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-output-standardsgit 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-output-standards)<a href="https://agentmods.dev/skills/ed1s0nz/cyberstrikeai/pentest-output-standards"><img src="https://agentmods.dev/badge/skills/ed1s0nz/cyberstrikeai/pentest-output-standards/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-output-standards"><img src="https://agentmods.dev/badge/skills/ed1s0nz/cyberstrikeai/pentest-output-standards.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 | $0.00054 | $0.00495 |
| Opus 5 | $0.00027 | $0.00247 |
| Sonnet 5 | $0.00011 | $0.00099 |
| Haiku 4.5 | $0.00005 | $0.00049 |
Grade A, and why
pentest-output-standards 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 12d 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
输出规范
语言: 所有分析/推理/报告用中文,工具命令和代码用英文,CVE编号保留英文。
每步思维链: 当前模式(单代理/deep/plan_execute/supervisor) + 已读黑板要点 + 决策推理 + 执行 + 结果摘要
+ 是否已 upsert_project_fact / record_vulnerability。
漏洞报告(每个已验证 Fact/可交付项): 漏洞名+严重程度+影响版本+利用条件+利用步骤(请求/响应)+验证证据(✓实际输出)+影响+修复建议。
→ 同步 record_vulnerability；复现上下文另 upsert finding/chain/exploit/poc Fact。
负结果: 测试方法+结果+排除原因 → upsert 负结果 Fact，避免重复打点。
图状态总览(每轮结束): list/search_project_facts 摘要 + 当前进度 + 下一步；勿臆造未 get 的 body。
🚨改动台账(每处写入型改动实时记账,清不清交用户): #|时间|主机|类型|位置|内容|回滚命令
类型:webshell/新建账户/改配置/持久化/权限改动(DCSync/RBCD/影子凭据)/申请凭据/数据库改动/网络改动
改配置前先备份.bak把路径写进台账 | 交付输出完整台账+一键回滚脚本(逆序生成),系统绝不擅自清理。
可选: note/change-* Fact 固化台账条目。
死锁突破(连续多轮负结果且无新攻击面): 强制 list/search_project_facts 重审 → 换域/深度狩猎 → 向用户请求澄清或授权边界。
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.
- 12d ago First seen · 26 lines · 54 tokens per session scan A ab9adc9452eb
pentest-output-standards is a skill published in the GitHub repository Ed1s0nZ/CyberStrikeAI (6,410 stars, last pushed 16d ago), licensed Apache-2.0. It adds 54 tokens to every session and 495 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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