plan_approve

plan_approve is a skill for Claude Code from MarcusJellinghaus/mcp-tools-py. It costs 9 tokens per session (156 once invoked), scanned A, a copy of plan_approve, MIT.

A workflow for approving an implementation plan in an issue tracker. It changes the issue status from plan review to plan ready by running a project command.

In plain words
What is it for?
Use it when an issue is in plan review and its implementation plan is ready to be approved.
Why use it?
It records that a plan has been approved and moves the issue into the next workflow stage. It also requires checking that the status change succeeded.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it when an issue is in plan review and its implementation plan is ready to be approved.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/marcusjellinghaus/mcp-tools-py/plan_approve
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 MarcusJellinghaus/mcp-tools-py --skill plan_approve
Clone the repo
git clone --depth 1 https://github.com/MarcusJellinghaus/mcp-tools-py

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 plan_approve

README.md
[![agentmods](https://agentmods.dev/badge/skills/marcusjellinghaus/mcp-tools-py/plan_approve/github.svg)](https://agentmods.dev/skills/marcusjellinghaus/mcp-tools-py/plan_approve)
Your own site
<a href="https://agentmods.dev/skills/marcusjellinghaus/mcp-tools-py/plan_approve"><img src="https://agentmods.dev/badge/skills/marcusjellinghaus/mcp-tools-py/plan_approve/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 plan_approve

Your own site · 80×15
<a href="https://agentmods.dev/skills/marcusjellinghaus/mcp-tools-py/plan_approve"><img src="https://agentmods.dev/badge/skills/marcusjellinghaus/mcp-tools-py/plan_approve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 156 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 100% copy Near-identical to another mod 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 $0.00009 $0.00156
Opus 5 $0.00005 $0.00078
Sonnet 5 $0.00002 $0.00031
Haiku 4.5 $0.00001 $0.00016

Measured 9d ago against content hash d7e556f60327, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

plan_approve 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 9d 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

This is a copy

100% identical to plan_approve — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/plan_approve/SKILL.md · 22 lines

What it actually says

Approve Implementation Plan

Approve the implementation plan and transition the issue to implementation-ready state.

Instructions:

  1. Run the set-status command to update the issue label:
mcp-coder gh-tool set-status status-05:plan-ready
  1. Confirm the status change was successful. Note: If the command fails, report the error to the user. Do not use --force unless explicitly asked.

Effect: Changes issue status from status-04:plan-review to status-05:plan-ready.

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. 9d ago First seen · 22 lines · 9 tokens per session scan A d7e556f60327

Subscribe to this mod's changes

plan_approve is a skill published in the GitHub repository MarcusJellinghaus/mcp-tools-py (18 stars, last pushed 2d ago), licensed MIT. It adds 9 tokens to every session and 156 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to plan_approve, differing in 0 lines, and is treated as a copy.

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