executing-plans

executing-plans is a skill for Claude Code, Codex from a5c-ai/babysitter. It costs 25 tokens per session (230 once invoked), scanned A, original, MIT.

A workflow for carrying out a previously written software implementation plan in a separate session. It loads saved tasks, works through batches, and pauses for human review between batches.

In plain words
What is it for?
Use it to execute saved tasks in batches, report progress, wait for feedback, and complete the branch after all tasks are done.
Why use it?
It prevents a long change from being executed without checkpoints or a way to resume. It also helps keep the work isolated and finish the development branch cleanly.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to execute saved tasks in batches, report progress, wait for feedback, and complete the branch after all tasks are done.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/a5c-ai/babysitter/executing-plans
About the project

Babysitter is a workflow engine for AI coding agents that enforces predefined steps, quality checks, human approvals, and decision records. It is used to coordinate complex, repeatable agent workflows across supported coding tools. The catalogue contains skills, agents, instructions, settings, a plugin, and an MCP integration for its workflow.

a5c-ai/babysitter · 1,778 stars · on GitHub · a5c.ai

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.

Any agent
npx skills add a5c-ai/babysitter --skill executing-plans
Clone the repo
git clone --depth 1 https://github.com/a5c-ai/babysitter

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 executing-plans

README.md
[![agentmods](https://agentmods.dev/badge/skills/a5c-ai/babysitter/executing-plans/github.svg)](https://agentmods.dev/skills/a5c-ai/babysitter/executing-plans)
Your own site
<a href="https://agentmods.dev/skills/a5c-ai/babysitter/executing-plans"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/executing-plans/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 executing-plans

Your own site · 80×15
<a href="https://agentmods.dev/skills/a5c-ai/babysitter/executing-plans"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/executing-plans.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 25 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 230 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00025 $0.00230
Opus 5 $0.00013 $0.00115
Sonnet 5 $0.00005 $0.00046
Haiku 4.5 $0.00003 $0.00023

Measured 4d ago against content hash 5ad51cacea5d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 4d 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.

library/methodologies/superpowers/skills/executing-plans/SKILL.md · 32 lines

What it actually says

  • Executing in a separate/parallel session
  • Want human checkpoints between task batches

Process

  1. Load persisted tasks (resume support)
  2. Verify/setup worktree
  3. Execute tasks in batches (default 3)
  4. Report after each batch, wait for feedback
  5. Finish branch after all tasks complete

Agents Used

  • Process agents defined in executing-plans.js
  • References using-git-worktrees for workspace isolation
  • References finishing-a-development-branch for completion

Tool Use

Invoke via babysitter process: methodologies/superpowers/executing-plans

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 4d ago First seen · 32 lines · 25 tokens per session scan A 5ad51cacea5d

Subscribe to this mod's changes

executing-plans is a skill published in the GitHub repository a5c-ai/babysitter (1,778 stars, last pushed 4d ago), licensed MIT. It adds 25 tokens to every session and 230 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 2026-09-05.