review-issue

review-issue is a skill for Claude Code from tomzx/agents. It costs 27 tokens per session (1,497 once invoked), scanned A, original, MIT.

A review process for checking whether a GitHub issue gives developers enough information to begin work.

In plain words
What is it for?
Reviewing bug, feature, question, or chore issues and proposing an improved issue description or requesting clarification.
Why use it?
It finds unclear requirements, missing acceptance criteria, weak reproduction details, and unjustified time estimates before development starts.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: positional $N argument.

Good fit Reviewing bug, feature, question, or chore issues and proposing an improved issue description or requesting clarification.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tomzx/agents/review-issue
View source ↗ tomzx/agents
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 tomzx/agents --skill review-issue
Clone the repo
git clone --depth 1 https://github.com/tomzx/agents

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 review-issue

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/tomzx/agents/review-issue"><img src="https://agentmods.dev/badge/skills/tomzx/agents/review-issue.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,497 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. Third-party audits
  • 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 $0.00027 $0.01497
Opus 5 $0.00014 $0.00749
Sonnet 5 $0.00005 $0.00299
Haiku 4.5 $0.00003 $0.00150

Measured 6d ago against content hash 55d7fb0a2aee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

review-issue 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 6d 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.

skills/review-issue/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Issue

Audits an existing GitHub issue and reports findings across five categories: completeness, clarity, acceptance criteria quality, time budget defensibility, and scope. If findings exist, either proposes an edited issue body in the conversation or posts a comment requesting improvements.

Prerequisites

  • Apply the shared SDLC conventions in skills/sdlc/references/shared.md.
  • If no argument is provided, target the issue from $ISSUE_NUMBER (and $REPO).
  • gh CLI authenticated with access to the repository
  • Issue URL or number ($1)

Steps

  1. Fetch the issue and its comments:
    ghx issue view $1 --comments
    
  2. Identify the issue type (bug / feature / question / chore).
  3. Evaluate using the checklist below.
  4. Report findings. If findings exist, choose one of:
    • Propose a revised issue body in the conversation for the user to approve, then apply with gh issue edit
    • Post a comment requesting clarification (when the missing information must come from the reporter)

Review Checklist

Completeness

Bug reports:

  • Is the unexpected behavior clearly described?
  • Are steps to reproduce provided?
  • Are the expected vs. actual behaviors stated?
  • Is the affected version or environment mentioned?

Feature requests:

  • Is the problem or use case described (not just the desired solution)?
  • Is the intended user or stakeholder identified?
  • Is the scope reasonably bounded?

All types:

  • Is background/context present?
  • Are acceptance criteria present?
  • Is there a time budget (for private repositories)?

Clarity

  • Is the title specific enough to understand the issue without reading the body?
  • Is the description free of ambiguous terms?
  • Are acceptance criteria written as verifiable conditions, not vague goals?

Acceptance Criteria Quality

  • Is each AC testable (can a concrete test be written for it)?
  • Is each AC specific about what, not how?
  • Are ACs split into Must (the exit gate) and Should (deferrable)? If a flat list is used, propose the split.
  • Is Must minimal? If it exceeds roughly 5 items, flag the issue as likely too broad and recommend splitting the issue.
  • Do the Must ACs cover the happy path, with edge cases and error handling moved to Should (or kept in Must only when they gate "done")?
  • Are there duplicate or contradictory ACs?
  • Are there ACs implied by the description but not stated?

Read the full file on GitHub · 167 lines

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. 6d ago First seen · 167 lines · 27 tokens per session scan A 55d7fb0a2aee

Subscribe to this mod's changes

review-issue is a skill published in the GitHub repository tomzx/agents (6 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 1,497 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 2026-09-03.

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