementation directly when delegation is available.

Locating sibling skills and scripts

This skill depends on three sibling skills that live in the same parent directory:

  • ../review-fetch-phase/ — fetches and renders PR review state
  • ../review-triage-phase/ — triages review threads into an action plan
  • ../review-implement-phase/ — implements triaged actions and resolves threads

All script paths in this document are relative to this skill's directory. Use ../ to reach sibling skills. Do not search the workspace/repo for these files — they are part of the skills installation, not the project being reviewed.

Run the scripts from the repository root, addressing them by their full path under the skills installation. The reviews root defaults to wip/reviews resolved against the working directory, so a run started elsewhere writes artifacts outside the repo-root wip/ tree that .gitignore covers. Pass --reviews-root <repo-root>/wip/reviews if you must run from another directory.

To run a path from the repository root, prefix it with this skill's installed location — .agents/skills/github-review-iteration/. So ../review-fetch-phase/scripts/fetch-review-state.mjs becomes .agents/skills/review-fetch-phase/scripts/fetch-review-state.mjs.

Usage

This skill supports subcommands:

  • triage: fetch + triage into structured actions
  • implement: execute the triaged actions and update status
  • iterate: loop triage → implement until clear (default)

Read the full file on GitHub · 235 lines

Files

What ships with it

3 files 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. 1mo ago First seen · 235 lines · 60 tokens per session scan A dd06d96f3e8e

Subscribe to this mod's changes

github-review-iteration is a skill published in the GitHub repository prisma/orm (47,697 stars, last pushed today), licensed Apache-2.0. It adds 60 tokens to every session and 2,127 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.

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