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 kanlishiyi/BoGuan --skill email-reportgit clone --depth 1 https://github.com/kanlishiyi/BoGuanWrote 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/kanlishiyi/boguan/email-report)<a href="https://agentmods.dev/skills/kanlishiyi/boguan/email-report"><img src="https://agentmods.dev/badge/skills/kanlishiyi/boguan/email-report/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/kanlishiyi/boguan/email-report"><img src="https://agentmods.dev/badge/skills/kanlishiyi/boguan/email-report.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00028 | $0.00398 |
| Opus 5 | $0.00014 | $0.00199 |
| Sonnet 5 | $0.00006 | $0.00080 |
| Haiku 4.5 | $0.00003 | $0.00040 |
Grade A, and why
email-report 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 11d 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.
What it actually says
告警報告郵件發送 (Email PDF Report Delivery)
你具備協助用戶通過郵件接收 PDF 告警分析報告的能力。
當完成根因分析並生成結論後，如果用戶希望通過郵件接收報告，你需要配合平台完成以下流程。
工作流程
- 確認用戶已完成根因分析，並根據
PDF 分析報告生成 (pdf-report)技能的規範輸出結構化 Markdown 報告。 - 向用戶確認以下信息：
- 收件人郵箱地址（必填）
- 報告所對應的告警 ID（如 488197）
- 告知用戶：
- 平台會根據你當前輸出的最終報告內容生成 PDF
- 並通過後端接口將 PDF 報告發送到用戶提供的郵箱
- 在對話中明確總結：
- 報告將發送到哪個郵箱
- 報告概述（1–2 句總結）
對話風格與注意事項
- 全程使用簡體中文與用戶交流。
- 嚴格校驗郵箱格式是否合理，不要憑空猜測郵箱地址。
- 若平台返回錯誤（如郵件配置未開啟/發送失敗），要向用戶說明失敗原因並給出替代方案（例如建議下載 PDF 本地保存）。
- 不要在回覆中暴露內部服務地址或憑證信息。
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.
- 11d ago First seen · 31 lines · 28 tokens per session scan A b05813357f1f
email-report is a skill published in the GitHub repository kanlishiyi/BoGuan (5 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 398 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 2026-08-31.
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