execute-plan

A development-plan execution command that follows an implementation plan and tracks its tasks in Archon, a task-management system. It reads the plan, connects it to an Archon project, and manages progress during implementation.

In plain words
What is it for?
Use it to execute a prepared plan, create or find the related Archon project, and track each development task from start to completion.
Why use it?
It keeps multi-step development work organized and makes task progress visible while the plan is being carried out.

Command

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/coleam00/context-engineering-intro/execute-plan
Clone the repo
git clone --depth 1 https://github.com/coleam00/context-engineering-intro
Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,201 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 $0.00011 $0.01201
Opus 5 $0.00005 $0.00600
Sonnet 5 $0.00002 $0.00240
Haiku 4.5 $0.00001 $0.00120

Measured 3d ago against content hash e3bf3a24676e, 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.

use-cases/ai-coding-workflows-foundation/commands/execute-plan.md · 139 lines

How it starts

The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execute Development Plan with Archon Task Management

You are about to execute a comprehensive development plan with integrated Archon task management. This workflow ensures systematic task tracking and implementation throughout the entire development process.

Critical Requirements

MANDATORY: Throughout the ENTIRE execution of this plan, you MUST maintain continuous usage of Archon for task management. DO NOT drop or skip Archon integration at any point. Every task from the plan must be tracked in Archon from creation to completion.

Step 1: Read and Parse the Plan

Read the plan file specified in: $ARGUMENTS

The plan file will contain:

  • A list of tasks to implement
  • References to existing codebase components and integration points
  • Context about where to look in the codebase for implementation

Step 2: Project Setup in Archon

  1. Check if a project ID is specified in CLAUDE.md for this feature

    • Look for any Archon project references in CLAUDE.md
    • If found, use that project ID
  2. If no project exists:

    • Create a new project in Archon using mcp__archon__manage_project
    • Use a descriptive title based on the plan's objectives
    • Store the project ID for use throughout execution

Step 3: Create All Tasks in Archon

For EACH task identified in the plan:

  1. Create a corresponding task in Archon using mcp__archon__manage_task("create", ...)
  2. Set initial status as "todo"
  3. Include detailed descriptions from the plan
  4. Maintain the task order/priority from the plan

IMPORTANT: Create ALL tasks in Archon upfront before starting implementation. This ensures complete visibility of the work scope.

Step 4: Codebase Analysis

Before implementation begins:

  1. Analyze ALL integration points mentioned in the plan
  2. Use Grep and Glob tools to:
    • Understand existing code patterns
    • Identify where changes need to be made
    • Find similar implementations for reference
  3. Read all referenced files and components
  4. Build a comprehensive understanding of the codebase context

Read the full file on GitHub · 139 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 · 139 lines · 11 tokens per session scan A e3bf3a24676e

Subscribe to this mod's changes

execute-plan is a command published in the GitHub repository coleam00/context-engineering-intro (13,819 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 1,201 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.