writing-review-packets

writing-review-packets is a skill for Codex from figitaki/reviews. It costs 82 tokens per session (1,703 once invoked), scanned A, original, MIT.

A guide for writing Markdown review packets that organize a code change for human reviewers. A packet groups related parts of a diff, explains what to inspect, and points to exact code sections called hunks.

In plain words
What is it for?
Use it to draft or update review packets, organize changes by logical area, add context around code hunks, validate packet references, and push revisions for a new patchset.
Why use it?
It helps reviewers understand the purpose and boundaries of a change without reading a line-by-line restatement of the diff. It also provides the format needed by the Reviews command-line tool.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to draft or update review packets, organize changes by logical area, add context around code hunks, validate packet references, and push revisions for a new patchset.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/figitaki/reviews/writing-review-packets
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 figitaki/reviews --skill writing-review-packets
Clone the repo
git clone --depth 1 https://github.com/figitaki/reviews

Made for: 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 writing-review-packets

README.md
[![agentmods](https://agentmods.dev/badge/skills/figitaki/reviews/writing-review-packets/github.svg)](https://agentmods.dev/skills/figitaki/reviews/writing-review-packets)
Your own site
<a href="https://agentmods.dev/skills/figitaki/reviews/writing-review-packets"><img src="https://agentmods.dev/badge/skills/figitaki/reviews/writing-review-packets/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 writing-review-packets

Your own site · 80×15
<a href="https://agentmods.dev/skills/figitaki/reviews/writing-review-packets"><img src="https://agentmods.dev/badge/skills/figitaki/reviews/writing-review-packets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,703 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 $0.00082 $0.01703
Opus 5.5 $0.00033 $0.00681
Sonnet 5.5 $0.00016 $0.00341
Haiku 4.5 $0.00008 $0.00170

Measured 20d ago against content hash 8b4c15adf85c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

writing-review-packets 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 20d 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/writing-review-packets/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Writing Review Packets

Use this skill when drafting packet markdown for reviews push --packet. A good packet is a reviewer map: it groups related hunks, explains why to look, and avoids rephrasing the diff line-by-line.

Packet Markdown Format

Use one top-level title and ## packet sections:

# Packet Title

Short overview of what the review packet covers.

## Section Title

The first paragraph is the section overview. Use it to explain the reasoning behind this part of the changeset: what problem this section solves, why the files belong together, and what judgment the reviewer should bring to the code. It can be a full paragraph when the change needs that context.

Context before a hunk should connect the local code to that section overview. It can be a short paragraph when useful, especially when the surrounding code shape, dependency order, risk, or intended reviewer attention would otherwise be unclear.

@hunk path/to/file.ex#1

Rules:

  • Start with exactly one # title.
  • Use ## for review packet sections.
  • Prose between hunk refs is allowed and encouraged.
  • Hunk refs use @hunk path#N.
  • Paths and hunk numbers must match the diff being pushed.
  • The first prose paragraph in each section is the section overview shown in the guide rail; write it as durable review reasoning, not as a terse hunk caption.

Writing Method

  1. Inspect the diff with git diff or the intended CLI range.
  2. Identify logical review areas: persistence/schema, read model, LiveView state, rendering, styling, tests, tooling.
  3. Prefer stable section titles if updating an existing packet and you want approvals to inherit.
  4. Put a reasoning-first overview paragraph at the top of each ## section. This first paragraph is the primary guide-rail content, so it should explain why the grouped changes exist and how to review them.
  5. Use ### subheadings sparingly, only when a section truly needs scan landmarks; do not add a stock technical-overview subsection to every section.
  6. Add interwoven hunk comments before hunks when they help the reader understand the surrounding code and how the local change supports the section overview.
  7. Hunk comments no longer need to be ultra-terse. Prefer the shortest useful explanation, but use two to four sentences when needed to carry code context, tradeoffs, dependency order, risk, or review intent.
  8. Avoid hunk comments that restate the diff; explain why this code is shaped this way, what to inspect, or how it relates back to the section's primary overview.
  9. Keep section decisions independent from hunk viewed progress in wording.

Read the full file on GitHub · 145 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. 20d ago Changed · +2 lines 8b4c15adf85c
  2. 2mo ago First seen · 143 lines · 82 tokens per session scan A 204a484bd393

Subscribe to this mod's changes

writing-review-packets is a skill published in the GitHub repository figitaki/reviews (6 stars, last pushed 20d ago), licensed MIT. It adds 82 tokens to every session and 1,703 once invoked, about $0.0003 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 2026-08-31.