review

review is a skill for Claude Code from genkovich/sdd. It costs 140 tokens per session (1,916 once invoked), scanned A, original, MIT.

An independent code-review process that checks an implemented feature against its specification and acceptance criteria before release. A reviewer who did not write the change examines the complete implementation and its tests.

In plain words
What is it for?
Use it to review a feature branch or working diff after implementation, verify every acceptance criterion, and decide whether the change is ready to ship.
Why use it?
A feature can pass individual task checks while still missing requirements or fitting poorly with the rest of the code. An independent review provides a final cross-cutting decision about readiness.

Skill for Claude Code

Written for Claude Code: effort in frontmatter. Also seen: model in frontmatter; mentions subagents; names the AskUserQuestion tool.

Part of the sdd plugin — 23 skills, 10 agents shipped together

Good fit Use it to review a feature branch or working diff after implementation, verify every acceptance criterion, and decide whether the change is ready to ship.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/genkovich/sdd/review
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.

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

Made for: Claude Code.

Or install sdd, the plugin that ships this one along with the rest of its 23 skills, 10 agents.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/genkovich/sdd/review.svg)](https://agentmods.dev/skills/genkovich/sdd/review)
Your own site
<a href="https://agentmods.dev/skills/genkovich/sdd/review"><img src="https://agentmods.dev/badge/skills/genkovich/sdd/review.svg" alt="Measured on agentmods" height="20"></a>
Per session 140 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,916 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00140 $0.01916
Opus 5 $0.00070 $0.00958
Sonnet 5 $0.00028 $0.00383
Haiku 4.5 $0.00014 $0.00192

Measured 7d ago against content hash 5f09a4b781db, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, 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 7d 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.

skills/review/SKILL.md · 64 lines

How it starts

The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: review

The independent review gate. After implement has written + tested + committed the code, review looks at the whole change at once, with fresh eyes — does it actually satisfy every acceptance criterion, and is it good code? This is distinct from the per-task gate inside implement (which proves each task green): review is the cross-cutting, clean-context pass a human reviewer would do on the PR.

It reuses the shared clean-context discipline (../_shared/critic.md) and the reviewer subagent (read-only). Question phrasing per ../_shared/ask-style.md.

Review-record prose follows artifact_language (carry the language in the reviewer's dispatch prompt) — the verdict literals PASS / CHANGES REQUESTED / REVIEW_CLEAN and cited identifiers stay English → ../_shared/artifact-language.md.

Owner

Tech Lead / a reviewer who did not write the code (independence is the point).

Inputs

  • <slug> — feature slug.
  • Gate (hard refuse): an implemented change must exist (commits on the feature branch, or a non-empty working diff). Nothing to review → «run implement <slug> first».
  • Read for the review baseline — the whole AC chain, so the trace can be checked end-to-end: docs/features/<slug>/spec.md §5 (the full AC set — the source of truth, not the diff's trailers), sad.md §6 (the sequence flows/branches each AC should appear in), data-model.md / contracts/openapi.yaml / Accepted adr/ (the contracts the code must honour), test-plan.md (the AC→test map, if a separate file), and tasks.json (which AC each task claimed).

Protocol

  1. Scope the diff. Determine the change under review: git diff <base>..HEAD on the feature branch (base = the branch point), or the named changed files. Note the SDD-AC trailers — the ACs the implementation claims to satisfy.
  2. Dispatch the independent reviewer. Run the reviewer agent — subagent_type: "sdd:reviewer" (read-only, clean context — it re-reads spec/contracts itself, no paraphrase; model per judgment_model; effort xhigh on L/XL via CLAUDE_CODE_EFFORT_LEVEL, per ../_shared/agent-roster.md) — over the diff along the dimensions in ./references/review-dimensions.md: stage 1 — every claimed AC genuinely satisfied and the whole §4 user-story set + §5 AC set traced end-to-end (spec → sequences §6 → data-model → api → tasks → implement): every §4 user story has ≥1 AC and a §6 flow, and every §5 AC reaches code+test — spanning every surface declared in sad.md target_surfaces (a UI AC traces to a component / e2e-through-UI test, not only a backend one) — flagging any user story or AC that dropped out anywhere in the chain, not only the ACs the diff claims via its SDD-AC trailers; stage 2 — conventions, error/edge handling, security, boundary violations, test adequacy. For a large diff, fan out one reviewer per dimension and merge.
  3. Collect cited findings. Each finding cites file:line + the AC/contract it touches. Drop uncited findings (per the critic discipline). A clean review returns REVIEW_CLEAN. If the reviewer ran asynchronously and came back as an idle/completion signal with no report, pull the full report through the host's messaging channel — never accept a verdict without its text (→ ../_shared/agent-roster.md, shared-contract point 2).
  4. Resolve each finding with the user via AskUserQuestion: Fix now (hand the actionable finding back to implement/the author as a follow-up task — re-enter the TDD loop for it) / Defer (record in spec §8 Open questions with owner + due) / Not an issue (the reviewer misread; record why). Never ship an unresolved stage-1 (AC) finding.
  5. Write the review record. docs/features/<slug>/_review/review-<date>.md: scope (diff stat), findings with verdicts, and the gate result (PASS / CHANGES REQUESTED).
  6. Verdict + next. Then emit the stage-handoff block per ../_shared/handoff.mdWhat I did + Review (_review/review-<date>.md) + Run next: PASS → (/clear, then /sdd:ship <slug>); CHANGES REQUESTED/sdd:implement <slug> for the fixes (no /clear — stay in context to iterate), then re-review the changed surface.

Read the full file on GitHub · 64 lines

Files

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.

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. 7d ago First seen · 64 lines · 140 tokens per session scan A 5f09a4b781db

Subscribe to this mod's changes

review is a skill published in the GitHub repository genkovich/sdd (133 stars, last pushed 2d ago), licensed MIT. It adds 140 tokens to every session and 1,916 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.