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 jwt-ctf-reviewgit 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/jwt-ctf-review)<a href="https://agentmods.dev/skills/liuxinye23/cyberstrikeai/jwt-ctf-review"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/jwt-ctf-review/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/jwt-ctf-review"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/jwt-ctf-review.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 | $0.00037 | $0.00671 |
| Opus 5 | $0.00018 | $0.00336 |
| Sonnet 5 | $0.00007 | $0.00134 |
| Haiku 4.5 | $0.00004 | $0.00067 |
Grade A, and why
jwt-ctf-review 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 10d 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
JWT 与票据类 CTF 题
何时使用
当题目包含 JWT、会话票据、登录态 Cookie、SSO/OAuth 风格流程、签名字段或“只差认证就能过”的 Web 题时使用本技能。
首轮 triage
- 明确令牌类型：JWT、Opaque Token、伪 JWT、加密票据、会话 Cookie。
- 解码头部与载荷，记录算法、声明、时效、受众、角色字段。
- 区分“逻辑缺陷题”和“实现细节题”。
- 对登录前后、不同角色、不同入口的请求做并排对比。
重点检查
声明与业务逻辑
- 是否存在明显的角色、租户、用户标识、调试字段。
- 题目更像“改声明触发逻辑”还是“绕过签名校验”。
- 令牌是否与 URL 参数、Header、Cookie 三者之一耦合。
流程与入口
- 登录、刷新、登出、个人资料、管理员接口是否共用同一授权来源。
- 是否存在只在某一路由读取某个声明的题目设计。
表现形式
- 有些 CTF 不会给你真实 JWT，而是给一个“看起来像 JWT 的三段文本”，先确认格式和编码细节。
- 如果题目强调头部、kid、jku、x5u、alg 等字段，优先检查头部控制面。
建议工具
jwt-analyzer
- 先做解码和结构核对，确认是不是标准 JWT。
- 对比匿名、普通用户、管理员三类令牌差异。
http-framework-test
- 固定重放关键接口，观察不同令牌或 Cookie 下的响应差异。
ffuf / nuclei
- 在认证边界不清晰时补充枚举路径和隐藏接口，但不要偏离题目主线。
输出要求
- 令牌结构与关键信息
- 题目真正依赖的授权点
- 复现步骤
- 取 flag 的最小路径
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.
- 10d ago First seen · 89 lines · 37 tokens per session scan A 6a2193fd7986
jwt-ctf-review is a skill published in the GitHub repository liuxinye23/CyberStrikeAI (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 37 tokens to every session and 671 once invoked, about $0.0002 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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