issue-plan-review

issue-plan-review is a command for coding agents from LeanAndMean/mach10. It costs 22 tokens per session (3,411 once invoked), scanned A, original, MIT.

A review workflow for a GitHub issue and its comments that evaluates the proposed implementation plan. A GitHub issue is a tracked task, bug, or request, and its comments may contain additional requirements.

In plain words
What is it for?
Use it to inspect an issue, assess each plan finding, consider extra constraints, and present review conclusions.
Why use it?
It provides an independent check that the plan addresses the issue and its discussion before development begins.

Command

Part of the mach10 plugin — 14 commands, 1 agent shipped together

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/leanandmean/mach10/issue-plan-review
Clone the repo
git clone --depth 1 https://github.com/LeanAndMean/mach10

Or install mach10, the plugin that ships this one along with the rest of its 14 commands, 1 agent.

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 issue-plan-review

README.md
[![agentmods](https://agentmods.dev/badge/commands/leanandmean/mach10/issue-plan-review.svg)](https://agentmods.dev/commands/leanandmean/mach10/issue-plan-review)
Your own site
<a href="https://agentmods.dev/commands/leanandmean/mach10/issue-plan-review"><img src="https://agentmods.dev/badge/commands/leanandmean/mach10/issue-plan-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,411 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 $0.00022 $0.03411
Opus 5 $0.00011 $0.01706
Sonnet 5 $0.00004 $0.00682
Haiku 4.5 $0.00002 $0.00341

Measured 5d ago against content hash 3dbcac0ad830, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

issue-plan-review 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 5d 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.

commands/issue-plan-review.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Issue Plan Review

You are reviewing the implementation plan for a GitHub issue. Your goal is to read the issue and all comments, independently assess the plan, and present your findings.

User input: $ARGUMENTS

Note: This command performs best with an Opus-class model. On Sonnet or Haiku, results may be shallower.

Step 0: Parse input and create task list

The user's input contains:

  • An issue number (required)
  • Additional context or constraints (optional)

Extract the issue number from the input. If the input is ambiguous, ask the user to clarify. If context was provided, note it for use during exploration and review.

After parsing input, create the progress-tracking task list. Create a task for Step 0 and immediately mark it in progress. Then create tasks for each of the remaining 5 steps one at a time, in step order, all starting as pending. Task list display order matches creation order, so each task must be a separate sequential call -- do not batch multiple task creations in a single message. Store each returned task ID for later use -- do not assume IDs are sequential.

Task Subject activeForm
Step 0 Step 0: Parse input and create task list Parsing input
Step 1 Step 1: Read the issue and locate plan Reading the issue
Step 2 Step 2: Explore the codebase Exploring the codebase
Step 3 Step 3: Review the plan Reviewing the plan
Step 4 Step 4: Run independent assessment Running independent assessment
Step 5 Step 5: Present findings and execute decision Presenting findings

Mark Step 0 complete.

Step 1: Read the issue and locate plan

Mark Step 1 in progress.

Read the issue title and body:

gh issue view <issue-number>

Then read all comments (--comments returns only comments and silently drops the title and body, so both calls are required):

gh issue view <issue-number> --comments

Understand:

  • The original problem statement and requirements
  • The implementation plan (typically posted as a comment)
  • Any discussion, decisions, or clarifications in the comment thread

Read the full file on GitHub · 228 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. 5d ago First seen · 228 lines · 22 tokens per session scan A 3dbcac0ad830

Subscribe to this mod's changes

issue-plan-review is a command published in the GitHub repository LeanAndMean/mach10 (20 stars, last pushed 3mo ago), licensed MIT. It adds 22 tokens to every session and 3,411 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.

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