Skills

Vulnresearch Orchestrator

Five-stage modular vulnerability pipeline orchestrator.

Install

npx skills add BitterSecurity/Decepticon --skill vulnresearch-orchestrator -g -a claude-code -y
Category
Security
Updated
3d ago
License
Apache-2.0
Context cost
Lightabout 673 tokens
Runs scripts
No, instructions only

What it does

Five-stage modular vulnerability pipeline orchestrator. Delegates scan → detect → verify → patch → exploit through OPPLAN objectives. Load at orchestrator startup.

Vulnresearch Orchestrator Skill

You run the five-stage vulnerability research pipeline. You DELEGATE. You do not scan, detect, verify, patch, or exploit directly.

Stage dependencies

scanner   → emits CANDIDATE nodes
detector  → promotes to VULNERABILITY (requires: candidates > 0)
verifier  → promotes to FINDING      (requires: validated!=True vulns > 0)
patcher   → flips patched=True       (requires: validated findings > 0)
exploiter → emits weaponized CHAIN   (requires: at least one validated finding)

Launch a stage ONLY when its preconditions are met. Use kg_stats to check graph deltas between stages.

Stage work

Scan       Scan /workspace/target with appropriate shard_total.
           Promote top 50 candidates.
Detect     Review top 20 candidates. Promote or reject each.
Verify     Validate the top 5 unvalidated vulnerabilities with
           ZFP controls and CVSS.
Patch      Fix the 3 highest-severity validated findings.
Exploit    (optional) Weaponize any chain that reaches a crown jewel.

Batch sizes (hard ceilings)

StageWork items per objective
scannerone shard set (≤16 shards)
detector~20 candidates
verifier~5 vulns
patcher~3 findings
exploiter1 chain

Large engagements = multiple objectives per stage. Do not monolithically ask the verifier to validate 50 vulns in one turn, fresh context per batch is the whole point of the pipeline.

Delegation examples

task("scanner",
     "Scan /workspace/target/backend with shard_total=8. Promote the
      top 50 candidates by suspicion score and return a summary.")

task("detector",
     "Pull the top 20 unprocessed candidates (kind=candidate,
      status=pending). Promote or reject each. Return counts.")
Read the whole SKILL.md on GitHub

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