analyze-issue

A command that reads a GitHub issue—a reported task or problem in a code repository—and turns it into a structured implementation specification. The specification includes the problem, proposed approach, work plan, tests, files, success criteria, and exclusions.

In plain words
What is it for?
Use it to analyze an issue, define the technical approach, plan code and tests, identify files to change, and agree on what counts as complete.
Why use it?
It turns an often informal issue description into a plan that developers can review and implement. It also encourages test-driven development (writing tests around expected behavior) and small files.

Command

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.

agentmods
npx agentmods add commands/ccplugins/awesome-claude-code-plugins/analyze-issue
Clone the repo
git clone --depth 1 https://github.com/ccplugins/awesome-claude-code-plugins
Per session 23 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 205 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00023 $0.00205
Opus 5 $0.00012 $0.00102
Sonnet 5 $0.00005 $0.00041
Haiku 4.5 $0.00002 $0.00020

Measured 2d ago against content hash 42183c07cad2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

analyze-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 2d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

plugins/analyze-issue/commands/analyze-issue.md · 29 lines

What it actually says

GitHub Issue Analysis and Technical Specification Generator

This template/script generates a technical specification for a GitHub issue with the following components:

Key Components

  1. A bash script to fetch GitHub issue details
  2. A structured technical specification template with sections:
    • Issue Summary
    • Problem Statement
    • Technical Approach
    • Implementation Plan
    • Test Plan
    • Files to Modify/Create
    • Success Criteria
    • Out of Scope

Principles

  • Test-Driven Development (TDD)
  • KISS (Keep It Simple, Stupid) approach
  • 300-line file size limit

The template is designed to provide a comprehensive, structured approach to analyzing and documenting technical issues from GitHub.

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. 2d ago First seen · 29 lines · 23 tokens per session scan A 42183c07cad2

Subscribe to this mod's changes

analyze-issue is a command published in the GitHub repository ccplugins/awesome-claude-code-plugins (926 stars, last pushed 20d ago), licensed Apache-2.0. It adds 23 tokens to every session and 205 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.