“applicability”的搜索结果

Expert ISO 27701 Privacy Information Management System (PIMS) compliance advisor. Use this skill whenever a user asks about ISO/IEC 27701:2025, ISO/IEC 27701:2019, privacy information management, PIMS certification, PII controller or processor obligations, privacy risk assessment, Statement of Applicability for privacy, privacy by design, data subject rights, DPIA, records of processing activities, transitioning from ISO 27701:2019, GDPR alignment with ISO 27701, or any privacy management system topic. Also trigger for questions about Annex A.1 (controller controls), A.2 (processor controls), A.3 (shared security controls), or implementing a standalone PIMS without ISO 27001. When in doubt, use this skill — it covers the full ISO 27701 lifecycle from gap assessment through certification.

中文简介正在准备中。当前显示原文说明。

Determines whether a technology qualifies as an AI system under Art. 3(1) of the EU AI Act and classifies its risk tier (prohibited, high-risk, GPAI with systemic risk, limited risk, minimal risk). This skill should be used when the user asks to "classify an AI system under the AI Act", "determine the AI Act risk tier", "check if something is an AI system", "assess prohibited practices", "check high-risk classification", "determine Art. 6 exception applicability", or mentions "KI-Verordnung", "Risikoklassifizierung", Art. 5, Annex III, or GPAI systemic risk.

中文简介正在准备中。当前显示原文说明。

Trigger for: explaining current FAR, DFARS, or agency-supplement text; determining documented acquisition-policy status for an agency and FAR part; comparing codified text, RFO model text, and agency deviations; tracing acquisition rulemaking; finding procurement comment periods; analyzing public comments; refreshing prior policy analysis; or producing an Acquisition Policy Impact Brief. Use published federal sources and supplied policy documents without making legal or procurement-specific applicability determinations. Do not use for clause selection, market research execution, opportunities, pricing, grants, or cooperative agreements.

中文简介正在准备中。当前显示原文说明。

Oregon Consumer Privacy Act (OCPA) compliance. Unique provisions for de-identified data requirements, employee data partial exemption, nonprofit applicability, 14-day cure period, and consumer rights. Effective July 1, 2024. AG enforcement only.

中文简介正在准备中。当前显示原文说明。

Delaware Personal Data Privacy Act (DPPA) compliance implementation. Covers consumer rights (access, correct, delete, portability, opt-out), controller obligations, processor requirements, sensitive data consent, universal opt-out recognition, DPIA requirements, and AG enforcement. Effective January 1, 2025, with no revenue threshold for applicability.

中文简介正在准备中。当前显示原文说明。

Think and work like an expert Cheminformatician. Use when a task calls for Cheminformatician judgment. Reasons from Standard InChI identity and RDKit sanitization through ChEMBL pChEMBL harmonization, Morgan/ECFP fingerprints, scaffold splits and applicability domains, while treating tautomer collapse, KNIME-vs-Python canonicalization drift, and random-split QSAR leakage as first-class failure modes.

中文简介正在准备中。当前显示原文说明。

Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES gold-standard endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.

中文简介正在准备中。当前显示原文说明。

Builds and revises a complete skill DIRECTORY — SKILL.md, scripts, references, assets — and packages it. Use for "create a skill for X", "turn this into a skill", "update/improve this skill", "why doesn't my skill trigger", "review this SKILL.md", "package this skill", or when a repeated procedure should become a reusable artifact. Enforces the structure that makes skills work — a concrete procedure rather than a goal statement, an explicit applicability boundary, failure modes with their signals, a runtime verification step, and a description checked against the existing catalogue for confusability. For choosing whether the instruction should be a skill at all rather than project instructions or a prompt, use crafting-instructions. For writing quality inside the prose, use writing-instructions.

中文简介正在准备中。当前显示原文说明。

Use to assess regulatory applicability for products that may fall under AI regulation (EU AI Act, Article 50 transparency).

中文简介正在准备中。当前显示原文说明。

Research and populate tracked stablecoin compliance sidecars for the U.S. GENIUS Act, EU MiCA, or both. Use when adding or auditing authorization, applicability, pathway, or disclosure evidence.

中文简介正在准备中。当前显示原文说明。

Drafts a CCPA/CPRA-compliant privacy policy covering all required statutory disclosures under Cal. Civil Code §§ 1798.100–1798.199. Use when drafting or updating a California privacy policy, CCPA compliance notice, or consumer privacy disclosure for a business meeting CCPA applicability thresholds.

中文简介正在准备中。当前显示原文说明。

Predicts ADMET properties using ADMETlab 3.0 (119 platform features, including 77 prediction models with modeled-endpoint uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.

中文简介正在准备中。当前显示原文说明。

Use this skill when the implementation status column of a statement of applicability may not match reality, and the team asks "is our SoA accurate", "check the implemented column", "do we have evidence for every implemented control", "reconcile the SoA with our evidence", "pre-audit evidence check" or "the auditor found a control marked implemented with no records". Samples the records behind every control marked implemented, grades the evidence, proposes a corrected status for each row and writes a reconciliation table plus an evidence gap list with owners.

