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.
npx skills add figitaki/reviews --skill writing-review-packetsgit clone --depth 1 https://github.com/figitaki/reviewsWrote 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.
[](https://agentmods.dev/skills/figitaki/reviews/writing-review-packets)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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
- Inspect the diff with
git diffor the intended CLI range. - Identify logical review areas: persistence/schema, read model, LiveView state, rendering, styling, tests, tooling.
- Prefer stable section titles if updating an existing packet and you want approvals to inherit.
- 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. - Use
###subheadings sparingly, only when a section truly needs scan landmarks; do not add a stock technical-overview subsection to every section. - Add interwoven hunk comments before hunks when they help the reader understand the surrounding code and how the local change supports the section overview.
- 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.
- 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.
- Keep section decisions independent from hunk viewed progress in wording.
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.
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.
- 20d ago Changed · +2 lines 8b4c15adf85c
- 2mo ago First seen · 143 lines · 82 tokens per session scan A 204a484bd393
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.
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