feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command
Add /ultraresearch-local for structured research combining local codebase analysis with external knowledge via parallel agent swarms. Produces research briefs with triangulation, confidence ratings, and source quality assessment. New command: /ultraresearch-local with modes --quick, --local, --external, --fg. New agents: research-orchestrator (opus), docs-researcher, community-researcher, security-researcher, contrarian-researcher, gemini-bridge (all sonnet). New template: research-brief-template.md. Integration: --research flag in /ultraplan-local accepts pre-built research briefs (up to 3), enriches the interview and exploration phases. Planning orchestrator cross-references brief findings during synthesis. Design principle: Context Engineering — right information to right agent at right time. Research briefs are structured artifacts in the pipeline: ultraresearch → brief → ultraplan --research → plan → ultraexecute. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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commands/deep-scan.md
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commands/deep-scan.md
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---
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name: security:deep-scan
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description: Run deterministic deep-scan — 9 Node.js scanners for Unicode attacks, entropy analysis, permission mapping, dependency auditing, taint tracing, git forensics, network mapping, memory poisoning, and toxic flow analysis
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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 deep-scan [path]
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9 deterministic Node.js scanners — entropy, Unicode, typosquatting, git forensics, taint tracing, dep audit, network mapping, memory poisoning, toxic flow analysis.
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## Step 1: Setup
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- `$ARGUMENTS` empty → target = cwd. Otherwise target = `$ARGUMENTS` (strip `--deep`).
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- Plugin root = parent of this `commands/` folder.
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- Get temp path: `node -p "require('path').join(require('os').tmpdir(), 'deep-scan-results.json')"`
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## Step 2: Run Orchestrator
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```bash
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node <plugin-root>/scanners/scan-orchestrator.mjs "<target>" --output-file "<results_file>"
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```
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Exit 0=ALLOW, 1=WARNING, 2=BLOCK. Stdout = compact aggregate JSON. Full results in file.
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## Step 3: Show Banner
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```
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## Deep Scan: [VERDICT]
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Risk Score: X/100 | Findings: XC XH XM XL XI
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Scanners: X ok, X error, X skipped
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```
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## Step 4: Synthesize Report
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Spawn `subagent_type: "llm-security:deep-scan-synthesizer-agent"`, `model: "sonnet"`:
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> Read scan results from: \<results_file\>
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> Read: \<plugin-root\>/knowledge/mitigation-matrix.md
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> Produce complete report with actionable insights. Don't pad.
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Output the synthesizer's report. If it fails, show banner + CRITICAL/HIGH findings from JSON.
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