human-review

human-review is a skill for Claude Code, Codex from petergyang/human-review. It costs 73 tokens per session (1,405 once invoked), scanned A, original, MIT.

A browser-based review workflow for HTML, Markdown, and local web pages. It lets a user edit text directly, select passages, leave comments, and send the collected feedback back for application to the source.

In plain words
What is it for?
Use it to review specifications, plans, reports, newsletters, landing pages, slide decks, or a running local route before making final edits.
Why use it?
It gives written work a review process with comments tied to the exact displayed text, while keeping Markdown formatting in the original file.

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

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 human-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/petergyang/human-review/src.svg)](https://agentmods.dev/skills/petergyang/human-review/src)
Your own site
<a href="https://agentmods.dev/skills/petergyang/human-review/src"><img src="https://agentmods.dev/badge/skills/petergyang/human-review/src.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,405 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 $0.00073 $0.01405
Opus 5 $0.00036 $0.00702
Sonnet 5 $0.00015 $0.00281
Haiku 4.5 $0.00007 $0.00140

Measured 4d ago against content hash 010c2fda6356, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

human-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 4d ago.

The scan reads SKILL.md. This mod also ships 16 executable files (anchor-text.js, chrome-client.js, chrome-session.js, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

src/SKILL.md · 138 lines

How it starts

The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.

human-review

The user reviews your HTML, Markdown, or localhost page in a real browser: they fix small things by typing, select anything to comment on it, and send you the whole batch at once.

Markdown files open rendered. Their quotes and edits reference the rendered text, and the file itself is never touched — apply every change to the Markdown source, keeping its formatting syntax.

The loop

  1. Write or update the HTML or Markdown file, or start the local page being reviewed.

  2. Open it for the user:

    npx -y human-review path/to/file.html
    

    For a page served by a local development server, open the real route instead of recreating it as a separate HTML file:

    npx -y human-review http://localhost:3000/wiki
    
  3. Wait for feedback. This blocks until they hit Send, or the timeout passes:

    npx -y human-review poll path/to/file.html --timeout 600
    

    Keep this command in the foreground. Do not end your turn while it is waiting. If your shell returns a process or session handle, keep waiting on that handle until the command exits. If it prints {"status":"timeout"}, no feedback has arrived yet — run the same poll command again to keep waiting. Feedback is saved even if a poll dies, so nothing is ever lost.

    If it prints {"status":"closed"}, the user ended the review from the browser — stop polling and do not run the poll command again. Unsent feedback is kept and ships the next time this target is reviewed.

  4. Apply what comes back, then wait again. --ack clears the batch you just handled:

    npx -y human-review poll path/to/file.html --ack --timeout 600
    

Repeat 3–4 until the user says they are done.

Not sure whether feedback is already waiting — say, at the start of a new turn? This answers instantly without blocking:

npx -y human-review status path/to/file.html

It prints {"status": "feedback-waiting"} when a batch is ready for a poll, plus counts of unsent comments and edits still in the browser.

Read the full file on GitHub · 138 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. 4d ago First seen · 138 lines · 73 tokens per session scan A 010c2fda6356

Subscribe to this mod's changes

human-review is a skill published in the GitHub repository petergyang/human-review (1,206 stars, last pushed 19d ago), licensed MIT. It adds 73 tokens to every session and 1,405 once invoked, about $0.0004 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.

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