Hver /security <cmd> som produserer rapport printer nå en klikkbar file://-lenke til en self-contained HTML-versjon. Levert over fem sesjoner; sesjon 5 wirer de 14 resterende skill-filene + slipper v7.7.0 (versjonsbump + docs). Sesjon-historikk: - Sesjon 1 (0dc7ff4) — playground katalog list-view + builder-pane med copy-knapp på alle 18 rapporter - Sesjon 2 (86d6ecd) — playground prosjekt-surface opprydding (stub-screen + topbar-splitt) - Sesjon 3 (fa5fb48) — extract 18 inline parsers + 18 inline renderers fra playground til canonical ESM-modul scripts/lib/report-renderers.mjs (playground beholder bit-identisk inline-kopi siden ESM import ikke fungerer fra file://) - Sesjon 4 (db80854) — ny zero-dep CLI scripts/render-report.mjs (stdin/file/stdout-modus, kebab→camel commandId-routing, ~140 KB self-contained HTML med 6 inlined DS-stylesheets + lokal .report-table, absolutte file://-paths for Ghostty cmd-click). 4 skills wired: scan, audit, posture, deep-scan. - Sesjon 5 (denne) — 14 resterende skills wired: plugin-audit, mcp-audit, mcp-inspect, ide-scan, supply-check, dashboard, pre-deploy, diff, watch, registry, clean, harden, threat-model, red-team. Hver skill-fil har nå en HTML Report-step som instruerer Claude å skrive markdown verbatim, kjøre CLI, og appende klikkbar file://-lenke til respons. Release-arbeid: - Versjonsbump v7.6.1 → v7.7.0 i 6 plugin-filer + 2 rot-filer (package.json, .claude-plugin/plugin.json, README badge, CLAUDE.md header + state-seksjon, docs/version-history.md, plugin Recent versions- tabell, rot README plugin-entry, rot CLAUDE.md plugin-katalog) - CHANGELOG [7.7.0] med full historikk fra sesjon 1-5 - docs/version-history.md v7.7.0-seksjon Verifisert: - 18/18 commandIds i CLI gir > 138 KB self-contained HTML - 1819/1820 tester grønne (pre-compact-scan-perf-flake fyrte under last, passerer i isolasjon på 1582 ms — pre-eksisterende, defer til v7.7.x) - 18/18 skill-filer har HTML Report-step - Ingen kildefil-treff på 7.6.1 utenfor historiske changelog/version- history/README releases-tabell Ingen scanner- eller hook-atferdsendringer — purely additive surface. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
3.4 KiB
| name | description | allowed-tools | model |
|---|---|---|---|
| security:clean | Scan and remediate security findings — auto-fixes deterministic issues, confirms semi-auto with user, reports manual findings | Read, Glob, Grep, Bash, Write, Edit, Agent, AskUserQuestion | sonnet |
/security clean [path] [--dry-run]
Scan, classify findings by remediability, auto-fix deterministic issues, propose semi-auto fixes, report manual. Goal: /security scan yields zero findings after clean.
Step 1: Setup
- Parse
$ARGUMENTS: extract path (default.),--dry-runflag. Resolve to absolute. - Plugin root = parent of this
commands/folder. - Unless dry-run: create backup via
node <plugin-root>/scanners/lib/fs-utils.mjs backup "<target>". Record backup path.
Step 2: Pre-Clean Scan
node <plugin-root>/scanners/lib/fs-utils.mjs tmppath clean-findings.json
node <plugin-root>/scanners/scan-orchestrator.mjs "<target>" --output-file "<findings_file>"
Show banner: Verdict, Risk Score, Finding counts. If 0 findings → stop.
Step 3: Auto-Fix
node <plugin-root>/scanners/auto-cleaner.mjs "<target>" --findings "<findings_file>" [--dry-run]
Report: Applied/Skipped/Failed counts + list of fixes.
Step 4: Semi-Auto Proposals
Collect semi_auto findings from auto-cleaner output. If any, spawn subagent_type: "llm-security:cleaner-agent", model: "sonnet":
Here are semi-auto findings: <JSON>. Target: <target>. Read: <plugin-root>/knowledge/secrets-patterns.md Return remediation proposals as JSON.
Present each proposal group via AskUserQuestion: "Apply all" / "Review individually" / "Skip". Apply approved fixes with Edit tool. Skip if dry-run.
Step 5: LLM Threat Scan
Spawn subagent_type: "llm-security:skill-scanner-agent", model: "sonnet":
Scan target: <target>. Read: <plugin-root>/knowledge/skill-threat-patterns.md, <plugin-root>/knowledge/secrets-patterns.md Return findings with severity, category, file, line, remediation.
Auto-fix deterministic LLM findings (injection comments, spoofed headers, exfil URLs). Present semi-auto via AskUserQuestion. Report manual findings.
Step 6: Validate + Re-Scan
Validate modified files (JSON parse, frontmatter, node --check). Restore from backup on failure. Re-run orchestrator to measure improvement.
Step 7: Report
Output: Pre/post comparison, all fix summaries, remaining manual findings, rollback instructions.
- Dry-run: show "DRY-RUN" mode, list proposed changes without applying.
Step 8: HTML Report
After producing the markdown clean report above:
-
Compute a temp markdown path:
node -p "require('path').join(require('os').tmpdir(), 'sec-clean-' + Date.now() + '.md')" -
Use the Write tool to save the entire markdown report you just produced (pre/post comparison + applied/skipped/failed fix summaries + remaining manual findings + backup/rollback path) to that temp path. Verbatim.
-
Run the renderer:
node <plugin-root>/scripts/render-report.mjs clean --in "<temp-md-path>"The CLI writes
reports/clean-<YYYYMMDD-HHmmss>.htmlrelative to CWD and printsfile:///abs/path.htmlon stdout. -
Append to your response (markdown link, no bare URL):
HTML-rapport: Åpne i nettleser
If the CLI exits non-zero, mention the error but do not block — the markdown report above is the primary deliverable.