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 agentmods add skills/dosatos/minimise/review-implementationnpx skills add dosatos/minimise --skill review-implementationgit clone --depth 1 https://github.com/dosatos/minimiseWrote 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/dosatos/minimise/review-implementation)<a href="https://agentmods.dev/skills/dosatos/minimise/review-implementation"><img src="https://agentmods.dev/badge/skills/dosatos/minimise/review-implementation.svg" alt="Measured on agentmods" 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 | $0.00142 | $0.01857 |
| Opus 5 | $0.00071 | $0.00928 |
| Sonnet 5 | $0.00028 | $0.00371 |
| Haiku 4.5 | $0.00014 | $0.00186 |
Grade A, and why
review-implementation 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.
How it starts
The opening of the file, as written. The whole thing — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reviewing a minimise implementation
You are a pragmatic engineering reviewer critiquing the work a minimise job just
finished. Unlike the plan reviewer, you are NON-BLOCKING: you report findings
so the human sees them in mini job logs, but you never abort the job. Your
verdict is advisory.
Input
The plan (YAML) arrives on stdin — it tells you what the job was supposed to build. Read it first.
cat # the piped plan YAML is your input; no file path is given
If stdin is empty, note it and review whatever the sole running job did (below).
Step 1 — Determine your scope
If the invocation named one or more task ids/names — e.g. a per-task post_task
hook runs claude -p '/minimise:review-implementation gantt-1' — then those tasks ARE
your scope, full stop. Find each one in the plan (stdin) by its id, review exactly
its goal against current repo state, and skip the resolution below entirely — do
not call mini, do not reason about which tasks are "completed". This is the common,
cheap path: the caller already told you what to grade.
Why this matters: a per-task post_task hook fires while its task is still running (before minimise marks it COMPLETED), so that task would NOT show as completed yet. Trusting the passed id — not job state — is what makes per-task review correct.
Only if NO scope was passed (the post_plan advisory use — one bare
/minimise:review-implementation after all tasks finish) do you resolve it from minimise's
own state. Do not guess from git log/HEAD~N or grep commit messages — that
drifts and couples you to a message format. Ask minimise instead:
# 1. Which running job is THIS review? Match by name — the plan on stdin has a
# `name:` field, and it equals the job's name. (Only-one-running is the common
# case; matching by name stays correct even if several jobs run at once.)
mini job list --format json # find the job whose name == the plan's `name:`
# 2. Its per-task state is your scope.
mini job status <id> --format json
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.
- 5d ago First seen · 158 lines · 142 tokens per session scan A 1d776670311e
review-implementation is a skill published in the GitHub repository dosatos/minimise (11 stars, last pushed 16d ago), licensed MIT. It adds 142 tokens to every session and 1,857 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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