plan-exec

plan-exec is a skill for Claude Code, Codex from JordanGunn/nunchuck. It costs 33 tokens per session (250 once invoked), scanned A, original, MIT.

Instructions for carrying out tasks listed in the currently active plan under .plan/active/. Each task receives an Output and Handoff, and the plan is archived when finished.

In plain words
What is it for?
Use it to execute an existing active plan, document each task's result, and archive the plan after it reaches a final state.
Why use it?
It gives planned work a consistent record of results and handoff notes. This makes it easier to track what was done and what comes next.

Skill for Claude CodeCodex

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 skills/jordangunn/nunchuck/plan-exec
Any agent
npx skills add JordanGunn/nunchuck --skill plan-exec
Clone the repo
git clone --depth 1 https://github.com/JordanGunn/nunchuck

Made for: Claude Code, Codex.

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-exec

README.md
[![agentmods](https://agentmods.dev/badge/skills/jordangunn/nunchuck/plan-exec.svg)](https://agentmods.dev/skills/jordangunn/nunchuck/plan-exec)
Your own site
<a href="https://agentmods.dev/skills/jordangunn/nunchuck/plan-exec"><img src="https://agentmods.dev/badge/skills/jordangunn/nunchuck/plan-exec.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 250 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 $0.00033 $0.00250
Opus 5 $0.00016 $0.00125
Sonnet 5 $0.00007 $0.00050
Haiku 4.5 $0.00003 $0.00025

Measured 4d ago against content hash 6fed022a3d36, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

plan-exec 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 4d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/include/plan_exec_cli.py, scripts/include/plan_exec_parse.py, scripts/skill.ps1, …), 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.

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/plan/plan-exec/SKILL.md · 40 lines

What it actually says

INSTRUCTIONS

  1. Refer to metadata.references.
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. 4d ago First seen · 40 lines · 33 tokens per session scan A 6fed022a3d36

Subscribe to this mod's changes

plan-exec is a skill published in the GitHub repository JordanGunn/nunchuck (9 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 250 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

agent-dreaming

DEPRECATED — use agent-dreaming-agnostic instead. Background memory consolidation for built-in MEMORY.md only.

nexus9888/hermes-memory-skills · 28 tokens

claude-md-improver

Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project…

anthropics/claude-plugins-official · 82 tokens

agent-platform-model-registry

Agent Platform Model Registry Management. Use when you need to upload, list, describe, update, or delete machine learning models (and their versions) in the Agent Platform Model Registry. Don't use for model training, model deployment to endpoints, or managing non-Agent Platform models.

google/skills · 60 tokens

twitter-reader

Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…

himself65/finance-skills · 161 tokens

chenhao-limit-up

Use when evaluating A-share limit-up (涨停板) setups through Chen Hao's sentiment and momentum lens: market emotion cycles, board strength, follow-through, and short-term aggressive momentum trading.

questflowai/investorskills · 44 tokens

comet-github

将 Comet GitHub 维护请求路由到基于证据的 PR 审阅、Issue 分诊、本地想法收集、CI 诊断或 Issue 实施流程。用户提到 Comet GitHub Issue/PR 但未指定流程,或询问下一步如何处理时使用。.

rpamis/comet · 72 tokens