read-and-review

read-and-review is a skill for Claude Code, Codex from Kevin-Liu-01/Agent-Machines. It costs 57 tokens per session (775 once invoked), scanned A, original, MIT.

A workflow that reads an external technical reference, turns its advice into checkable rules, and audits a codebase against those rules.

In plain words
What is it for?
Use it to review code against an RFD, research paper, postmortem, or technical guide and fix the violations it finds.
Why use it?
It helps apply lessons from papers, design documents, blog posts, or documentation to existing code instead of leaving them as notes.

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 code against an RFD, research paper, postmortem, or technical guide and fix the violations it finds.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kevin-liu-01/agent-machines/read-and-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 Kevin-Liu-01/Agent-Machines --skill read-and-review
Clone the repo
git clone --depth 1 https://github.com/Kevin-Liu-01/Agent-Machines

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 read-and-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/read-and-review/github.svg)](https://agentmods.dev/skills/kevin-liu-01/agent-machines/read-and-review)
Your own site
<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/read-and-review"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/read-and-review/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 read-and-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/read-and-review"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/read-and-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 775 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Rogue Agent · line 65
    Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.
    Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 $0.00057 $0.00775
Opus 5 $0.00028 $0.00387
Sonnet 5 $0.00011 $0.00155
Haiku 4.5 $0.00006 $0.00077

Measured 9d ago against content hash 2100f87851f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

read-and-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 9d 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.

knowledge/skills/read-and-review/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Read and Review

When to use

The user shares an external reference (RFD, paper, blog post, library docs, postmortem) and wants its lessons applied to the codebase. The reference contains principles that may reveal latent bugs, missing documentation, or anti-patterns in existing code.

Workflow

1. Read and extract rules

Read the reference thoroughly. Extract a numbered list of concrete, testable rules. Each rule should be:

  • Falsifiable: you can check whether code violates it
  • Scoped: applies to a specific pattern, not "write good code"
  • Actionable: a violation has a known fix

Example from Oxide RFD 397:

  1. Never hold tokio::sync::Mutex across .await
  2. Document cancellation-safety contracts on async functions
  3. tokio::time::timeout does not cancel the server, only the client
  4. try_join! cancels remaining futures when any one fails

2. Dispatch audit subagents

Send parallel subagents to search the codebase for violations:

  • Code reviewer subagent: review recently changed files against the extracted rules. Report findings with severity levels.
  • Explorer subagent: search the broader codebase for the specific patterns the rules warn about (e.g., tokio::sync::Mutex, tokio::select!, try_join!). Report each occurrence with file path, line numbers, and whether it's safe or a violation.

3. Triage findings

Classify each finding:

  • Must fix: violates the rule and can cause data corruption, state desync, or silent failure
  • Should fix: violates the rule but impact is bounded (e.g., test flakiness, misleading error variant)
  • Document: the code is correct but the reason it's safe is not obvious; add a comment explaining why
  • Not applicable: the pattern is present but the rule doesn't apply (e.g., timeout around a stateless probe is fine)

4. Fix violations

Fix must-fix and should-fix items. For each fix:

  • Make the minimal change that resolves the violation
  • Add or update documentation explaining the safety argument
  • Run tests to confirm no regressions

Read the full file on GitHub · 90 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. 9d ago First seen · 90 lines · 57 tokens per session scan A 2100f87851f2

Subscribe to this mod's changes

read-and-review is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed yesterday), licensed MIT. It adds 57 tokens to every session and 775 once invoked, about $0.0003 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 2026-09-03.

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