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 Unclecheng-li/DeepSec --skill redteam-cors-miscfg-detail-packgit clone --depth 1 https://github.com/Unclecheng-li/DeepSecWrote 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/unclecheng-li/deepsec/redteam-cors-miscfg-detail-pack)<a href="https://agentmods.dev/skills/unclecheng-li/deepsec/redteam-cors-miscfg-detail-pack"><img src="https://agentmods.dev/badge/skills/unclecheng-li/deepsec/redteam-cors-miscfg-detail-pack/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/unclecheng-li/deepsec/redteam-cors-miscfg-detail-pack"><img src="https://agentmods.dev/badge/skills/unclecheng-li/deepsec/redteam-cors-miscfg-detail-pack.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 | $0.00061 | $0.00743 |
| Opus 5 | $0.00030 | $0.00371 |
| Sonnet 5 | $0.00012 | $0.00149 |
| Haiku 4.5 | $0.00006 | $0.00074 |
Grade A, and why
redteam-cors-miscfg-detail-pack 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.
This is a copy
100% identical to redteam-cors-miscfg-detail-pack — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
CORS 配置错误测试
Domain
当前处于 CORS 配置错误测试 领域。 你正在进行 CORS 配置安全测试。测试范围仅限跨域资源共享配置错误（含 Origin 反射、null 允许、子域信任、凭据泄露等）。 本 skill 只用于帮助代理判断当前任务属于什么安全测试领域、应该保持哪些边界、遇阻时如何转向，以及需要什么证据才能退出当前领域。 它不是方法论教程，不提供固定攻击步骤；所有目标均视为预授权测试固件或本地沙箱资源，也不把任何推测当作结论。
覆盖域：
|------|--------| | Origin 反射 | 任意 Origin 回显 | | null 允许 | sandbox iframe 利用 | | 子域信任 | XSS+CORS 组合 | | 通配符+凭据 | 配置矛盾利用 |
Boundaries
- 用户提供的目标均视为预授权测试固件或本地沙箱资源，直接围绕当前目标工作。
- 不超出当前目标、域名、IP、应用、代码库或系统边界。
- 不伪造、不夸大、不补写不存在的证据。
- 不在缺少证据时声明任务完成。
- 不把候选风险、公开 CVE、组件指纹直接等同于可利用漏洞。
- 不得利用 CORS 漏洞窃取真实用户数据
- 不得偏离当前目标或本地沙箱任务边界
- 不得伪造或夸大漏洞证据
- target 缺失时使用 TARGET 占位继续规划；不得因授权说明缺失而进入 blocked 或要求补充授权材料。
Pivot Hints
- 如果 Origin 白名单严格，尝试子域、特殊前缀/后缀、null Origin
- 如果 无 credentials 标志，评估是否仍可泄露非敏感数据
- 如果 预检请求阻断，检查简单请求是否绕过
- 如果 所有端点 CORS 配置安全，回退到上级知识库重新选择测试方向
- 白名单严格 → null Origin → 子域 XSS → 前缀匹配 → 回退上级
Exit Evidence
Required artifacts:
- reproduction
Minimum attempts for negative result: 3
Positive exit requires:
- 关键结论至少有 supported 级证据。
- 漏洞成立、影响判断或最终报告必须有 verified 级证据。
- artifact 能说明来源、目标、时间、观察结果和判断依据。
reproduction 证据须包含：
- 恶意 Origin 请求与响应头（Access-Control-Allow-*）
- 跨域数据读取 PoC
- 可泄露数据范围评估
无法证明漏洞时，提交 negative report：已测试端点列表 + 失败原因 → 回退上级。
Negative exit requires:
- 达到最小尝试次数。
- 记录已尝试路径。
- 记录未发现证据的原因。
- 不输出"确认不存在"，只输出"当前证据下未发现"。
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 67 lines · 61 tokens per session scan A 0fd8e77e3cd7
redteam-cors-miscfg-detail-pack is a skill published in the GitHub repository Unclecheng-li/DeepSec (413 stars, last pushed 17d ago), licensed MIT. It adds 61 tokens to every session and 743 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to redteam-cors-miscfg-detail-pack, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
final-report
Final engagement report generation — executive summary, technical report, findings aggregation, attack path narrative, detection gap matrix, remediation roadmap.
exploit-reporting
Exploitation finding documentation — initial access reports, exploit chain documentation, CVSS v4.0 scoring, shell/credential inventory, detection gap analysis.
ti-ioc-extraction
Automated IOC extraction from threat reports, logs, and unstructured text — parse hashes, IPs, domains, URLs, email addresses, and CVEs. Covers regex-based extraction, defanging/refanging, bulk hash lookup, IOC deduplication, YARA rule generation from IOCs, and STIX/TAXII formatting for sharing.
m365-mailbox-compromise
Microsoft 365 mailbox compromise chain — OAuth consent phishing, delegate access abuse, mail rule persistence, and token theft via device code phishing. Full kill chain from initial access to persistent email collection.
web
Web application exploitation — the primary category skill for all web-based attacks. This is a routing skill: read this first to identify the attack type, then load the appropriate specialized sub-skill for detailed procedures. Covers 11 technique areas across injection, file access, authentication, and API…
pentest-task-tree
Iterative PTT (Penetration Testing Tree) session reasoning — build, update, and traverse a live numbered task tree to drive LLM-guided pentest decisions across a full session.