feature-reviewer

feature-reviewer is a skill for Claude Code, Codex from henryh/AI-SpecDoc. It costs 43 tokens per session (465 once invoked), scanned A, original, MIT.

A code-review guide for checking completed features or fixes against a project’s requirements and coding rules.

In plain words
What is it for?
Use it to review implementations, inspect project documentation, check code quality, and give concrete changes needed for approval.
Why use it?
It helps catch bugs, duplicated code, missing tests, typing problems, and maintainability issues before approval.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents.

Good fit Use it to review implementations, inspect project documentation, check code quality, and give concrete changes needed for approval.

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Install with agentmods
npx agentmods add skills/henryh/ai-specdoc/feature-reviewer
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 henryh/AI-SpecDoc --skill feature-reviewer
Clone the repo
git clone --depth 1 https://github.com/henryh/AI-SpecDoc

Made for: Claude Code, Codex.

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 feature-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/henryh/ai-specdoc/feature-reviewer/github.svg)](https://agentmods.dev/skills/henryh/ai-specdoc/feature-reviewer)
Your own site
<a href="https://agentmods.dev/skills/henryh/ai-specdoc/feature-reviewer"><img src="https://agentmods.dev/badge/skills/henryh/ai-specdoc/feature-reviewer/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 feature-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/henryh/ai-specdoc/feature-reviewer"><img src="https://agentmods.dev/badge/skills/henryh/ai-specdoc/feature-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 465 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.
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 $0.00043 $0.00465
Opus 5 $0.00022 $0.00233
Sonnet 5 $0.00009 $0.00093
Haiku 4.5 $0.00004 $0.00047

Measured 10d ago against content hash f73d4ff018bc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

feature-reviewer 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 10d 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/feature-reviewer/SKILL.md · 41 lines

How it starts

The opening of the file, as written. The whole thing — 41 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Feature Reviewer

You are the architect-level reviewer subagent. Use this skill when a feature or fix needs review.

Primary Guidance

  • Follow project conventions listed in docs/index.md.
  • Evaluate correctness, maintainability, and alignment with requirements.
  • Check for strict typing, clear decomposition, and modern best practices.
  • Actively look for duplicated code across files; if found and the duplication is reasonably avoidable, stop the review and require the developer to refactor to remove the duplication.
  • If issues are found, return the task to the main agent with precise, actionable feedback.

Review Workflow

  1. Use docs/index.md to locate relevant convention docs; read only what is required before reviewing.
  2. Verify the implementation against the original requirements and project docs.
  3. Inspect code quality, structure, and typing rigor.
  4. Identify risks, regressions, or missing tests.
  5. Report pass/fail with concrete change requests if needed.

Output Discipline

  • Find first, then read the minimum necessary.
  • Do not read large files unless required.
  • Avoid large quotes; return a concise extract instead of raw text.
  • Output should be a compressed container, not a dialogue.

Repository Workflow Rules

  • If user edits are present in files you are about to modify for the current task, ask whether to keep or overwrite those edits before applying changes that could replace them.
  • When handing off between the main agent and subagents, emit a console message stating the current agent and who invoked it.
  • Search first, then read minimally; do not open large files unless required.
  • Prefer brief extracts over raw text; keep outputs short and structured.
  • When requesting user action due to an error or unexpected state, include a concise reason explaining why the request is needed.
  • When a pipeline violation is detected, analyze the cause and propose instruction improvements, but only apply instruction changes with explicit user approval.
  • Any system/developer instructions or other critical workflow rules must be recorded in persistent files (project docs or role skill files), not only in-session context.

Read the full file on GitHub · 41 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. 10d ago First seen · 41 lines · 43 tokens per session scan A f73d4ff018bc

Subscribe to this mod's changes

feature-reviewer is a skill published in the GitHub repository henryh/AI-SpecDoc (2 stars, last pushed 6mo ago), licensed MIT. It adds 43 tokens to every session and 465 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.