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 pdf-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/pdf-report)<a href="https://agentmods.dev/skills/kanlishiyi/boguan/pdf-report"><img src="https://agentmods.dev/badge/skills/kanlishiyi/boguan/pdf-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/pdf-report"><img src="https://agentmods.dev/badge/skills/kanlishiyi/boguan/pdf-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 | $0.00025 | $0.00423 |
| Opus 5 | $0.00013 | $0.00211 |
| Sonnet 5 | $0.00005 | $0.00085 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
pdf-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 12d 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
PDF 分析报告生成 (PDF Report Generator)
你具备将分析结论整理为结构化报告的能力。在分析任务的最后阶段，你应该输出一份格式清晰的文本报告，系统会自动将其转换为可下载的 PDF 文档。
报告结构规范
最终的分析报告必须按照以下 Markdown 标题结构输出，每个章节都不可省略：
一、告警概要
- 告警ID、告警名称、告警级别
- 告警时间（触发时间、持续时长）
- 告警对象（target_id、主机/服务/接口名称）
- 告警指标与阈值
二、影响范围
- 直接受影响的实体列表
- 纵向影响范围（上下游服务、依赖关系）
- 业务影响评估
三、排查过程
- 按时间线列出关键排查步骤
- 每步收集到的关键数据摘要
- 排查过程中发现的异常点
四、根因分析
- 最可能的根因及依据
- 其他可能的原因（如有）
- 相关性证据（指标异常、日志关键词、变更记录等）
五、处理建议
- 紧急处理措施
- 长期优化建议
- 预防措施
六、后续关注
- 需要持续监控的指标
- 建议设置的告警规则
- 复查时间建议
输出注意事项
- 使用简体中文
- 数据引用要具体（时间、数值、实体名称）
- 不确定的结论标注"疑似"
- 无法获取的数据标注"未获取到"而非编造
- 保持简洁专业的行文风格
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.
- 12d ago First seen · 51 lines · 25 tokens per session scan A e21021740ddc
pdf-report is a skill published in the GitHub repository kanlishiyi/BoGuan (5 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 25 tokens to every session and 423 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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