ktg-plugin-marketplace/plugins/llm-security/commands/audit.md
Kjell Tore Guttormsen 03b8885b6e chore(llm-security): v7.7.2 — language consistency pass
~/.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>
2026-05-19 06:47:44 +02:00

70 lines
2.7 KiB
Markdown

---
name: security:audit
description: Full project security audit with OWASP LLM Top 10 assessment, scoring, and remediation plan
allowed-tools: Read, Glob, Grep, Bash, Agent
model: sonnet
---
# /security audit
Full security audit — 10 categories, OWASP LLM Top 10 aligned, A-F grade.
## Step 1: Run Posture Scanner
Run the deterministic posture scanner first for instant category results:
```
node <this plugin's scanners/posture-scanner.mjs> [cwd]
```
Parse JSON output. Record: grade, risk score, all category statuses, all findings.
## Step 2: Gather Context
1. Read `CLAUDE.md` for project name and type
2. Glob for: `commands/*.md`, `agents/*.md`, `.mcp.json`, `**/.mcp.json`, `.claude-plugin/plugin.json`
3. Determine: has skills/commands? has MCP servers?
## Step 3: Skill Scan (if commands/agents found)
Spawn `subagent_type: "llm-security:skill-scanner-agent"`, `model: "sonnet"`:
> Scan all commands/ and agents/ at [cwd].
> Read: \<plugin-root\>/knowledge/skill-threat-patterns.md
> Return findings: file, issue, severity, OWASP ref.
## Step 4: MCP Scan (if MCP servers found)
After skill scan, spawn `subagent_type: "llm-security:mcp-scanner-agent"`, `model: "sonnet"`:
> Audit MCP configs at [cwd]. Read: \<plugin-root\>/knowledge/mcp-threat-patterns.md
> Return trust table and findings with severity.
## Step 5: Generate Report
Merge posture scanner JSON + agent findings. Use the posture scanner's grade as the baseline.
Recalculate `risk_score = riskScore(counts)` (severity-dominated v2 model — see `scanners/lib/severity.mjs`) including agent findings.
Output: Risk Dashboard, Executive Summary, 10 Category Sections (use scanner evidence + agent narrative), Summary Table, Action Items (IMMEDIATE → HIGH → MEDIUM).
Close with top 2-3 action items. If grade C or lower: suggest `/security threat-model`.
## Step 6: HTML Report
After producing the markdown audit report above:
1. Compute a temp markdown path:
```bash
node -p "require('path').join(require('os').tmpdir(), 'sec-audit-' + Date.now() + '.md')"
```
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.
3. Run the renderer:
```bash
node <plugin-root>/scripts/render-report.mjs audit --in "<temp-md-path>"
```
The CLI writes `reports/audit-<YYYYMMDD-HHmmss>.html` relative to CWD and prints `file:///abs/path.html` on stdout.
4. Append to your response (markdown link, no bare URL):
> **HTML report:** [Open in browser](file:///abs/path.html)
If the CLI exits non-zero, mention the error but do not block — the markdown audit above is the primary deliverable.