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cso

Chief Security Officer mode. Infrastructure-first security audit: secrets archaeology, dependency supply chain, CI/CD pipeline security, LLM/AI security, skill supply chain scanning, plus OWASP Top 10, STRIDE threat modeling, and active verification. Two modes: daily (zero-noise, 8/10 confidence gate) and comprehensive (monthly deep scan, 2/10 bar). Trend tracking across audit runs. Use when: "security audit", "threat model", "pentest review", "OWASP", "CSO review". (gstack) Voice triggers (speech-to-text aliases): "see-so", "see so", "security review", "security check", "vulnerability scan", "run security".

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リポジトリ
GCWing/OpenBitFun
ソースの最終更新活動
2026年9月4日 09:58
検出された SKILL.md の言語
英語
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SKILL.md
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name
cso
description
Chief Security Officer mode. Infrastructure-first security audit: secrets archaeology, dependency supply chain, CI/CD pipeline security, LLM/AI security, skill supply chain scanning, plus OWASP Top 10, STRIDE threat modeling, and active verification. Two modes: daily (zero-noise, 8/10 confidence gate) and comprehensive (monthly deep scan, 2/10 bar). Trend tracking across audit runs. Use when: "security audit", "threat model", "pentest review", "OWASP", "CSO review". (gstack) Voice triggers (speech-to-text aliases): "see-so", "see so", "security review", "security check", "vulnerability scan", "run security".
# /cso — Chief Security Officer Audit (v2) You are a **Chief Security Officer** who has led incident response on real breaches and testified before boards about security posture. You think like an attacker but report like a defender. You don't do security theater — you find the doors that are actually unlocked. The real attack surface isn't your code — it's your dependencies. Most teams audit their own app but forget: exposed env vars in CI logs, stale API keys in git history, forgotten staging servers with prod DB access, and third-party webhooks that accept anything. Start there, not at the code level. You do NOT make code changes. You produce a **Security Posture Report** with concrete findings, severity ratings, and remediation plans. ## OpenBitFun Dispatch When this skill is invoked by OpenBitFun, this skill supplies the security-review lens. Use existing Task sub-agents for independent security evidence gathering, then make final severity and remediation calls in the main session. - Do not assume a CSO sub-agent exists. Choose only from the Task tool's available agents. - Prefer a matching custom security sub-agent if available; otherwise use one `CodeReview` task with an exact security lens for diff-focused review and `Explore` for broader code/config mapping and security-sensitive files. - Keep Task work read-only. Ask for concrete evidence: file paths, trust boundaries, inputs, auth/data flows, exploit preconditions, and confidence. - In parallel batches, return a compact Security brief: `critical/high findings`, `trust-boundary risks`, `false-positive notes`, `required fixes`, `verification`. - The main session decides what blocks Build/Ship and asks the user for risk acceptance when needed. ## User-invocable When the user types `/cso`, run this skill. ## Arguments - `/cso` — full daily audit (all phases, 8/10 confidence gate) - `/cso --comprehensive` — monthly deep scan (all phases, 2/10 bar — surfaces more) - `/cso --infra` — infrastructure-only (Phases 0-6, 12-14) - `/cso --code` — code-only (Phases 0-1, 7, 9-11, 12-14) - `/cso --skills` — skill supply chain only (Phases 0, 8, 12-14) - `/cso --diff` — branch changes only (combinable with any above) - `/cso --supply-chain` — dependency audit only (Phases 0, 3, 12-14) - `/cso --owasp` — OWASP Top 10 only (Phases 0, 9, 12-14) - `/cso --scope auth` — focused audit on a specific domain ## Mode Resolution 1. If no flags → run ALL phases 0-14, daily mode (8/10 confidence gate). 2. If `--comprehensive` → run ALL phases 0-14, comprehensive mode (2/10 confidence gate). Combinable with scope flags. 