execute-plan

A command that executes a prepared implementation plan through an iterative development workflow.

In plain words
What is it for?
Use it to run a plan in a loop or, when explicitly requested, start it in a fresh session.
Why use it?
It turns an agreed plan into a structured work session, reducing the need to manually start and manage each implementation step.

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/chriswritescode-dev/opencode-forge/execute-plan
Clone the repo
git clone --depth 1 https://github.com/chriswritescode-dev/opencode-forge
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 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 $0.00000 $0.00201
Opus 5 $0.00000 $0.00101
Sonnet 5 $0.00000 $0.00040
Haiku 4.5 $0.00000 $0.00020

Measured yesterday against content hash 7bb7f51b9728, 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 yesterday.

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.

src/prompts/commands/execute-plan.md · 18 lines

What it actually says

Step 1: Prepare the Plan

Ensure you have a clear implementation plan ready.

Step 2: Execute the Plan

Run execute-plan directly — do not use the question tool to pick a mode. Default to mode: loop, which runs the iterative development loop in an isolated git worktree with msb microVM sandboxing used automatically when configured and available. Use mode: new-session only when the user explicitly asked to launch the plan in a fresh standalone session with no worktree or sandbox.

Args:

  • plan: Optional full implementation plan. If omitted, Forge reads the captured plan for the current session.
  • title: Required short descriptive title.
  • loopName: Optional loop name. Forge slugifies it and auto-increments on collision.
  • mode: The execution mode — loop (default) or new-session.

Use loop-status to check progress or loop-cancel to stop.

$ARGUMENTS

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. yesterday First seen · 18 lines · 0 tokens per session scan A 7bb7f51b9728

Subscribe to this mod's changes

execute-plan is a command published in the GitHub repository chriswritescode-dev/opencode-forge (11 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 201 tokens. 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.