execute-plan

execute-plan is a skill for Claude Code, Codex from savedpixel/ai-agent-rules-generator. It costs 32 tokens per session (616 once invoked), scanned A, original, MIT.

A workflow for carrying out an existing software implementation plan from start to finish. It covers coding, testing, documentation, and final checks.

In plain words
What is it for?
Use it when a plan file is ready to implement. It also reviews recent project notes, detects stale or conflicting plans, and records progress through the work.
Why use it?
It reduces the risk of skipping planned steps or declaring work finished before tests and checks are done.

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/savedpixel/ai-agent-rules-generator/execute-plan
Any agent
npx skills add savedpixel/ai-agent-rules-generator --skill execute-plan
Clone the repo
git clone --depth 1 https://github.com/savedpixel/ai-agent-rules-generator

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 execute-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/savedpixel/ai-agent-rules-generator/execute-plan.svg)](https://agentmods.dev/skills/savedpixel/ai-agent-rules-generator/execute-plan)
Your own site
<a href="https://agentmods.dev/skills/savedpixel/ai-agent-rules-generator/execute-plan"><img src="https://agentmods.dev/badge/skills/savedpixel/ai-agent-rules-generator/execute-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 616 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 $0.00032 $0.00616
Opus 5 $0.00016 $0.00308
Sonnet 5 $0.00006 $0.00123
Haiku 4.5 $0.00003 $0.00062

Measured 3d ago against content hash 2b0becc08166, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

execute-plan 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 3d 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.

examples/glitch-payment-gateway/v1.1/codex/generated/.agents/skills/execute-plan/SKILL.md · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execute Implementation Plan

You have been given a plan file. Your job is to implement it fully — code, test, document, and close out.

Instructions

1. Read the Plan

  • Read the attached plan file completely.
  • Understand every section: Context, Current State, Target State, Implementation Steps, Testing Plan, Post-Implementation Checklist.
  • Note the gate structure.

2. Review Recent Context

  • Read latest task log(s) in docs/task/logs/.
  • Read docs/task/todo.md for conflicts.
  • Read docs/task/lessons.md for relevant lessons.
  • Read agent observation logs in docs/agent-observations/ for relevant unresolved items.

If the plan is stale or conflicts, STOP and tell the user.

3. Execute Implementation Steps

Work through each step in order:

  • Mark checkboxes as you complete them.
  • Follow exact file paths, line numbers, and descriptions.
  • If line numbers have drifted, locate by context.
  • If blocked or plan is wrong, STOP and tell the user.

4. Execute Testing Plan (BLOCKING)

After ALL implementation steps, execute the Testing Plan:

  1. Run every Automated Check.
  2. Execute every Browser Verification step using Chrome MCP tools. Log in at http://localhost:8080/wp-admin (admin/password). Resize to 1900×1200.
  3. Execute every Regression Check.
  4. Verify Edge Cases.

Reading code is not testing. You must use Chrome MCP tools for UI verification. If any test fails, fix and re-test.

5. Documentation & Logging (only after testing passes)

  1. Update affected documentation per the trigger map in AGENTS.md.
  2. Add task log entry to today's docs/task/logs/YYYY-MM-DD.md.
  3. Log observations to docs/agent-observations/. If none: "Observations: none."

6. Close Out

  1. Update plan status to Complete.
  2. Mark all Post-Implementation Checklist items checked.
  3. Remove task from docs/task/todo.md.
  4. Move plan file from draft/ to completed/.
  5. Confirm to user: what was done, what was tested, result.

Rules

Read the full file on GitHub · 68 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. 3d ago First seen · 68 lines · 32 tokens per session scan A 2b0becc08166

Subscribe to this mod's changes

execute-plan is a skill published in the GitHub repository savedpixel/ai-agent-rules-generator (7 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 616 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.

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