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 liuxinye23/CyberStrikeAI --skill wasm-reverse-triagegit clone --depth 1 https://github.com/liuxinye23/CyberStrikeAIWrote 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/liuxinye23/cyberstrikeai/wasm-reverse-triage)<a href="https://agentmods.dev/skills/liuxinye23/cyberstrikeai/wasm-reverse-triage"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/wasm-reverse-triage/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/liuxinye23/cyberstrikeai/wasm-reverse-triage"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/wasm-reverse-triage.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 | $0.00035 | $0.00520 |
| Opus 5.5 | $0.00014 | $0.00208 |
| Sonnet 5.5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
wasm-reverse-triage 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 2mo 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
WASM 与前端逆向题首轮分流
何时使用
当题目包含 .wasm、前端大包、浏览器端校验、客户端 flag 逻辑、JS 混淆或前端解谜流程时使用。
快速流程
- 先确认校验在浏览器端还是后端。
- 找出关键资源：JS bundle、WASM、Source Map、配置 JSON、动态加载脚本。
- 识别题目是“还原算法”“提取常量/密钥”还是“理解交互顺序”。
重点检查
入口与调用关系
- WASM 从哪里加载、由谁调用、输入输出如何传递。
- JS 与 WASM 是否共同参与校验，还是其中一个只是包装层。
常量与提示
- 先找字符串、错误文案、隐藏路径、调试标志、字典表。
- 对纯前端题，不要忽略浏览器存储、请求参数、路由片段和资源命名。
状态机与交互
- 某些题目关键不在算法，而在触发顺序、事件链、路由状态、时间检查。
- 如果服务端也参与了一部分校验，要及时回到 Web 主线。
建议工具
stringshttp-framework-testghidra
输出要求
- 关键资源清单
- 校验主链
- 关键常量/函数/模块
- 下一步深挖方向
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.
- 2mo ago First seen · 76 lines · 35 tokens per session scan A fc93942c8586
wasm-reverse-triage is a skill published in the GitHub repository liuxinye23/CyberStrikeAI (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 35 tokens to every session and 520 once invoked, about $0.0001 per session on Opus 5.5. 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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