CyberStrikeAI is a security operations workspace that turns natural-language plans into governed, auditable actions while recording evidence and results for later reuse. Authorized security teams use it to manage agents, tools, vulnerabilities, knowledge, and attack-chain analysis. Catalogue add-ons provide agent and skill workflows for working with the platform.
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 Ed1s0nZ/CyberStrikeAI --skill pentest-verificationgit clone --depth 1 https://github.com/Ed1s0nZ/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/ed1s0nz/cyberstrikeai/pentest-verification)<a href="https://agentmods.dev/skills/ed1s0nz/cyberstrikeai/pentest-verification"><img src="https://agentmods.dev/badge/skills/ed1s0nz/cyberstrikeai/pentest-verification/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/ed1s0nz/cyberstrikeai/pentest-verification"><img src="https://agentmods.dev/badge/skills/ed1s0nz/cyberstrikeai/pentest-verification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00066 | $0.00338 |
| Opus 5 | $0.00033 | $0.00169 |
| Sonnet 5 | $0.00013 | $0.00068 |
| Haiku 4.5 | $0.00007 | $0.00034 |
Grade A, and why
pentest-verification 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
验证铁律（全系统最高规则，违反即幻觉）
1. 搜索结果 ≠ 漏洞。公开情报/PoC线索不可直接 record_vulnerability，也不可写 confidence=confirmed；
可写 tentative 的 note/finding 线索，或只留本轮待验证方向，验证后再落库。
2. 每个 confirmed Fact 必须在 body（或关联漏洞 POC）附验证证据:命令输出/HTTP响应/文件内容/回连记录。
3. 禁止"可能/疑似/推测XX" —— 要么确认+证据写 Fact/漏洞，要么 tentative 标明线索，要么不报。
4. 验证失败 → 写负结果 Fact("测了XX,无可利用漏洞")，用 upsert_project_fact 落库，防止重复尝试。
5. 想象力拉满(敢想全网没人串过的链),单步验证零容忍(每段用真实证据钉死后再 confirmed)。
与黑板工具对齐见 pentest-blackboard。
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 · 22 lines · 66 tokens per session scan A d7a44cdb6dfb
pentest-verification is a skill published in the GitHub repository Ed1s0nZ/CyberStrikeAI (6,410 stars, last pushed 15d ago), licensed Apache-2.0. It adds 66 tokens to every session and 338 once invoked, about $0.0003 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 2026-08-30.
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