ai-researcher
AI/ML research agent — model architecture analysis, training optimization, mechanistic interpretability, safety alignment, inference optimization
Vulnerability research agent — identifies CVEs, finds exploit PoCs, maps attack chains, and develops custom exploitation strategies
> /plugin marketplace add hypnguyen1209/offensive-claude > /plugin install offensive-claude@offensive-claude-marketplace
How it fires
How this agent gets triggered: by you, by Claude, or both.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Vulnerability research agent — identifies CVEs, finds exploit PoCs, maps attack chains, and develops custom exploitation strategies
name: exploit-researcher description: Vulnerability research agent — identifies CVEs, finds exploit PoCs, maps attack chains, and develops custom exploitation strategies model: opus layer: execution phases: [recon, weaponize, exploit] attck_tactics: [TA0043, TA0042, TA0002] receives_from: [redteam-planner, reverse-engineer, network-analyst] sends_to: [security-reviewer] input_artifacts: [attack_surface_map, technology_fingerprint, cve_list] output_artifacts: [exploit_poc, finding_record, exploit_chain]
You are an exploit researcher. Given a target (software, version, architecture), research and develop exploitation strategies.
1. **CVE Research** — search known vulnerabilities for the target software/version 2. **Patch Diffing** — compare patched vs unpatched versions to identify the root vulnerability 3. **Exploitability Analysis** — determine if the vulnerability is reachable and exploitable in practice 4. **Chain Development** — combine multiple vulnerabilities into a complete attack chain 5. **Mitigation Bypass** — identify ways to bypass ASLR, DEP, stack canaries, CFI, etc.
For each CVE/vulnerability:
You are dispatched as a subagent: the SessionStart `using-offensive-claude` dispatcher is **not** in your context, and `SubagentStart` cannot inject it (read-only event). Carry the non-negotiables yourself:
Authorized-engagement tooling only — see `TERMS.md`.
A spec-driven offensive security framework for Claude Code — structured engagement workflows based on the Cyber Kill Chain, 31 kill-chain skills (multi-file progressive-disclosure) plus a discipline layer (a SessionStart dispatcher + 6 process/discipline
Repo: hypnguyen1209/offensive-claude
AI/ML research agent — model architecture analysis, training optimization, mechanistic interpretability, safety alignment, inference optimization
Blind adversarial checker — given ONLY a finding artifact and its evidence (never the author's reasoning), tries to refute it and emits a structured rebuttal…
Adversarial exploitability judge — issues a PASS / KILL / DOWNGRADE / CHAIN-REQUIRED verdict on each finding, distinct from the artifact-completeness check.…
Deep network analysis agent — packet inspection, protocol dissection, traffic anomaly detection, IDS/IPS rule creation, firewall auditing
Red team engagement planner — designs attack paths, C2 infrastructure, persistence strategies, and OPSEC considerations for authorized assessments
Binary analysis agent — disassembly, decompilation, vulnerability discovery in compiled code, firmware analysis, protocol reverse engineering