orchestrated-execution

orchestrated-execution is a skill for Claude Code from a5c-ai/babysitter. It costs 37 tokens per session (367 once invoked), scanned A, original, MIT.

A four-step workflow for implementing a coding task, checking the result independently, reviewing it for missed requirements, and committing only after approval.

In plain words
What is it for?
Use it to run implementation work through separate coding, validation, adversarial review, and commit stages.
Why use it?
It prevents unfinished, untested, or incorrectly reviewed changes from being treated as complete.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool.

Good fit Use it to run implementation work through separate coding, validation, adversarial review, and commit stages.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/a5c-ai/babysitter/orchestrated-execution
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 orchestrated-execution
Clone the repo
git clone --depth 1 https://github.com/a5c-ai/babysitter

Made for: Claude Code.

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 orchestrated-execution

README.md
[![agentmods](https://agentmods.dev/badge/skills/a5c-ai/babysitter/orchestrated-execution.svg)](https://agentmods.dev/skills/a5c-ai/babysitter/orchestrated-execution)
Your own site
<a href="https://agentmods.dev/skills/a5c-ai/babysitter/orchestrated-execution"><img src="https://agentmods.dev/badge/skills/a5c-ai/babysitter/orchestrated-execution.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 367 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 $0.00037 $0.00367
Opus 5 $0.00018 $0.00183
Sonnet 5 $0.00007 $0.00073
Haiku 4.5 $0.00004 $0.00037

Measured 5d ago against content hash ce95aa4b569e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

orchestrated-execution 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 5d 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/metaswarm/skills/orchestrated-execution/SKILL.md · 40 lines

What it actually says

  • Executing tasks requiring rigorous quality enforcement
  • When TDD compliance must be verified independently

Process

  1. IMPLEMENT - Coder executes via TDD against spec with DoD items
  2. VALIDATE - Orchestrator independently runs tsc, eslint, vitest (never trusts subagent)
  3. ADVERSARIAL REVIEW - Fresh reviewer checks spec compliance: binary PASS/FAIL with evidence
  4. COMMIT - Only after adversarial PASS, within declared file scope

Anti-Patterns (Enforced)

  • Self-certifying (trusting subagent "tests passed" claims)
  • Combining phases into single steps
  • Reusing reviewers after FAIL
  • Passing previous review findings to new reviewers
  • Treating quality gate failures as advisory

Agents Used

  • agents/coder/ - TDD implementation
  • agents/code-reviewer/ - Fresh adversarial review
  • agents/issue-orchestrator/ - Independent validation

Tool Use

Invoke via babysitter process: methodologies/metaswarm/metaswarm-execution-loop

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. 5d ago First seen · 40 lines · 37 tokens per session scan A ce95aa4b569e

Subscribe to this mod's changes

orchestrated-execution is a skill published in the GitHub repository a5c-ai/babysitter (1,778 stars, last pushed 2d ago), licensed MIT. It adds 37 tokens to every session and 367 once invoked, about $0.0002 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 2026-09-03.