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/dyoshikawa/rulesync/explain-prnpx skills add dyoshikawa/rulesync --skill explain-prgit clone --depth 1 https://github.com/dyoshikawa/rulesyncWhat 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 | $0.00015 | $0.00189 |
| Opus 5 | $0.00008 | $0.00095 |
| Sonnet 5 | $0.00003 | $0.00038 |
| Haiku 4.5 | $0.00002 | $0.00019 |
Grade A, and why
explain-pr 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 yesterday.
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
target_pr = the user's request
If target_pr is not provided, use the PR of the current branch.
Step 1: Gather PR Information
Run the following in parallel:
- Get the PR description and metadata:
gh pr view <pr_number> - Get the PR diff:
gh pr diff <pr_number>
Step 2: Analyze and Explain
Based on the PR content, explain the following two aspects:
- Background (Problem/Motivation): What issue or limitation existed before this PR? Why was this change needed?
- Solution: What approach does this PR take to address the problem? Summarize the key changes and design decisions.
Keep the explanation concise and focused. Use the language of the current conversation (follow the user's language).
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.
- yesterday First seen · 27 lines · 15 tokens per session scan A 7bf3ab67b8cc
explain-pr is a skill published in the GitHub repository dyoshikawa/rulesync (1,362 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 189 once invoked, about $0.0001 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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