reviewing

reviewing is a skill for Claude Code from LucasDuys/forge. It costs 19 tokens per session (1,727 once invoked), scanned A, original, MIT.

A two-pass review process for checking completed code against its specification and quality requirements. It requires reading the changed files and comparing them with each acceptance criterion.

In plain words
What is it for?
Use it after implementation and passing tests to review a task, its specification requirements, acceptance criteria, and modified files.
Why use it?
It helps catch code that appears finished but does not actually satisfy the requested behavior. It separates requirement checking from broader code-quality review.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions Claude Code.

Part of the forge plugin — 10 skills, 13 commands, 9 agents, 3 hooks shipped together

Good fit Use it after implementation and passing tests to review a task, its specification requirements, acceptance criteria, and modified files.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lucasduys/forge/reviewing
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 LucasDuys/forge --skill reviewing
Clone the repo
git clone --depth 1 https://github.com/LucasDuys/forge

Made for: Claude Code.

Or install forge, the plugin that ships this one along with the rest of its 10 skills, 13 commands, 9 agents, 3 hooks.

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 reviewing

README.md
[![agentmods](https://agentmods.dev/badge/skills/lucasduys/forge/reviewing/github.svg)](https://agentmods.dev/skills/lucasduys/forge/reviewing)
Your own site
<a href="https://agentmods.dev/skills/lucasduys/forge/reviewing"><img src="https://agentmods.dev/badge/skills/lucasduys/forge/reviewing/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.

agentmods 80×15 button for reviewing

Your own site · 80×15
<a href="https://agentmods.dev/skills/lucasduys/forge/reviewing"><img src="https://agentmods.dev/badge/skills/lucasduys/forge/reviewing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,727 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 $0.00019 $0.01727
Opus 5.5 $0.00008 $0.00691
Sonnet 5.5 $0.00004 $0.00345
Haiku 4.5 $0.00002 $0.00173

Measured 1mo ago against content hash 3ec5eff1d320, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

reviewing 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 1mo 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/reviewing/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reviewing Skill

This skill defines the two-pass review workflow that validates implementation quality before a task is marked complete. It is dispatched after a task is implemented and tests pass (at depth >= standard).

Inputs

You will receive:

  • Implemented code: The files created or modified by the executor for this task
  • Spec requirements: The R-numbered requirements and acceptance criteria this task must satisfy
  • Task definition: From the frontier file, including task name, dependencies, and repo
  • Review iteration: Which review pass this is (1, 2, or 3)

Two-Pass Review Workflow

Pass 1: Spec Compliance Review (mandatory for depth >= standard)

This is the primary review pass. It verifies that the implementation actually satisfies the spec.

Procedure:

  1. Read the actual code. Do NOT trust the implementer's report or summary. Open every file that was created or modified and read it.
  2. List every acceptance criterion from the spec requirements assigned to this task.
  3. Check each criterion against the code:
    • Is there code that implements this criterion?
    • Does the implementation match what the criterion specifies (not just approximate it)?
    • Is the criterion fully satisfied, or only partially?
  4. Flag missing implementations — acceptance criteria with no corresponding code.
  5. Flag extra features — code that goes beyond what the spec requires. Over-engineering wastes tokens and introduces unnecessary complexity. If the spec says "return 201 with {id, email}", the code should not also return created_at, updated_at, and role unless the spec asks for them.
  6. Flag misunderstandings — code that implements something different from what the criterion describes. Example: spec says "hash with bcrypt (min 12 rounds)" but code uses SHA-256.

Output for Pass 1:

## Spec Compliance

STATUS: PASS | ISSUES

CHECKED CRITERIA:
- [x] R001/AC1: POST /auth/register accepts {email, password} — implemented in src/controllers/auth.ts:45
- [ ] R001/AC2: Password hashed with bcrypt (min 12 rounds) — MISSING, no hashing found
- [x] R001/AC3: Returns 201 with JWT + refresh token — implemented in src/controllers/auth.ts:67

ISSUES (if any):
- [CRITICAL] src/controllers/auth.ts — R001/AC2: No password hashing implemented. Raw password stored directly.
- [IMPORTANT] src/controllers/auth.ts:67 — Returns extra fields (created_at, role) not in spec. Over-engineering.

Read the full file on GitHub · 140 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. 1mo ago First seen · 140 lines · 19 tokens per session scan A 3ec5eff1d320

Subscribe to this mod's changes

reviewing is a skill published in the GitHub repository LucasDuys/forge (56 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 1,727 once invoked, about $0.0001 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 2026-08-30.

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