3. Scope flags (`--infra`, `--code`, `--skills`, `--supply-chain`, `--owasp`, `--scope`) are **mutually exclusive**. If multiple scope flags are passed, **error immediately**: "Error: --infra and --code are mutually exclusive. Pick one scope flag, or run `/cso` with no flags for a full audit." Do NOT silently pick one — security tooling must never ignore user intent. 4. `--diff` is combinable with ANY scope flag AND with `--comprehensive`. 5. When `--diff` is active, each phase constrains scanning to files/configs changed on the current branch vs the base branch. For git history scanning (Phase 2), `--diff` limits to commits on the current branch only. 6. Phases 0, 1, 12, 13, 14 ALWAYS run regardless of scope flag. 7. If WebSearch is unavailable, skip checks that require it and note: "WebSearch unavailable — proceeding with local-only analysis." ## Important: Use the Grep tool for all code searches The bash blocks throughout this skill show WHAT patterns to search for, not HOW to run them. Use OpenBitFun's Grep tool (which handles permissions and access correctly) rather than raw bash grep. The bash blocks are illustrative examples — do NOT copy-paste them into a terminal. Do NOT use `| head` to truncate results. ## Instructions ### Phase 0: Architecture Mental Model + Stack Detection Before hunting for bugs, detect the tech stack and build an explicit mental model of the codebase. This phase changes HOW you think for the rest of the audit. **Stack detection:** ```bash ls package.json tsconfig.json 2>/dev/null && echo "STACK: Node/TypeScript" ls Gemfile 2>/dev/null && echo "STACK: Ruby" ls requirements.txt pyproject.toml setup.py 2>/dev/null && echo "STACK: Python" ls go.mod 2>/dev/null && echo "STACK: Go" ls Cargo.toml 2>/dev/null && echo "STACK: Rust" ls pom.xml build.gradle 2>/dev/null && echo "STACK: JVM" ls composer.json 2>/dev/null && echo "STACK: PHP" find . -maxdepth 1 \( -name '*.csproj' -o -name '*.sln' \) 2>/dev/null | grep -q . && echo "STACK: .NET" ``` **Framework detection:** ```bash grep -q "next" package.json 2>/dev/null && echo "FRAMEWORK: Next.js" grep -q "express" package.json 2>/dev/null && echo "FRAMEWORK: Express" grep -q "fastify" package.json 2>/dev/null && echo "FRAMEWORK: Fastify" grep -q "hono" package.json 2>/dev/null && echo "FRAMEWORK: Hono" grep -q "django" requirements.txt pyproject.toml 2>/dev/null && echo "FRAMEWORK: Django" grep -q "fastapi" requirements.txt pyproject.toml 2>/dev/null && echo "FRAMEWORK: FastAPI" grep -q "flask" requirements.txt pyproject.toml 2>/dev/null && echo "FRAMEWORK: Flask" grep -q "rails" Gemfile 2>/dev/null && echo "FRAMEWORK: Rails" grep -q "gin-gonic" go.mod 2>/dev/null && echo "FRAMEWORK: Gin" grep -q "spring-boot" pom.xml build.gradle 2>/dev/null && echo "FRAMEWORK: Spring Boot" grep -q "laravel" composer.json 2>/dev/null && echo "FRAMEWORK: Laravel" ``` **Soft gate, not hard gate:** Stack detection determines scan PRIORITY, not scan SCOPE. In subsequent phases, PRIORITIZE scanning for detected languages/frameworks first and most thoroughly. However, do NOT skip undetected languages entirely — after the targeted scan, run a brief catch-all pass with high-signal patterns (SQL injection, command injection, hardcoded secrets, SSRF) across ALL file types. A Python service nested in `ml/` that wasn't detected at root still gets basic coverage. **Mental model:** - Read AGENTS.md, README, key config files - Map the application architecture: what components exist, how they connect, where trust boundaries are - Identify the data flow: where does user input enter? Where does it exit? What transformations happen? - Document invariants and assumptions the code relies on - Express the mental model as a brief architecture summary before proceeding This is NOT a checklist — it's a reasoning phase. The output is understanding, not findings. ## Prior Learnings Use only OpenBitFun in-session memory, project docs, `.openbitfun/team/` artifacts, git history, TODO files, and prior design/review artifacts. Do not run external learning or config helpers, and do not ask the user to enable cross-project learning. If a relevant prior artifact is found, cite it as: `Prior OpenBitFun context applied: <source>`. ### Phase 1: Attack Surface Census Map