review

A code-review workflow for checking an existing branch, pull request, or code difference against its requirements and tests. It uses separate reviewers who did not write the code.

In plain words
What is it for?
It is for reviewing completed coding work before it is considered ready, with separate checks for correctness, security, and test quality.
Why use it?
It helps reveal missed requirements, security problems, incorrect behavior, and tests that would still pass after the change was removed.

Skill for Claude CodeCodex

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/romerma/mstack/review
Any agent
npx skills add romerma/mstack --skill review
Clone the repo
git clone --depth 1 https://github.com/romerma/mstack

Made for: Claude Code, Codex.

Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 792 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 $0.00049 $0.00792
Opus 5 $0.00024 $0.00396
Sonnet 5 $0.00010 $0.00158
Haiku 4.5 $0.00005 $0.00079

Measured yesterday against content hash 44bb854fac95, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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/review/SKILL.md · 56 lines

What it actually says

Review

The reviewer did not write the code. If that is not true, stop: fetch someone who did not.

  1. Establish scope. git diff <base>...HEAD, and the list of files it touches.

  2. Allocate the paths before launching anything:

    mstack fanout plan --kind review --worker correctness --worker security --worker tests
    

    Give each reviewer the path it prints, and nothing else. Two reviewers handed one filename overwrite each other silently, which is the failure this command exists to prevent.

  3. Launch them in parallel, each with the full diff and a distinct lens. Give different lenses to different models where you can: models differ in blind spots, and agreement across models is signal in a way agreement across two runs of one model is not.

    • correctness and requirement coverage
    • security and failure paths
    • the tests themselves: would any of them fail if the change were reverted? Skip a lens that has nothing to review, and note that you skipped it.
  4. When they return, mstack fanout check --kind review --worker ... with the same workers as the plan, minus any lens you skipped. It names the ones that did not write a report. A reply is not evidence; act on the file or re-run the worker.

  5. mstack:reviewer runs the verification itself. The implementer's pasted output is not a substitute; the whole value of a second pass is that it does not inherit the first pass's assumptions.

  6. Quote each acceptance bullet and answer it individually with evidence. An aggregate "all criteria met" is not a review.

  7. mstack ledger check <slug> at the current head SHA. A verdict against an older SHA does not carry over.

  8. Synthesize into one verdict: APPROVED or CHANGES_REQUESTED, then the findings ordered by severity, each with a file:line. A finding without a location is a feeling.

  9. One ledger row per review round, typed by the pass that formed the verdict it carries:

    • A lone mstack:reviewer records its own row (--verifier reviewer) before returning. Confirm the row exists with mstack ledger check <slug>. If no row exists, the reviewer did not finish its contract: re-run the reviewer, and do not type the row on its behalf.
    • After a panel, the lenses have recorded nothing, so record the synthesized verdict yourself: mstack ledger record <slug> "$(git rev-parse HEAD)" <verdict> --evidence <the lens reports> --verifier <your own role, never reviewer>. One row, not one per lens: the ledger keeps the best row per (target, sha), and a split panel means its worst lens, not its best.

    Either way the mapping is fixed: APPROVED records the rung the verification reached, CHANGES_REQUESTED records verifier-failed, and a verification nobody could run records verifier-blocked. A verifier-failed row is the typed record of the rejection, carrying the report as its evidence; it is not itself a gate.

Reply: the verdict, and the findings that changed the outcome.

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. yesterday First seen · 56 lines · 49 tokens per session scan A 44bb854fac95

Subscribe to this mod's changes

review is a skill published in the GitHub repository romerma/mstack (1 stars, last pushed 8d ago), licensed MIT. It adds 49 tokens to every session and 792 once invoked, about $0.0002 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 2026-08-31.

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