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 Asaiuta/reverse-workbench-skill --skill observer-wardgit clone --depth 1 https://github.com/Asaiuta/reverse-workbench-skillWrote 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/asaiuta/reverse-workbench-skill/observer-ward)<a href="https://agentmods.dev/skills/asaiuta/reverse-workbench-skill/observer-ward"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/observer-ward/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/asaiuta/reverse-workbench-skill/observer-ward"><img src="https://agentmods.dev/badge/skills/asaiuta/reverse-workbench-skill/observer-ward.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 | $0.00087 | $0.00581 |
| Opus 5 | $0.00044 | $0.00291 |
| Sonnet 5 | $0.00017 | $0.00116 |
| Haiku 4.5 | $0.00009 | $0.00058 |
Grade A, and why
observer-ward 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 5d 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
ObserverWard 服务指纹识别
ObserverWard 的匹配结果用于决定下一步验证方向，不是漏洞存在或版本确认的充分证据。重要结论应与响应头、页面内容、TLS 证书、浏览器观测或其他工具交叉验证。
运行前
- 读取
../../tool-index.md确认observer_ward的实际路径与可用状态；不要猜路径。 - 先执行本机帮助，以已安装版本的参数为准：
observer_ward --help
- 单个目标使用
-t/--target；目标清单使用-l/--list或 stdin。大清单必须写入任务输出目录。
执行原则
- 优先 JSON 格式，便于后续筛选和证据归档。
- 管道输出时启用静默模式，避免进度消息混入结构化结果。
- 只在需要原始请求/响应时使用
--ir，只在需要证书证据时使用--ic；两者都会显著放大输出。 - 仅在排障或证据收集时启用 debug。
- 不启动 update、plugin、daemon、MITM、webhook、API server、MCP 或 Redis/asynq 模式，除非用户明确要求该工作流。
协作路径
DNS / 资产输入 → httpx 存活与响应初筛 → ObserverWard 指纹
→ 浏览器或原始响应交叉验证 → 后续专项分析
- HTTP 存活、标题、重定向、TLS 与轻量技术栈初筛 →
pentest-tools的 httpx 参考。 - Cookie、页面流程、控制台或 CDP 网络证据 →
browser-automation/。 - 已确认的组件、接口或认证逻辑 → 根据任务进入
api-security/、js-reverse/或pentest-tools/。
输出要求
记录目标、查询时间、实际命令、结果文件、匹配产品与版本、关键响应/证书/probe 证据、交叉验证状态与未确认项。
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.
- 5d ago First seen · 43 lines · 87 tokens per session scan A bf64c02d7883
observer-ward is a skill published in the GitHub repository Asaiuta/reverse-workbench-skill (2 stars, last pushed 25d ago), licensed MIT. It adds 87 tokens to every session and 581 once invoked, about $0.0004 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 2026-09-03.
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