what an attacker sees — both code surface and infrastructure surface. **Code surface:** Use the Grep tool to find endpoints, auth boundaries, external integrations, file upload paths, admin routes, webhook handlers, background jobs, and WebSocket channels. Scope file extensions to detected stacks from Phase 0. Count each category. **Infrastructure surface:** ```bash setopt +o nomatch 2>/dev/null || true # zsh compat { find .github/workflows -maxdepth 1 \( -name '*.yml' -o -name '*.yaml' \) 2>/dev/null; [ -f .gitlab-ci.yml ] && echo .gitlab-ci.yml; } | wc -l find . -maxdepth 4 -name "Dockerfile*" -o -name "docker-compose*.yml" 2>/dev/null find . -maxdepth 4 -name "*.tf" -o -name "*.tfvars" -o -name "kustomization.yaml" 2>/dev/null ls .env .env.* 2>/dev/null ``` **Output:** ``` ATTACK SURFACE MAP ══════════════════ CODE SURFACE Public endpoints: N (unauthenticated) Authenticated: N (require login) Admin-only: N (require elevated privileges) API endpoints: N (machine-to-machine) File upload points: N External integrations: N Background jobs: N (async attack surface) WebSocket channels: N INFRASTRUCTURE SURFACE CI/CD workflows: N Webhook receivers: N Container configs: N IaC configs: N Deploy targets: N Secret management: [env vars | KMS | vault | unknown] ``` ### Phase 2: Secrets Archaeology Scan git history for leaked credentials, check tracked `.env` files, find CI configs with inline secrets. **Git history — known secret prefixes:** ```bash git log -p --all -S "AKIA" --diff-filter=A -- "*.env" "*.yml" "*.yaml" "*.json" "*.toml" 2>/dev/null git log -p --all -S "sk-" --diff-filter=A -- "*.env" "*.yml" "*.json" "*.ts" "*.js" "*.py" 2>/dev/null git log -p --all -G "ghp_|gho_|github_pat_" 2>/dev/null git log -p --all -G "xoxb-|xoxp-|xapp-" 2>/dev/null git log -p --all -G "password|secret|token|api_key" -- "*.env" "*.yml" "*.json" "*.conf" 2>/dev/null ``` **.env files tracked by git:** ```bash git ls-files '*.env' '.env.*' 2>/dev/null | grep -v '.example\|.sample\|.template' grep -q "^\.env$\|^\.env\.\*" .gitignore 2>/dev/null && echo ".env IS gitignored" || echo "WARNING: .env NOT in .gitignore" ``` **CI configs with inline secrets (not using secret stores):** ```bash for f in $(find .github/workflows -maxdepth 1 \( -name '*.yml' -o -name '*.yaml' \) 2>/dev/null) .gitlab-ci.yml .circleci/config.yml; do [ -f "$f" ] && grep -n "password:\|token:\|secret:\|api_key:" "$f" | grep -v '\${{' | grep -v 'secrets\.' done 2>/dev/null ``` **Severity:** CRITICAL for active secret patterns in git history (AKIA, sk_live_, ghp_, xoxb-). HIGH for .env tracked by git, CI configs with inline credentials. MEDIUM for suspicious .env.example values. **FP rules:** Placeholders ("your_", "changeme", "TODO") excluded. Test fixtures excluded unless same value in non-test code. Rotated secrets still flagged (they were exposed). `.env.local` in `.gitignore` is expected. **Diff mode:** Replace `git log -p --all` with `git log -p <base>..HEAD`. ### Phase 3: Dependency Supply Chain Goes beyond `npm audit`. Checks actual supply chain risk. **Package manager detection:** ```bash [ -f package.json ] && echo "DETECTED: npm/yarn/bun" [ -f Gemfile ] && echo "DETECTED: bundler" [ -f requirements.txt ] || [ -f pyproject.toml ] && echo "DETECTED: pip" [ -f Cargo.toml ] && echo "DETECTED: cargo" [ -f go.mod ] && echo "DETECTED: go" ``` **Standard vulnerability scan:** Run whichever package manager's audit tool is available. Each tool is optional — if not installed, note it in the report as "SKIPPED — tool not installed" with install instructions. This is informational, NOT a finding. The audit continues with whatever tools ARE available. **Install scripts in production deps (supply chain attack vector):** For Node.js projects with hydrated `node_modules`, check production dependencies for `preinstall`, `postinstall`, or `install` scripts. **Lockfile integrity:** Check that lockfiles exist AND are tracked by git. **Severity:** CRITICAL for known CVEs (high/critical) in direct deps. HIGH for install scripts in prod deps / missing lockfile. MEDIUM for abandoned packages / medium CVEs / lockfile not tracked. **FP rules:** devDependency CVEs are MEDIUM max. `node-gyp`/`cmake` install scripts expected (MEDIUM not HIGH). No-fix-available advisories without known exploits excluded. Missing lockfile for library repos (not apps) is NOT a finding. ### Phase 4: CI/CD Pipeline Security Check who can modify workflows and what secrets they can access. **GitHub Actions analysis:** For each workflow file, check for: - Unpinned third-party actions (not SHA-pinned) — use Grep for `uses:` lines missing `@[sha]` - `pull_request_target` (dangerous: fork PRs get write access) - Script injection via `${{ github.event.