ship-safe-baseline
Manage your security baseline — accept current findings as known debt, then only report new regressions on future scans. Use when the user wants to adopt security scanning incrementally or suppress existing findings.
git clone --depth 1 https://github.com/asamassekou10/ship-safe /tmp/ship-safe-baseline && cp -r /tmp/ship-safe-baseline/claude-code-plugin/skills/ship-safe-baseline ~/.claude/skills/ship-safe-baselineSKILL.md
# Ship Safe — Baseline Management You are helping the user manage their security baseline. A baseline lets teams "accept" current findings as known technical debt and only see new regressions on future scans. ## Understand the request - **No flags or just a path** → Create/update the baseline - **`--diff`** → Show what changed since the baseline was created - **`--clear`** → Remove the baseline ## Step 1: Run the baseline command ```bash npx ship-safe@latest baseline $ARGUMENTS 2>&1 ``` If `$ARGUMENTS` is empty, default to `.`: ```bash npx ship-safe@latest baseline . 2>&1 ``` For diff mode: ```bash npx ship-safe@latest baseline . --diff 2>&1 ``` For clearing: ```bash npx ship-safe@latest baseline --clear 2>&1 ``` ## Step 2: Explain the result ### If creating a baseline: 1. Report how many findings were baselined 2. Explain that `.ship-safe/baseline.json` was created 3. Tell the user they can now run `npx ship-safe audit . --baseline` (or `/ship-safe --baseline`) to only see new findings 4. Recommend adding `.ship-safe/baseline.json` to version control so the whole team shares the same baseline ### If showing diff: 1. Report new findings (not in baseline) — these are regressions 2. Report resolved findings (in baseline but no longer detected) — these are improvements 3. If no changes, confirm the codebase matches the baseline ### If clearing: Confirm the baseline was removed. Future scans will show all findings again. ## Step 3: Suggest workflow After creating a baseline, suggest this workflow: - **CI pipeline**: Add `npx ship-safe audit . --baseline --json` to fail builds only on new findings - **Periodic review**: Run `/ship-safe-baseline --diff` to track progress on reducing technical debt - **After fixing**: Run `/ship-safe-baseline .` to update the baseline ## Important Notes - The baseline uses content-based fingerprints (`rule:path:snippet`), not line numbers — so the baseline survives code reformatting and line shifts - Creating a baseline does NOT mean the findings are safe — it means the team acknowledges them and will address them over time
Run Ship Safe in CI mode — compact output, exit codes, SARIF generation. Use when the user wants to set up CI/CD security gates or test their pipeline configuration.
Run a deep security audit with LLM-powered taint analysis — regex scan nominates findings, then an LLM verifies taint reachability and exploitability. Use when the user wants thorough, high-confidence results with fewer false positives.
Auto-fix security issues — remediate hardcoded secrets and common vulnerabilities (TLS bypass, debug mode, XSS, shell injection, Docker :latest). Use when the user wants to automatically fix security findings.
Install ship-safe as real-time Claude Code hooks — blocks secrets and dangerous commands before they land on disk. Use when the user wants automatic security scanning on every file write or bash command.
Run a multi-agent red team scan — 29 specialized security agents scan for 80+ attack classes including injection, auth bypass, SSRF, supply chain, Supabase RLS, MCP security, agentic AI, RAG poisoning, PII compliance, and more. Use when the user wants a deep security analysis beyond just secrets.
Quick scan for leaked secrets — API keys, passwords, tokens, database URLs. Use when the user wants to check for hardcoded secrets or exposed credentials.
Get your project's security health score (0-100, A-F grade). Use when the user wants a quick security check or asks "is my code safe to ship?
Run a full security audit on this project — 16 agents scan for secrets, injections, auth bypass, SSRF, supply chain, Supabase RLS, MCP security, agentic AI, RAG poisoning, PII compliance, and more. Use when the user wants a security audit, vulnerability scan, or asks if their code is safe to ship.