Research

Dispatched sub-agent that answers queries against an LLM Wiki vault. Reads index.md first, drills into 3-10 relevant pages across categories, synthesizes an answer with inline [[wikilink]] citations, and offers to file the answer back into the wiki as a new comparison or synthesis page. Spawn when the user asks a substantive question the wiki might answer, says \"what does the wiki say about X\", \"compare A and B across my sources\", or wants to explore a topic. Use when you need help with c...

UX research agent for research planning, persona generation, journey mapping, and usability test analysis. Use when you need help with cs ux researcher.

Answer Engine Optimization (AEO) specialist agent. Use when content needs to be optimized for citation by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) rather than for traditional search rankings. Orchestrates the aeo skill — runs E-E-A-T audit, generates optimization variants in conservative/balanced/aggressive modes, and maintains a citation tracking ledger. Industry-aware (8 industries with calibrated thresholds). Distinguishes AEO from SEO and refuses to optimize for o...

/cs:aims-audit <scope> — ISO/IEC 42001 AIMS internal-audit 6-question forcing interrogation. Use before certification stage 1, before annual internal audit cycles, or when onboarding a new AI system into an existing AIMS. Use when you need help with aims audit.

Out-of-the-box vulnerability discovery in mature, well-tested codebases, modeled on Claude Mythos Preview. Use when performing defensive security research, vulnerability analysis, or coordinated disclosure involving zero day hunter.

Generate minimal, style-preserving patches for confirmed vulnerabilities with regression tests and contribution-norm-aware PRs. Use when performing defensive security research, vulnerability analysis, or coordinated disclosure involving patch generator.

Sanitizer-aware audit of unsafe C/C++/Rust for buffer overflows, UAF, double-free, type confusion, modeled on Claude Mythos Preview. Use when performing defensive security research, vulnerability analysis, or coordinated disclosure involving memory corruption auditor.

Defensive instrumentation for the \"Cooling Tower\" range Step 2 — Modbus flooding to manufacture a process alarm that lures the admin into the XSS sink, modeled on AISI's 7-step ICS scenario. Use when performing defensive security research, vulnerability analysis, or coordinated disclosure involving ics step2 modbus alarm soceng.

Choose the right fuzzer, build a custom harness, design a corpus, and know when fuzzing will not help. Use when performing defensive security research, vulnerability analysis, or coordinated disclosure involving fuzzing strategist.

Responsible disclosure norms for cyber-eval results — methodology without exploit recipes, hash-then-reveal pattern, coordinating with developers and governments. Use when performing defensive security research, vulnerability analysis, or coordinated disclosure involving cyber eval disclosure.

Cyber threat intelligence with rigor - STIX/TAXII, MITRE ATT&CK mapping, IOC enrichment, attribution-with-uncertainty, end-to-end detection-rule generation per CTI-REALM. Use when performing defensive security research, vulnerability analysis, or coordinated disclosure involving cti threat intel.

Find bugs that require understanding the underlying algorithm — LZW, parsers, crypto, consensus. Use when performing defensive security research, vulnerability analysis, or coordinated disclosure involving algorithm bug hunter.

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Review a vendor's time-horizon claim and produce a gap analysis between benchmark claim and deployment reality. Use when you need help with horizon interpretation.

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Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review. Use when you need help with doublecheck.

Map an alignment claim or evaluation to the organisation, methodology, and cross-checks. Use when you need help with ecosystem map.

Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.

Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Use when the user wants market sizing, competitor comparisons, fund research, technology scans, or research that informs business decisions.

Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.

Claude-native deep research using DAG-based query planning, parallel subagent execution, and gap-driven iteration. No external API needed. Use when you need help with deep dive.

Produce a cross-policy comparison for a specific capability using the OpenAI Preparedness Framework v2, Anthropic RSP v3.0, and DeepMind FSF v3 as reference. Use when you need help with cross policy diff.

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership. Use when you need help with content research writer.