Kjell Tore Guttormsen
db80854830
- New scripts/render-report.mjs CLI: stdin/file/stdout modes, ESM import
from ./lib/report-renderers.mjs, kebab→camel renderer-name lookup so
any of the 18 PARSERS works
- Standalone HTML wrap: inlines 6 DS stylesheets (tokens, base, components,
tier2, tier3, tier3-supplement) + local .report-table CSS. Skips fonts.css
→ system-ui fallback via tokens.css (~137 KB self-contained vs ~1 MB
with woff2 bundled)
- 4 skill files wired: commands/{scan,audit,posture,deep-scan}.md — new
step instructs Claude to Write the markdown report to a temp file,
invoke the CLI, and print a markdown-formatted file:// link
- Absolute file:// paths in stdout for Ghostty cmd-click compatibility
- Default output: reports/<command>-<YYYYMMDD-HHmmss>.html relative to CWD
- Smoke-tested: stdin→stdout, file→file roundtrip, all 4 commands produce
valid HTML with DS-aligned page-shell (page__title, verdict-pill-lg,
risk-meter, key-stats, findings__item, recommendation-card)
- Tests 1820/1820 green (same baseline; pre-compact-scan perf-flake from
NEXT-SESSION-PROMPT did not fire on retry)
- Playground untouched (2 scripts, 0 parse failures), report-renderers.mjs
untouched (74 exports, 18 PARSERS, 18 RENDERERS)
Sesjon 4 av 5. v7.7.0 release + 9 remaining skill wirings = sesjon 5.
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-rapport:** [Åpne i nettleser](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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