review-implementation

review-implementation is a skill for Claude Code, Codex from dosatos/minimise. It costs 142 tokens per session (1,857 once invoked), scanned A, original, MIT.

A review skill that compares completed code changes with the plan they were meant to implement. It gives advice about gaps or problems but does not stop the job.

In plain words
What is it for?
Checking a job's Git changes against a YAML plan, either for selected tasks or for the whole completed job.
Why use it?
It helps identify work that does not match the agreed plan before a human reviews the result.

Skill for Claude CodeCodex

Part of the minimise plugin — 6 skills, 3 commands shipped together

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.

agentmods
npx agentmods add skills/dosatos/minimise/review-implementation
Any agent
npx skills add dosatos/minimise --skill review-implementation
Clone the repo
git clone --depth 1 https://github.com/dosatos/minimise

Made for: Claude Code, Codex.

Or install minimise, the plugin that ships this one along with the rest of its 6 skills, 3 commands.

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 review-implementation

README.md
[![agentmods](https://agentmods.dev/badge/skills/dosatos/minimise/review-implementation.svg)](https://agentmods.dev/skills/dosatos/minimise/review-implementation)
Your own site
<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>
Per session 142 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,857 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00142 $0.01857
Opus 5 $0.00071 $0.00928
Sonnet 5 $0.00028 $0.00371
Haiku 4.5 $0.00014 $0.00186

Measured 5d ago against content hash 1d776670311e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

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.

assets/claude/skills/review-implementation/SKILL.md · 158 lines

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

Read the full file on GitHub · 158 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. 5d ago First seen · 158 lines · 142 tokens per session scan A 1d776670311e

Subscribe to this mod's changes

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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