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 source-code-huntinggit 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/source-code-hunting)<a href="https://agentmods.dev/skills/ed1s0nz/cyberstrikeai/source-code-hunting"><img src="https://agentmods.dev/badge/skills/ed1s0nz/cyberstrikeai/source-code-hunting.svg" alt="Measured on agentmods" 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 | $0.00062 | $0.00481 |
| Opus 5 | $0.00031 | $0.00241 |
| Sonnet 5 | $0.00012 | $0.00096 |
| Haiku 4.5 | $0.00006 | $0.00048 |
Grade A, and why
source-code-hunting scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
源码狩猎
=== 源码狩猎 ===
.git泄露: git-dumper → git log -p --all(已删敏感文件) | .svn/.DS_Store/composer.lock
危险函数grep: exec/system/eval/unserialize/pickle.loads/render/curl_exec + 硬编码密钥(sk-/ghp_/BEGIN RSA)
JS混淆破解(RC4+base64字符串数组模式): 1)提取字符串数组(var a0G=[...]) 2)找解码函数(a0m(idx,key)→RC4解密+base64) 3)找rotation IIFE(目标偏移量) 4)Node.js重建解码器批量解码全部字符串→得到明文变量名/API路径/配置
UniApp特征: app-service.js(业务逻辑,常800KB+混淆) + zlsioh.dat(加密配置,native .so解密) + dcloud_uniplugins.json(插件清单)
静态扫描: semgrep --config=auto 快扫 / CodeQL建库写query (taint求解+变体分析方法论见 `zero-day-discovery`)
Secrets深挖: trufflehog/gitleaks 扫git全历史+docker镜像层+npm/PyPI tarball+前端bundle(--only-verified区分死活密钥)
框架Patch Diff: clone前后版本 diff → 修了什么=漏洞在哪 | 依赖链: composer.json/npm audit/pip-audit
供应链/CI: 依赖混淆(内部包名抢注公共registry) | GHA命令注入${{github.event.issue.title}} | self-hosted runner接管 | .npmrc/.pypirc凭据
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.
- 7d ago First seen · 22 lines · 62 tokens per session scan A 8b963c593aac
source-code-hunting is a skill published in the GitHub repository Ed1s0nZ/CyberStrikeAI (6,392 stars, last pushed 11d ago), licensed Apache-2.0. It adds 62 tokens to every session and 481 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.
Other skills, from other repositories
fix-security-vulnerabilities-with-strix
Fix security vulnerabilities found by a Strix pentest (open-source CLI or app.strix.ai cloud) — triage by severity, patch the root cause rather than the symptom, and re-run Strix to prove each fix actually closes the exploit. Handles injection, XSS, SSRF, broken access control, IDOR, and other validated findings. Use…
find-security-vulnerabilities-in-code
Find security vulnerabilities in a codebase or repository with Strix — a white-box AI security review that reads your source, reasons about the actual data flow and authorization model, then exploits what it finds in a live sandbox so every reported issue has a working proof-of-concept instead of a noisy…
managed-pentesting-with-strix
Run a managed pentest of a web app, API, repository, or local workspace on the app.strix.ai platform with the strix cloud CLI or REST API — no local Docker or LLM key needed. Safely review and upload local source, register assets, launch and poll scans, triage vulnerabilities, export SARIF, download compliance…
ci-security-scanning-with-strix
Add security scanning to CI/CD with Strix — GitHub Actions, GitLab CI, or any pipeline — so every pull request gets a diff-scoped AI pentest that blocks vulnerable code before it merges, with results as PR comments and SARIF uploaded to code scanning. Covers both the self-hosted open-source CLI (runs in your runner)…
svc-mobile-android
Android APK static analysis — OWASP Mobile Top 10, Retrofit API audit, transport security, smali reading, component export, auth flow analysis. Use when target is an APK/Android app. Triggers - APK, Android, mobile app, decompiled, smali, jadx, apktool.
web-auth-bypass-idor
Broken access control - IDOR, privilege escalation, JWT abuse, mass assignment, forced browsing - for web apps and APIs. Use on any multi-user or role-based app with object IDs, tokens, or admin functionality. Triggers - /api/users/ , /orders/ , ?account=/uid=/doc=, JWT (eyJ...), role/isAdmin field, admin panel, "403…