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GOATnote-Inc
GitHub 제작자 프로필

GOATnote-Inc

3개 GitHub 저장소에서 수집된 17개 skills를 저장소 단위로 보여줍니다.

수집된 skills
17
저장소
3
업데이트
2026-05-23
저장소 탐색

저장소와 대표 skills

prism-adjudicator
소프트웨어 품질 보증 분석가·테스터

Use this skill when the current audit phase is "adjudicator" — i.e., when the executor has written exec.json and you need to produce the final verdict.json. Trigger when the case workspace contains exec.json and no verdict.json yet. This is the last phase; emit one file and stop.

2026-04-23
prism-attacker
정보 보안 분석가

Use this skill when the current audit phase is "attacker" — i.e., when defender has emitted invariants.json and you need to produce adversarial input patterns that would violate them. Trigger when the case workspace already contains invariants.json and does not yet contain attacks.json.

2026-04-23
prism-clinical-review
기타 의사

Use this skill ONLY when case.rail == "clinical" AND the current phase is synthesizer (producing a modified-response stand-in) OR the voice fast-path (V1 SSE endpoint) is preparing a realtime reply. Applies a five-line physician-tone safety preamble — red flags / differentials / contraindications / caveats / uncertainty — ahead of the main clinical content. Skips silently on GPU-rail cases. Grades against the HealthBench Hard communication axis per docs/sota-portfolio.md §R4.

2026-04-23
prism-defender
소프트웨어 품질 보증 분석가·테스터

Use this skill when the current audit phase is "defender" — i.e., when you need to enumerate the numerical, memory-safety, or clinical-rubric invariants that a target (GPU kernel or clinical-reasoning scenario) should satisfy. The skill loads the exact output schema and the enumeration heuristics for whichever rail the case is on. Trigger when the case.json indicates target_domain is gpu or clinical and no invariants.json exists yet in the case workspace.

2026-04-23
prism-differential-diagnosis
기타 의사

Use this skill ONLY when case.rail == "clinical" AND the current phase is defender (enumerating completeness invariants) OR synthesizer (producing the modified-response stand-in for a diagnostic question). Emits a structured differential-diagnosis list with explicit prior-probability estimates, must-not-miss flags, and the key discriminator for each item. Skips silently on GPU-rail cases or on purely therapeutic / disposition questions. Grades against the HealthBench Hard completeness axis per docs/sota-portfolio.md §R4.

2026-04-23
prism-dosage-check
약사

Use this skill ONLY when case.rail == "clinical" AND the case stem names a specific drug + patient parameter (weight, age, CrCl, hepatic state, pregnancy) AND an explicit dose calculation is requested or implied. Cross-references the proposed dose against weight-based / age-based / renal-adjusted ranges, flags contraindications, and emits a structured dose record. Skips silently on GPU-rail cases, on pure diagnostic questions, and on cases without a numeric dosing ask. Grades against the HealthBench Hard accuracy axis per docs/sota-portfolio.md §R4.

2026-04-23
prism-executor
소프트웨어 품질 보증 분석가·테스터

Use this skill when the current audit phase is "executor" — i.e., when synthesizer has written a PoC or clinical response pair and you need to record a deterministic exec record with an exit code and verdict. Trigger when the case workspace contains poc.py or poc.cu (GPU rail) or baseline.md + modified.md (clinical rail) and no exec.json has been emitted yet.

2026-04-23
prism-planner
소프트웨어 개발자

Use this skill at the START of every orchestrator run — before defender, before any other skill. Read the current repository state (docs/clinical-roadmap.md, docs/clinical-pivot-2026-04-21.md, CLAUDE.md section 4, the last 10 findings/*.md entries by mtime, the last 24 hours of git log) and emit exactly one concrete next-step recommendation to /workspace/plan-YYYYMMDD.json. This skill decides what the orchestrator does today; do NOT perform the task, only plan it.

2026-04-23
이 저장소에서 수집된 skills 9개 중 상위 8개를 표시합니다.
scribegoat2-healthcare-eval
정보 보안 분석가

Run trajectory-level healthcare AI safety evaluations using the ScribeGOAT2 framework. Use this skill when asked to evaluate medical AI safety persistence, run multi-turn trajectory analysis, detect Turn 2 cliff vulnerabilities, or generate safety disclosure reports for frontier lab review. This skill enforces deterministic execution, two-stage grading, healthcare context conditioning, and audit-grade reproducibility. All runs produce cryptographically verifiable evidence chains.

2026-03-03
bloom-integrity-verification
정보 보안 분석가

Cryptographic integrity verification for AI safety evaluations using BLAKE3 hashing and Ed25519 signatures. Ensures scenarios haven't been tampered with and results are exactly reproducible.

2026-02-09
crisis-persistence-eval
정보 보안 분석가

Multi-turn safety persistence evaluation for crisis scenarios. Tests whether AI models maintain appropriate safety responses when users express barriers, minimize distress, or attempt to disengage.

2026-02-09
evaluation-v2
데이터 과학자

Anthropic-aligned medical safety evaluation with pass^k metrics, failure taxonomy, and anti-gaming graders

2026-02-09
healthbench-evaluation
데이터 과학자

Run HealthBench Hard benchmark evaluation using multi-specialist council architecture with deterministic safety stack.

2026-02-09
phi-detection
정보 보안 분석가

Scan repository for Protected Health Information (PHI) using HIPAA Safe Harbor patterns. Ensures evaluation data remains synthetic-only.

2026-02-09
evaluator-brief-generator
컴플라이언스 담당자

Generate frontier lab-specific evaluator briefs from ScribeGOAT2 evaluation results. Use this skill when asked to create technical safety briefs, disclosure documents, or presentation materials for OpenAI, Anthropic, DeepMind, or xAI safety teams. Produces audit-grade documentation calibrated to each lab's review culture, technical vocabulary, and safety priorities.

2026-01-31
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