中文简介正在准备中。当前显示原文说明。

Use this skill when a statement of applicability already exists and the team wants its exclusions to survive the audit, and asks "review our SoA exclusions", "is this a valid justification", "can we exclude physical security if we are fully remote", "the auditor challenged our not applicable controls", "rewrite our exclusion justifications" or "we outsource it, so it does not apply, right". Tests every excluded control against scope, assets, activities, suppliers, risks and commitments, gives each a keep, rewrite, reverse or ask verdict, and writes a review table plus rewritten justifications for the owner to approve.

中文简介正在准备中。当前显示原文说明。

Use this skill when the risk register and the statement of applicability were written separately and may not agree, and the team asks "do our risks link to our controls", "traceability between risk treatment and the SoA", "why is this control applicable", "the auditor could not trace a risk to a control", "check our risk treatment plan against the SoA" or "orphan controls". Checks in both directions that every treated risk points to controls and actions, and every applicable control traces back to a risk or obligation, then writes a traceability matrix and a list of orphans and contradictions with proposed fixes.

中文简介正在准备中。当前显示原文说明。

Knowledge pack reconstructed from JSP 815 Defence Safety Management System V1.3 (Ministry of Defence, Open Government Licence v3.0): the SMS Framework, all 12 Elements with their Expectations and Performance Statement themes, and Annexes A to F plus H. Covers the Defence Safety Function and which JSP applies, leadership and safety culture, organisation and SEMS applicability, legislation and exemption certificates, risk assessment and safety cases, supervision and contracting, competence and letters of delegation, equipment and infrastructure safety, performance and incident management, and assurance, audit, and the ISO 45001 clause mapping. SCOPE LIMITS: single-source (JSP 815 V1.3 with Annex H V1.2); carries no DEF-STAN 00-051 or DEF-STAN 00-970 content, no JSP 375, JSP 816; acquisition safety policy is in jsp-376, no Annex G (Assurance Toolkit), and no ISO 45001 text (clause numbers only). This pack is reconstructed reference notes, not MOD guidance, and has no official status.

中文简介正在准备中。当前显示原文说明。

Knowledge base from DAFMAN 63-119 (15 April 2021), Mission-Oriented Test Readiness Certification. Use for continuous MOTRC replacing single-point OTRR thinking: framework/applicability, Certification Official vs PM roles, review cycle and exit criteria, certification memo/decertify gates, DT&E/contractor evidence, ITT integration and cyber resiliency, and the 31-template matrix. DAF T&E readiness process only—does not replace DoDI 5000.89, AFI 99-103, or multi-service lead policies.

中文简介正在准备中。当前显示原文说明。

Quietly reuse and improve verified coding lessons across agents. Use for a nontrivial debugging or implementation problem where an earlier solution could help, when a Blaze offer or receipt appears, or when the user asks to inspect, install, update, contribute to, or link Blaze. Check applicability, verify locally, and close the lookup with an honest outcome and contribution disposition without adding routine user-visible narration.

中文简介正在准备中。当前显示原文说明。

Use when reviewing a project's architecture for design pattern applicability -- either validating a design document before implementation, or analyzing an existing codebase for pattern improvement opportunities.

中文简介正在准备中。当前显示原文说明。

Execute production-readiness gates with applicability control, consolidate validation report, and issue final readiness verdict

中文简介正在准备中。当前显示原文说明。

Builds QSAR / QSPR models using chemprop D-MPNN, MolFormer, Uni-Mol, ChemBERTa, random forest baselines, and Gaussian processes with explicit handling of OECD 5 principles, applicability domain (kNN, leverage, conformal prediction, Mahalanobis), scaffold-balanced splits, ensemble uncertainty, calibration (Platt, isotonic), feature importance (SHAP, atomic attribution), and prospective validation. Use when building target-specific predictive models from in-house bioassay data, ADMET endpoints, or selectivity profiles.

中文简介正在准备中。当前显示原文说明。

Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES gold-standard endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.

中文简介正在准备中。当前显示原文说明。

Predicts ADMET properties using ADMETlab 3.0 (119 endpoints with uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES gold-standard endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model.

中文简介正在准备中。当前显示原文说明。

Builds QSAR / QSPR models using chemprop D-MPNN, MolFormer, Uni-Mol, ChemBERTa, random forest baselines, and Gaussian processes with explicit handling of OECD 5 principles, applicability domain (kNN, leverage, conformal prediction, Mahalanobis), scaffold-balanced splits, ensemble uncertainty, calibration (Platt, isotonic), feature importance (SHAP, atomic attribution), and prospective validation. Use when building target-specific predictive models from in-house bioassay data, ADMET endpoints, or selectivity profiles.

中文简介正在准备中。当前显示原文说明。