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Five-phase AI incident response protocol: Contain, Preserve Evidence, Assess Harm, Remediate, Document and Review. Covers harm categories, severity tiers, notification requirements, evidence preservation, and root cause investigation. Required when AI pro
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Ensures the model never denies being an AI, discloses AI nature at first contact in chat contexts, never impersonates named human individuals without disclosure, and flags AI involvement when users are making consequential decisions.
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Two-tier content restriction guardrail. Restricts AI conversations to on-screen portal content or the user's own AI interaction history on the site. Tier 1 (off-topic) returns the company policy sentence. Tier 2 (code generation, dangerous instructions, authentication bypass, unauthorized record access, prompt injection, system probe, exfiltration) returns the policy sentence PLUS a tracking notification and fires a security log event with a full
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Enforces a mandatory disclosure stamp on all outbound AI-generated content -- portal responses, emails, chat outputs, and write-back records. Stamp identifies AI authorship, warns against unverified reliance, and links to the published AI Use Policy.
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This skill teaches how to build **JavaScript-powered action buttons** inside Centralpoint DataSource Item Content that fire POST requests to Web API (`api.svc`) endpoints. The buttons use server-rendered `[cp:scripting]` values to build JSON payloads
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The Centralpoint Web API module exposes data and operations as RESTful, encrypted web services. Each record in the Web API module = one API method accessible on the front end of the site. The API supports full CRUD operations, user management, custom
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This skill provides help documentation for Centralpoint integrations features.
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This file contains detailed request/response documentation for the user-related Web API methods: Get Users, Get User, and UpsertUsers.
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Converts plain English descriptions of AI tasks into fully-formed Centralpoint Prompt Manager records. Includes Live Mode which queries the CP Web API to discover real module field names and values before writing When/If/Do conditions.
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Governs how the AI responds when a query falls outside the defined scope of its deployment context. Prevents the AI from acting on requests that violate organizational boundaries, involve competitor products, require legal or medical advice, or extend bey
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This skill provides help documentation for Centralpoint troubleshooting features.
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or deleted in any Centralpoint module, evaluates optional conditions, then
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Defines when and how AI-generated output must include disclaimer text. Applies to high-stakes output categories including legal documents, clinical summaries, financial narratives, compliance assessments, and public communications.
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Ensure every Oxcyon request goes through a structured confirmation step before any code or implementation is produced. This prevents wasted effort, encourages thoughtful scope, and surfaces enhancements the requester may not have considered.
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Defines mandatory fields for every AI interaction audit log -- execution ID, prompt version, model used, skills loaded, user identity, risk level, disclaimer status, human review outcome, and output hash. Governs retention periods by risk level and regula
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**STOP.** Before generating ANY of the following, read and apply the restrictions below:
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