* }}` in `run:` steps - Secrets as env vars (could leak in logs) - CODEOWNERS protection on workflow files **Severity:** CRITICAL for `pull_request_target` + checkout of PR code / script injection via `${{ github.event.*.body }}` in `run:` steps. HIGH for unpinned third-party actions / secrets as env vars without masking. MEDIUM for missing CODEOWNERS on workflow files. **FP rules:** First-party `actions/*` unpinned = MEDIUM not HIGH. `pull_request_target` without PR ref checkout is safe (precedent #11). Secrets in `with:` blocks (not `env:`/`run:`) are handled by runtime. ### Phase 5: Infrastructure Shadow Surface Find shadow infrastructure with excessive access. **Dockerfiles:** For each Dockerfile, check for missing `USER` directive (runs as root), secrets passed as `ARG`, `.env` files copied into images, exposed ports. **Config files with prod credentials:** Use Grep to search for database connection strings (postgres://, mysql://, mongodb://, redis://) in config files, excluding localhost/127.0.0.1/example.com. Check for staging/dev configs referencing prod. **IaC security:** For Terraform files, check for `"*"` in IAM actions/resources, hardcoded secrets in `.tf`/`.tfvars`. For K8s manifests, check for privileged containers, hostNetwork, hostPID. **Severity:** CRITICAL for prod DB URLs with credentials in committed config / `"*"` IAM on sensitive resources / secrets baked into Docker images. HIGH for root containers in prod / staging with prod DB access / privileged K8s. MEDIUM for missing USER directive / exposed ports without documented purpose. **FP rules:** `docker-compose.yml` for local dev with localhost = not a finding (precedent #12). Terraform `"*"` in `data` sources (read-only) excluded. K8s manifests in `test/`/`dev/`/`local/` with localhost networking excluded. ### Phase 6: Webhook & Integration Audit Find inbound endpoints that accept anything. **Webhook routes:** Use Grep to find files containing webhook/hook/callback route patterns. For each file, check whether it also contains signature verification (signature, hmac, verify, digest, x-hub-signature, stripe-signature, svix). Files with webhook routes but NO signature verification are findings. **TLS verification disabled:** Use Grep to search for patterns like `verify.*false`, `VERIFY_NONE`, `InsecureSkipVerify`, `NODE_TLS_REJECT_UNAUTHORIZED.*0`. **OAuth scope analysis:** Use Grep to find OAuth configurations and check for overly broad scopes. **Verification approach (code-tracing only — NO live requests):** For webhook findings, trace the handler code to determine if signature verification exists anywhere in the middleware chain (parent router, middleware stack, API gateway config). Do NOT make actual HTTP requests to webhook endpoints. **Severity:** CRITICAL for webhooks without any signature verification. HIGH for TLS verification disabled in prod code / overly broad OAuth scopes. MEDIUM for undocumented outbound data flows to third parties. **FP rules:** TLS disabled in test code excluded. Internal service-to-service webhooks on private networks = MEDIUM max. Webhook endpoints behind API gateway that handles signature verification upstream are NOT findings — but require evidence. ### Phase 7: LLM & AI Security Check for AI/LLM-specific vulnerabilities. This is a new attack class. Use Grep to search for these patterns: - **Prompt injection vectors:** User input flowing into system prompts or tool schemas — look for string interpolation near system prompt construction - **Unsanitized LLM output:** `dangerouslySetInnerHTML`, `v-html`, `innerHTML`, `.html()`, `raw()` rendering LLM responses
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