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 nicodiansk/turbocharge --skill reviewgit clone --depth 1 https://github.com/nicodiansk/turbochargeWrote 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/nicodiansk/turbocharge/review)<a href="https://agentmods.dev/skills/nicodiansk/turbocharge/review"><img src="https://agentmods.dev/badge/skills/nicodiansk/turbocharge/review/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/nicodiansk/turbocharge/review"><img src="https://agentmods.dev/badge/skills/nicodiansk/turbocharge/review.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 | $0.00049 | $0.01812 |
| Opus 5.5 | $0.00020 | $0.00725 |
| Sonnet 5.5 | $0.00010 | $0.00362 |
| Haiku 4.5 | $0.00005 | $0.00181 |
Grade A, and why
review 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 9d 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 — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Review
Pre-merge review of completed work against the original plan, by one senior reviewer agent. It runs in this session.
When the user opts in, five lens reviewers find defects instead, then verifier agents try to refute each finding, and only what survives is reported as confirmed.
Announce: "Using review to assess this work before merge."
The Iron Law
NO MERGE WITHOUT CODE REVIEW
Context
The plan or requirements being reviewed: $ARGUMENTS
Step 1: Scope the diff
BASE_SHA=$(git merge-base HEAD main 2>/dev/null || git merge-base HEAD develop 2>/dev/null || git merge-base HEAD master 2>/dev/null)
git diff --stat $BASE_SHA..HEAD
git diff --name-only $BASE_SHA..HEAD
- Empty diff: print
Nothing to review: HEAD has no commits beyond <base>.(naming the base branch) and stop. - Uncommitted tracked changes (
git status --porcelain): say in one line that they are not part of this review. - The plan is
$ARGUMENTSwhen it names a file. Otherwise the plan is the description, or none.
Step 2: Pick the reviewer
The swarm is a workflow, and the Workflow tool launches only on the user's opt-in. Opt-in means the user typed /turbocharge:review, or asked in their own words for the swarm, a multi-agent or multi-lens review, or a workflow. This skill reaching you some other way is not an opt-in: you invoked it yourself from a plain request ("check my branch before I merge"), or another skill chained into it.
- Opt-in → Step 3.
- No opt-in → Single reviewer.
Never review inline when an agent can do it. The inline review is only for No agent here.
Step 3: Launch the swarm
Call the Workflow tool with name: "turbocharge:review-swarm" and these args as JSON:
{"base": "<BASE_SHA>", "head": "<HEAD sha>", "files": ["<name-only list>"], "plan": "<plan file path or description>", "context": ["<paths>"], "stat": "<git diff --stat output>"}
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.
- 9d ago Changed · +20 lines · -12 tokens per session fc135df6fc4f
- 10d ago Changed · +34 lines · +28 tokens per session 98cd7a30cab3
- 12d ago Changed · +4 lines f7948a88a4a0
- 13d ago Changed · +1 lines 407dc32880a2
- 1mo ago First seen · 77 lines · 33 tokens per session scan A 8303149c96fd
review is a skill published in the GitHub repository nicodiansk/turbocharge (3 stars, last pushed 7d ago), licensed MIT. It adds 49 tokens to every session and 1,812 once invoked, about $0.0002 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 2026-08-31.
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