
from de-anthropocentric-research-engine381
Orchestrates a full adversarial assessment: surface enumeration, attack-vector generation, probing, and aggregated findings to score attack resilience.
Orchestrates a complete attack lifecycle: discovers attack surfaces, generates prioritized attack vectors, executes budgeted probes, and aggregates findings into deduplicated, classified reports. It supports follow-up depth-first probing on partial successes and computes resilience/coverage scores. Useful for automated red-team style assessments in research or security workflows.
Use when you need systematic adversarial testing or threat-surface analysis across complex artifacts (APIs, codebases, infra). Trigger when a user requests red-team style exploration, vulnerability hunting, or resilience scoring.
Inferred compatibility: agents with orchestration and scripting capability (Claude Code, Gemini/CLI-style agents, automation-focused LLM runtimes).
This skill is a pure-markdown orchestration tactic for structured adversarial testing. It defines a workflow (threat surface mapping → attack vector generation → probing → finding aggregation → resilience scoring) with clear termination conditions. No scripts are bundled — it relies on 5 dependent SOPs from the same framework. Works as a specification but cannot function standalone.
Part of a research engine framework. The 'attack' terminology refers to adversarial testing/resilience scoring, not offensive operations. No security concerns despite the topic — the skill is a harmless specification document. Limited standalone utility since it depends on 5 separate SOPs.
Evaluation Filtering
Multi-stage evaluation pipeline that scores ideas for novelty, assesses feasibility, ranks them, and selects top candidates for further development.
Claim Extraction
Extract and decompose claims from source material into atomic propositions, classify claim types, and create structured claim pages for research workflows.
Final Research Validation
A quality gate that self-reviews research artifacts for completeness and consistency before final delivery.