auto-execute

auto-execute is a skill for Claude Code, Codex from appautomaton/automaton. It costs 17 tokens per session (2,763 once invoked), scanned A, original, MIT.

An execution workflow for carrying out approved slices of a software plan while keeping the implementation within the plan's agreed scope.

In plain words
What is it for?
Use it after planning is approved, to implement one slice at a time, run its verification commands, and stop or continue based on checkpoints and results.
Why use it?
It preserves the intended product scope and verifies each completed slice before continuing. It can choose between direct implementation and delegated work when the plan allows it.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it after planning is approved, to implement one slice at a time, run its verification commands, and stop or continue based on checkpoints and results.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/appautomaton/automaton/auto-execute
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 appautomaton/automaton --skill auto-execute
Clone the repo
git clone --depth 1 https://github.com/appautomaton/automaton

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 auto-execute

README.md
[![agentmods](https://agentmods.dev/badge/skills/appautomaton/automaton/auto-execute/github.svg)](https://agentmods.dev/skills/appautomaton/automaton/auto-execute)
Your own site
<a href="https://agentmods.dev/skills/appautomaton/automaton/auto-execute"><img src="https://agentmods.dev/badge/skills/appautomaton/automaton/auto-execute/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 auto-execute

Your own site · 80×15
<a href="https://agentmods.dev/skills/appautomaton/automaton/auto-execute"><img src="https://agentmods.dev/badge/skills/appautomaton/automaton/auto-execute.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,763 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 warn 7 Sept 2026
SkillSpector: 4 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 2
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 8
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 16
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 132
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00017 $0.02763
Opus 5.5 $0.00007 $0.01105
Sonnet 5.5 $0.00003 $0.00553
Haiku 4.5 $0.00002 $0.00276

Measured 1mo ago against content hash 6687b3e64c43, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

auto-execute 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 1mo 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/auto-execute/SKILL.md · 162 lines

How it starts

The opening of the file, as written. The whole thing — 162 lines — stays where its author put it; the contents beside it link to each section on GitHub.

auto-execute

Implementation controller. Executes approved plan slices without reopening product scope.

First action: run node .agent/.automaton/scripts/get-context.mjs from the project root.

Preamble

auto-execute owns execute-stage orchestration, route selection, state, and scope. Direct implementation and subagent implementation are two routes inside this skill. It does not reopen product scope or modify the approved plan's intent. Execute and verify one approved slice at a time inside the selected execution window. Plan-declared parallel-safe groups are the one exception to that serial order. Continuation is the default after a verified slice; checkpoints and STOP conditions are the exceptions. An execution window is a context-management batch, not a completion boundary.

Loading discipline: keep the active slice, execution-window metadata, acceptance criteria, route metadata, verification commands, and active files in context. Load linked detail files and traceability IDs for the active slice only; read wider project files only when implementation correctness requires it. Read .agent/.automaton/references/CONTEXT-BUDGET.md when wider reads threaten context pressure. When a lookup would otherwise pull wide reads into context, dispatch the read-only automaton-librarian (see .agent/.automaton/references/LIBRARIAN.md): it returns evidence, you keep the decision.

Quality Gate

Before marking a slice complete:

  • Keep edits inside the active slice.
  • Investigate root cause before fixing bugs. Read references/debug-protocol.md only when bounded diagnosis needs more structure.
  • Record verification evidence before advancing or selecting the next slice.
  • Read references/quality.md when the diff looks clever, defensive, or broader than the plan requires.

Do

Do NOT write code unless:

  • PLAN.md is approved and canonical_plan in .agent/.automaton/state/current.json is set.
  • canonical_spec still resolves: the spec chain holds end to end so cold resume can always load spec first.
  • The next executable slice has an objective, acceptance criteria, and verification command.
  • engineering_review is not needs_correction (otherwise stop and return to auto-plan).
  • The route is direct, or the subagent route has passed its host capability check.

Read the full file on GitHub · 162 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. 1mo ago First seen · 162 lines · 17 tokens per session scan A 6687b3e64c43

Subscribe to this mod's changes

auto-execute is a skill published in the GitHub repository appautomaton/automaton (24 stars, last pushed 1mo ago), licensed MIT. It adds 17 tokens to every session and 2,763 once invoked, about $0.0001 per session on Opus 5.5. 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.