~/.claude/CLAUDE.md specifies English for code and documentation, Norwegian for dialog only. Norwegian had crept into surface text across v7.5-v7.7. Translated to English in eight surfaces. No scanner, hook, or behavior changes — purely surface text. - 18 skill commands: the HTML Report-step now reads "HTML report: [Open in browser]" instead of "HTML-rapport: [Åpne i nettleser]" - scripts/lib/report-renderers.mjs: key-stat labels, lede defaults, table headers, maturity-ladder descriptions, action-tier labels, clean buckets, dry-run/apply copy, and JS comments. Regex alternations /^high|^høy/ and /resolution|løsning/i preserved. - playground/llm-security-playground.html: same renderer changes mirrored bit-identical, plus playground-only UI strings (catalog, breadcrumb aria-label, theme toggle, builder-modal hint, guide-panel "no projects yet", delete confirmation, alert/copy). Demo-state fixture content for dft-komplett-demo preserved (intentional Norwegian persona). - agents/skill-scanner-agent.md + agents/mcp-scanner-agent.md: Generaliseringsgrense + Parallell Read-strategi sections translated to Generalization boundary + Parallel Read strategy. - README.md: playground architecture prose + Recent versions table (v7.5.0 — v7.7.1). - CLAUDE.md: v7.7.1 highlights translated, new v7.7.2 highlights added. - ../../README.md: llm-security v7.5.0 — v7.7.1 bullets. - ../../CLAUDE.md: llm-security catalog entry. - docs/scanner-reference.md: six runnable-examples table cells. - docs/version-history.md: new v7.7.2 entry. v7.5-v7.7 narrative sections left in original language (deferred per operator). - Version bumped 7.7.1 → 7.7.2 in package.json, .claude-plugin/plugin.json, README badge + Recent versions, CLAUDE.md header + state, docs/version-history.md, playground renderHome hardcoded string, root README + CLAUDE.md llm-security entries. Tests: 1820/1820 green. CLI smoke-test: 18/18 commandIds produce >138 KB self-contained HTML. Browser-dogfood verified. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
70 lines
2.7 KiB
Markdown
70 lines
2.7 KiB
Markdown
---
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name: security:audit
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description: Full project security audit with OWASP LLM Top 10 assessment, scoring, and remediation plan
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allowed-tools: Read, Glob, Grep, Bash, Agent
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model: sonnet
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---
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# /security audit
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Full security audit — 10 categories, OWASP LLM Top 10 aligned, A-F grade.
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## Step 1: Run Posture Scanner
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Run the deterministic posture scanner first for instant category results:
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```
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node <this plugin's scanners/posture-scanner.mjs> [cwd]
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```
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Parse JSON output. Record: grade, risk score, all category statuses, all findings.
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## Step 2: Gather Context
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1. Read `CLAUDE.md` for project name and type
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2. Glob for: `commands/*.md`, `agents/*.md`, `.mcp.json`, `**/.mcp.json`, `.claude-plugin/plugin.json`
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3. Determine: has skills/commands? has MCP servers?
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## Step 3: Skill Scan (if commands/agents found)
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Spawn `subagent_type: "llm-security:skill-scanner-agent"`, `model: "sonnet"`:
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> Scan all commands/ and agents/ at [cwd].
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> Read: \<plugin-root\>/knowledge/skill-threat-patterns.md
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> Return findings: file, issue, severity, OWASP ref.
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## Step 4: MCP Scan (if MCP servers found)
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After skill scan, spawn `subagent_type: "llm-security:mcp-scanner-agent"`, `model: "sonnet"`:
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> Audit MCP configs at [cwd]. Read: \<plugin-root\>/knowledge/mcp-threat-patterns.md
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> Return trust table and findings with severity.
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## Step 5: Generate Report
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Merge posture scanner JSON + agent findings. Use the posture scanner's grade as the baseline.
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Recalculate `risk_score = riskScore(counts)` (severity-dominated v2 model — see `scanners/lib/severity.mjs`) including agent findings.
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Output: Risk Dashboard, Executive Summary, 10 Category Sections (use scanner evidence + agent narrative), Summary Table, Action Items (IMMEDIATE → HIGH → MEDIUM).
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Close with top 2-3 action items. If grade C or lower: suggest `/security threat-model`.
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## Step 6: HTML Report
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After producing the markdown audit report above:
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1. Compute a temp markdown path:
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```bash
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node -p "require('path').join(require('os').tmpdir(), 'sec-audit-' + Date.now() + '.md')"
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```
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2. Use the Write tool to save the **entire markdown report you just produced** (Risk Dashboard + Executive Summary + Category Sections + Summary Table + Action Items) to that temp path. Verbatim.
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3. Run the renderer:
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```bash
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node <plugin-root>/scripts/render-report.mjs audit --in "<temp-md-path>"
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```
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The CLI writes `reports/audit-<YYYYMMDD-HHmmss>.html` relative to CWD and prints `file:///abs/path.html` on stdout.
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4. Append to your response (markdown link, no bare URL):
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> **HTML report:** [Open in browser](file:///abs/path.html)
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If the CLI exits non-zero, mention the error but do not block — the markdown audit above is the primary deliverable.
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