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 ssti-challenge-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/ssti-challenge-review)<a href="https://agentmods.dev/skills/liuxinye23/cyberstrikeai/ssti-challenge-review"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/ssti-challenge-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/ssti-challenge-review"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/ssti-challenge-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 | $0.00036 | $0.00624 |
| Opus 5 | $0.00018 | $0.00312 |
| Sonnet 5 | $0.00007 | $0.00125 |
| Haiku 4.5 | $0.00004 | $0.00062 |
Grade A, and why
ssti-challenge-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 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
SSTI 题分流与验证
何时使用
当 Web 题包含模板渲染、邮件预览、主题/样式、自定义页面、错误页、用户资料渲染、服务端表达式或框架特征字符串时使用。
快速流程
- 找到回显点、错误点和上下文类型：HTML 正文、属性、文本片段、模板语句块、邮件模板。
- 判断是模板注入、普通反射，还是仅前端模板。
- 确认模板引擎线索：错误栈、语法符号、框架特征、转义行为。
- 用最小、只读、低副作用的方式验证执行与对象访问边界。
重点检查
引擎识别
- 观察报错信息、过滤行为、分隔符风格与上下文变化。
- 先判断题目是“识别引擎”还是“到达特定对象/变量”。
回显与执行边界
- 是否有回显、是否可控、是否仅在某个模板字段生效。
- 不要一上来假定存在高危执行；先确认对象访问、条件判断或简单表达式是否成立。
题目目标
- 有些题目只要求读取某个变量、配置或 flag 文件，不一定要做到通用执行。
- 如果题目更像业务逻辑题，及时回到 Web 主线，不要被“像 SSTI”的表象带偏。
建议工具
http-framework-test
- 对模板参数做只读重放，保存错误信息、回显差异和上下文位置。
ffuf
- 适合补充枚举模板相关入口、预览端点和隐藏页面。
输出要求
- 模板位置
- 可能的引擎线索
- 验证路径
- 最小复现步骤
- 取 flag 或关键证据的思路
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 · 82 lines · 36 tokens per session scan A 5dde1ee80cb9
ssti-challenge-review is a skill published in the GitHub repository liuxinye23/CyberStrikeAI (0 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 36 tokens to every session and 624 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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