automake

automake is a skill for Claude Code, Codex from eliasstravik/skills. It costs 149 tokens per session (783 once invoked), scanned A, original, MIT.

A Git-based process for improving a code repository through separate proposing and checking roles. It compares changes with the current committed version and keeps or restores them based on the result.

In plain words
What is it for?
Use it to set a starting point, test improvement candidates, compare results independently, accept successful changes, and undo rejected ones.
Why use it?
It separates making a change from judging it, reducing the risk of accepting an improvement that does not actually help.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit Use it to set a starting point, test improvement candidates, compare results independently, accept successful changes, and undo rejected ones.

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

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 automake

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/eliasstravik/skills/automake"><img src="https://agentmods.dev/badge/skills/eliasstravik/skills/automake.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 149 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 783 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.
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 $0.00149 $0.00783
Opus 5 $0.00075 $0.00392
Sonnet 5 $0.00030 $0.00157
Haiku 4.5 $0.00015 $0.00078

Measured 12d ago against content hash e7117630d9e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

automake 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 12d 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/automake/SKILL.md · 29 lines

How it starts

The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Automake

Recipe

  1. Inspect the full conversation and repository, resolving every Optimizer, Evaluator, and run input as supplied, safely inferable, defaultable, or missing.
  2. Treat only a clear request to start the Automake ratchet now as run-now intent, resolving every missing input safely and skipping all questions and approvals.
  3. Otherwise ask one missing Optimizer input per turn until its Goal is concrete, without repeating known facts or asking about run limits.
  4. Present the complete Optimizer approval block in this order: **Approve this Optimizer instruction?**, the Goal, smallest candidate scope, constraints, cheap checks, and repository context without evaluation criteria, then exactly 1. Approved (Recommended) and 2. No — changes needed.
  5. Ask one missing Evaluator input when needed.
  6. Present the complete Evaluator approval block in the same order: **Approve this Evaluator instruction?**, its independent Goal, BETTER rule, task-shaped evidence, exact verdict format, complexity cost, and candidate-gate policy, then the same two choices.
  7. Resolve iterations, consecutive-failure limit, and observable success condition from supplied values or defaults.
  8. Present the complete run gate in this order: **Ready to run Automake?**, the resolved summary, then exactly 1. Run (Recommended) and 2. No — changes needed.
  9. On run approval, establish a clean committed Git baseline automatically, excluding likely local secrets without reading or committing them, and create one run-local Automake state directory.
  10. Run one fresh write-bounded Optimizer and one fresh read-only Evaluator per candidate without crossing their instructions, accepting only a parseable evidence-backed BETTER verdict.
  11. Ratchet accepted commits forward, restore every rejection exactly, and record every launch, attempt, result, evaluation or rejection, learning, state transition, final kept commit, and stop reason.

Details

  • Never invoke AskUserQuestion; ask every user question directly with a clear bold question first, any necessary context below it, then 2–4 numbered concrete options whose first option is the recommendation and ends with (Recommended); accept free-form replies and ask nothing else in that turn.
  • Default to 5 iterations, 3 consecutive failures, and no success condition; use an early stop only when the user supplied an observable condition distinct from BETTER.
  • Begin the final normal-path gate with **Ready to run Automake?**, put the Optimizer, Evaluator, Orchestrator, and accept-or-restore summary below it, then print the two Recipe choices.
  • Treat the Automake directory only as ratchet data: never export it as AUTOMAKE_HOME, CODEX_HOME, or another tool home, never inspect unrelated processes, and delete run-local launch scratch before reporting.
  • Before any approved or run-now execution, read and follow the execution protocol; it defines the only state files, role ownership, conservative transitions, exact verdict, and terminal report.

Read the full file on GitHub · 29 lines

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. 12d ago First seen · 29 lines · 149 tokens per session scan A e7117630d9e7

Subscribe to this mod's changes

automake is a skill published in the GitHub repository eliasstravik/skills (20 stars, last pushed 16d ago), licensed MIT. It adds 149 tokens to every session and 783 once invoked, about $0.0007 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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