execute-plan

execute-plan is a skill for Claude Code from MasonEgger/bpe-claude-code-plugin. It costs 45 tokens per session (1,116 once invoked), scanned A, original, MIT.

A workflow for carrying out the next unchecked step in a project plan. It follows different written steps for features and other tasks, then verifies and documents the result.

In plain words
What is it for?
Use it to implement planned features or tasks from plan.md and todo.md, including writing tests before feature code when the plan calls for it, checking the work, and recording what happened.
Why use it?
It turns a plan into a specific next action and keeps implementation aligned with the project's stated process. This reduces the need to manually decide what to do next or how to check it.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: model in frontmatter; mentions CLAUDE.md.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the bpe plugin — 13 skills, 3 agents shipped together

Good fit Use it to implement planned features or tasks from plan.md and todo.md, including writing tests before feature code when the plan calls for it, checking the work, and recording what happened.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add MasonEgger/bpe-claude-code-plugin
Claude Code
/plugin install bpe

Made for: Claude Code.

Or install bpe, the plugin that ships this one along with the rest of its 13 skills, 3 agents.

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/masonegger/bpe-claude-code-plugin/execute-plan/github.svg)](https://agentmods.dev/skills/masonegger/bpe-claude-code-plugin/execute-plan)
Your own site
<a href="https://agentmods.dev/skills/masonegger/bpe-claude-code-plugin/execute-plan"><img src="https://agentmods.dev/badge/skills/masonegger/bpe-claude-code-plugin/execute-plan/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 execute-plan

Your own site · 80×15
<a href="https://agentmods.dev/skills/masonegger/bpe-claude-code-plugin/execute-plan"><img src="https://agentmods.dev/badge/skills/masonegger/bpe-claude-code-plugin/execute-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,116 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 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 5.1 $0.00045 $0.01116
Opus 5.5 $0.00018 $0.00446
Sonnet 5.5 $0.00009 $0.00223
Haiku 4.5 $0.00005 $0.00112

Measured 1mo ago against content hash bd7fa1bf3577, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 1mo 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.

bpe/skills/execute-plan/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execute Plan Command

  1. Read @plan.md and @todo.md

    • These files complement each other. @todo.md should track the current state of the implementation of @plan.md
  2. Read ${CLAUDE_PLUGIN_ROOT}/references/session-management.md, the canonical reference for the session-tracking rules used in this step and in step 3 below. Then check for .ai-sessions/:

    1. If the directory doesn't exist, do nothing.
    2. If the directory exists, identify the most recent session summary per the find-most-recent rule in the reference, and read it in full. The summary contains what work was completed and lessons learned in the previous session.
    3. If .ai-sessions/handoffs/ contains any .md files, do not consume them here. Mention to the user that /bpe:handoff continue is the entry point for picking up a leftover handoff; it reads the file, primes the session, and handles cleanup.
  3. Invoke relevant skills via the Skill tool: For the project's tech stack (per CLAUDE.md and @plan.md), invoke each matching skill via the Skill tool BEFORE proceeding to step 4. Examples:

    • Python project → invoke python:python (or python if unscoped)
    • Temporal project → invoke temporal:temporal-developer
    • Available skills are listed in the available-skills system reminder.
    • If the prior session summary read in step 2 contains a "Suggested Skills for Next Session" section, treat its entries as inputs per the rule in the session-management reference loaded in step 2; invoke them in addition to stack-derived skills.

    Bias toward invoking. If a skill plausibly matches the stack, invoke it; double-loading is harmless, skipping is not. Auto-loaded CLAUDE.md rules (e.g. python.md arriving as a system-reminder) are NOT the same as invoking the skill; the skill carries additional toolchain, workflow, and reference guidance that only loads on invocation.

    Before moving to step 4, make an explicit decision in user-facing text: either "Invoked: " or "No matching skill for this stack." Only ask the user if you are genuinely unsure which skill applies.

  4. Open @todo.md and select the first unchecked item to work on.

  5. Open @plan.md and locate the specific step being implemented

    • Find the detailed numbered prompts for this step (e.g., "1. RED: Write tests...", "2. GREEN: Implement..." for a Feature step; "1. Scope: ...", "2. Tooling: ...", "3. Do: ..." for a Task step)
    • Follow these prompts EXACTLY in the specified order
    • Do NOT deviate from the file paths, test scenarios, or implementation approach specified
  6. If you have any questions about the task at hand, ask the user.

  7. Implement the plan for this item as specified in @plan.md:

    • Follow the numbered sub-steps as written, with the specific file paths and test scenarios they name (RED/GREEN/REFACTOR for Feature steps; Scope/Tooling/Do/Verify/Document for Task steps)
    • Focus tests on YOUR application logic, not framework or library behavior
    • Verify tests and linting pass and the program builds/runs

    Note: plan.md may mix Feature and Task steps within one plan. Honor whichever sub-step shape the current step declares; the numbered sub-steps ARE the procedure, regardless of template.

  8. Check the diff against the spec's fences. Read three parts of @spec.md, skipping any that is absent (specs written before they existed have none): ## Invariants, ## Non-goals, and the **Deferred:** list under ## Roadmap / phase log. Then check git diff HEAD --name-only and the diff itself:

    • - deps: frozen: the diff must not touch a dependency manifest or lockfile (pyproject.toml, uv.lock, package.json, package-lock.json, Cargo.toml, Cargo.lock, go.mod, go.sum, or their equivalents).
    • - paths: <globs>: every changed file must match one of the globs.
    • Every other Invariants bullet: read it and confirm the diff does not violate it.
    • Non-goals and Deferred entries: the diff must not implement anything listed there.

    A violation is not something to patch around. Stop, report exactly which fence and which files, leave @todo.md unchecked, and ask the user; the fix is a spec change (promote the Deferred item, amend the Invariant) or a plan change, and it is theirs to make.

  9. Update documentation as specified in the @plan.md prompts for this step

  10. Update @todo.md and mark off the item that was completed

  11. Ask the user if there is anything else they want you to do or review for this session.

Read the full file on GitHub · 47 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. 1mo ago Changed · +7 lines bd7fa1bf3577
  2. 2mo ago First seen · 40 lines · 45 tokens per session scan A 88e36057b6e4

Subscribe to this mod's changes

execute-plan is a skill published in the GitHub repository MasonEgger/bpe-claude-code-plugin (7 stars, last pushed 27d ago), licensed MIT. It adds 45 tokens to every session and 1,116 once invoked, about $0.0002 per session on Opus 5.5. 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

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens