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.
npx skills add eliasstravik/skills --skill automakegit clone --depth 1 https://github.com/eliasstravik/skillsWrote 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.
[](https://agentmods.dev/skills/eliasstravik/skills/automake)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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
- Inspect the full conversation and repository, resolving every Optimizer, Evaluator, and run input as supplied, safely inferable, defaultable, or missing.
- 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.
- Otherwise ask one missing Optimizer input per turn until its Goal is concrete, without repeating known facts or asking about run limits.
- 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 exactly1. Approved (Recommended)and2. No — changes needed. - Ask one missing Evaluator input when needed.
- 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. - Resolve iterations, consecutive-failure limit, and observable success condition from supplied values or defaults.
- Present the complete run gate in this order:
**Ready to run Automake?**, the resolved summary, then exactly1. Run (Recommended)and2. No — changes needed. - 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.
- 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.
- 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.
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.
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.
- 12d ago First seen · 29 lines · 149 tokens per session scan A e7117630d9e7
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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