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 agentmods add skills/i9wa4/dotfiles/create-review-commentnpx skills add i9wa4/dotfiles --skill create-review-commentgit clone --depth 1 https://github.com/i9wa4/dotfilesWrote 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/i9wa4/dotfiles/create-review-comment)<a href="https://agentmods.dev/skills/i9wa4/dotfiles/create-review-comment"><img src="https://agentmods.dev/badge/skills/i9wa4/dotfiles/create-review-comment.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00064 | $0.00384 |
| Opus 5 | $0.00032 | $0.00192 |
| Sonnet 5 | $0.00013 | $0.00077 |
| Haiku 4.5 | $0.00006 | $0.00038 |
Grade A, and why
create-review-comment 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 today.
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.
What it actually says
Create Review Comment
User-facing trigger for drafting Japanese GitHub PR review comments.
$create-review-comment, $create-review-comment #123, and
ai-create-review-comment for this branch all start target inference and
drafting.
Owns target inference, Japanese draft output, and the no-post-without-approval
gate. Review procedure belongs to subagent-review; GitHub mechanics and path
hygiene belong to dev-platform-workflow. In tmux-a2a-postman,
orchestrator/worker only infer targets and collect PR context before routing
substantive review to guardian.
1. Workflow
- Infer the target PR from the prompt, current branch, or GitHub context. If missing or ambiguous, ask only for the minimum target identifier.
- Read Workflow before changing behavior or giving detailed instructions.
- For substantive drafting, use
subagent-reviewthrough postman: send the review package to guardian, let guardian request critic, and never launch reviewer subagents from orchestrator/worker. Do not ask the user for review mechanics. - Run the checks named in the workflow guide or the nearest repo harness.
- Output draft comments visibly for user approval. Do not post them unless the user explicitly asks.
2. References
What ships with it
4 files 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.
- today Changed c987b98420dc
- 6d ago First seen · 40 lines · 64 tokens per session scan A 97eaff9bffb3
create-review-comment is a skill published in the GitHub repository i9wa4/dotfiles (11 stars, last pushed today), licensed MIT. It adds 64 tokens to every session and 384 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 2026-08-30.
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