Kjell Tore Guttormsen f153f969a0 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>

2026-04-08 08:58:35 +02:00

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name	description	allowed-tools	model
security:deep-scan	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	Read, Glob, Grep, Bash, Agent	sonnet

/security deep-scan [path]

9 deterministic Node.js scanners — entropy, Unicode, typosquatting, git forensics, taint tracing, dep audit, network mapping, memory poisoning, toxic flow analysis.

Step 1: Setup

$ARGUMENTS empty → target = cwd. Otherwise target = $ARGUMENTS (strip --deep).
Plugin root = parent of this commands/ folder.
Get temp path: node -p "require('path').join(require('os').tmpdir(), 'deep-scan-results.json')"

Step 2: Run Orchestrator

node <plugin-root>/scanners/scan-orchestrator.mjs "<target>" --output-file "<results_file>"

Exit 0=ALLOW, 1=WARNING, 2=BLOCK. Stdout = compact aggregate JSON. Full results in file.

Step 3: Show Banner

## Deep Scan: [VERDICT]
Risk Score: X/100 | Findings: XC XH XM XL XI
Scanners: X ok, X error, X skipped

Step 4: Synthesize Report

Spawn subagent_type: "llm-security:deep-scan-synthesizer-agent", model: "sonnet":

Read scan results from: <results_file> Read: <plugin-root>/knowledge/mitigation-matrix.md Produce complete report with actionable insights. Don't pad.

Output the synthesizer's report. If it fails, show banner + CRITICAL/HIGH findings from JSON.

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