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 dependency-risk-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/dependency-risk-review)<a href="https://agentmods.dev/skills/liuxinye23/cyberstrikeai/dependency-risk-review"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/dependency-risk-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/dependency-risk-review"><img src="https://agentmods.dev/badge/skills/liuxinye23/cyberstrikeai/dependency-risk-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 | $0.00027 | $0.00744 |
| Opus 5.5 | $0.00011 | $0.00298 |
| Sonnet 5.5 | $0.00005 | $0.00149 |
| Haiku 4.5 | $0.00003 | $0.00074 |
Grade A, and why
dependency-risk-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 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
依赖与供应链风险审计
何时使用
当目标包含应用代码库、镜像、制品、锁文件、构建脚本、包管理器配置或内部依赖仓库时使用本技能。
快速流程
- 确认生态与资产：
package-lock、poetry.lock、requirements、go.sum、镜像清单、制品仓库。 - 区分直接依赖、传递依赖、开发依赖、构建依赖和运行时依赖。
- 审核版本固定策略、来源可信度、过时组件、弃用组件、镜像基线。
- 检查供应链控制：私仓、镜像源、构建签名、最小镜像、变更审计。
重点检查
版本与锁定
- 是否只在描述文件声明范围版本，缺少可重现锁定。
- 关键安全组件是否长时间停留在已弃用或不再维护的版本。
来源与信任
- 是否混用公共源、镜像源、私有包和临时脚本安装。
- 构建链是否依赖未经审计的下载步骤、在线脚本或不稳定镜像。
运行时暴露面
- 运行镜像中是否带入构建工具、测试依赖、调试包和多余 shell。
- 不同环境是否复用同一超大镜像基线。
建议工具
trivy
- 用于依赖、镜像与文件系统层面的已知风险盘点。
- 输出要结合运行环境和组件可达性做二次判断，不要原样搬运漏洞列表。
exec
- 用只读命令核对包管理器文件、锁文件、镜像基线、构建脚本与版本固定策略。
checkov
- 当依赖风险与 IaC、镜像构建、云资源定义耦合时，用来补充配置面问题。
证据要求
- 记录组件名、版本、所在文件、用途、是否直接依赖、是否运行时可达。
- 对高危问题写明“为什么在当前系统里真正重要”。
- 区分可立即修复、需兼容验证、需架构替换三类建议。
修复建议方向
- 固定锁文件并建立更新窗口。
- 缩减运行时镜像与非必要依赖。
- 对公共源、私有源与构建下载流程建立信任边界和审计。
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 · 91 lines · 27 tokens per session scan A bb516593691b
dependency-risk-review is a skill published in the GitHub repository liuxinye23/CyberStrikeAI (0 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 744 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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