executing-plans

A workflow for carrying out a written software implementation plan in a separate work session, with review checkpoints.

In plain words
What is it for?
Loading and reviewing a plan, completing its tasks one by one, running the listed checks, and reporting the result.
Why use it?
It helps prevent planned tasks from being skipped and requires concerns to be raised before coding begins.

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/roundpilot/superpowers-antigravity/executing-plans
Any agent
npx skills add roundpilot/superpowers-antigravity --skill executing-plans
Clone the repo
git clone --depth 1 https://github.com/roundpilot/superpowers-antigravity

Made for: Claude Code, Codex.

Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 591 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 $0.00022 $0.00591
Opus 5 $0.00011 $0.00296
Sonnet 5 $0.00004 $0.00118
Haiku 4.5 $0.00002 $0.00059

Measured 3d ago against content hash 1b950ee53e5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

executing-plans 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.

skills/executing-plans/SKILL.md · 72 lines

How it starts

The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Executing Plans

Overview

Load plan, review critically, execute all tasks, report when complete.

Announce at start: "I'm using the executing-plans skill to implement this plan."

Note: This skill is for environments without subagent support. If subagents are available, use superpowers:subagent-driven-development instead — it provides higher quality through fresh-context-per-task and two-stage review.

The Process

Step 1: Load and Review Plan

  1. Ensure an isolated workspace: use superpowers:using-git-worktrees to create one or verify the existing one
  2. Read plan file
  3. Review critically - identify any questions or concerns about the plan
  4. If concerns: Raise them with the user before starting
  5. If no concerns: Create task.md artifact (using write_to_file with IsArtifact: true and the task type in ArtifactMetadata) and proceed

Step 2: Execute Tasks

For each task:

  1. Mark as in_progress
  2. Follow each step exactly (plan has bite-sized steps)
  3. Run verifications as specified
  4. Mark as completed

Step 3: Complete Development

After all tasks complete and verified:

  1. Generate walkthrough artifact: Create a walkthrough.md artifact (using write_to_file with IsArtifact: true, with the walkthrough type and RequestFeedback: true in ArtifactMetadata) summarizing:

    • What was implemented (list of changes per component)
    • What was tested and results
    • Embed any relevant screenshots or recordings
    • Use file links to point to key changed files
  2. Finish the branch:

    • Announce: "I'm using the finishing-a-development-branch skill to complete this work."
    • REQUIRED SUB-SKILL: Use superpowers:finishing-a-development-branch
    • Follow that skill to verify tests, present options, execute choice

When to Stop and Ask for Help

STOP executing immediately when:

  • Hit a blocker (missing dependency, test fails, instruction unclear)
  • Plan has critical gaps preventing starting
  • You don't understand an instruction
  • Verification fails repeatedly

Read the full file on GitHub · 72 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 · 72 lines · 22 tokens per session scan A 1b950ee53e5b

Subscribe to this mod's changes

executing-plans is a skill published in the GitHub repository roundpilot/superpowers-antigravity (62 stars, last pushed 8d ago), licensed MIT. It adds 22 tokens to every session and 591 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.

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