一键导入
authoritative-source-map
Define which sources are authoritative for a purpose, who owns them, who may use them, how conflicts resolve, and when trust expires.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Define which sources are authoritative for a purpose, who owns them, who may use them, how conflicts resolve, and when trust expires.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Diagnose missing, stale, conflicting, inaccessible, excessive, sensitive, or untrusted context and recommend the next source, package, data, or lifecycle intervention.
Assess whether data is fit for a specific AI product decision across provenance, quality, access, representativeness, consent, privacy, freshness, and operations.
Recommend the product, model, workflow, human, and production evaluations needed for an AI decision, based on behavior, consequences, evidence gaps, and lifecycle stage.
Diagnose AI portfolio imbalance, premature scaling, weak evidence, vendor exposure, and zombie pilots; recommend where to explore, validate, scale, pause, or stop.
Design preventive controls, detection, triage, containment, rollback, communication, investigation, remediation, learning, and reporting for AI incidents.
Turn scattered AI ambition into an evidence-aware product strategy thesis with choices, boundaries, outcomes, assumptions, and next bets. Use when direction or non-goals are unclear.
| name | authoritative-source-map |
| description | Define which sources are authoritative for a purpose, who owns them, who may use them, how conflicts resolve, and when trust expires. |
| type | component |
| category | context-knowledge-and-data |
| phase | 2 |
| status | active |
| operating_level | ["organization","product-team","initiative"] |
| audience | ["Product Operations","Product Manager","Team Lead","Data","Knowledge Management","Privacy","Security","AI Governance"] |
| best_for | ["Resolving conflicting organizational sources","Preparing trusted context for AI-assisted work","Assigning source ownership and refresh"] |
| evidence_required | ["Actual source inventory","Ownership and permission records","Conflict and failure examples","Refresh and usage evidence"] |
| produces | ["Purpose-specific authoritative source map","Conflict and trust rules","Ownership and remediation actions"] |
| assessment_questions | ["CTX-01","CTX-02","CTX-05"] |
| maturity_move | {"from":"emerging","to":"repeatable"} |
| estimated_time | 45-90 min |
| group_size | 3-10 |
| depends_on | ["aipom-context-readiness-advisor"] |
| combine_with | ["aipom-context-package-builder","aipom-data-readiness-audit","aipom-context-lifecycle-designer"] |
| sources | [] |
Define the trust role of each source for a named decision or workflow: authoritative, supporting, derived, disputed, restricted, or excluded. Assign ownership, audiences, permissions, refresh, expiry, and conflict resolution.
Retrieval can make conflicting or stale information easier to find without making it trustworthy. A purpose-specific map prevents “single source of truth” slogans from hiding scope, ownership, and exceptions.
Use when teams repeatedly reconcile sources, context packages lack provenance, or AI behavior changes with retrieval order. Map sources for a defined purpose rather than declaring one enterprise source universally authoritative.
Include source owners and users, the workflow or decision owner, data or knowledge stewards, and privacy, security, legal, or governance partners where restrictions apply.
Bring real source samples, metadata, lineage, permissions, update histories, consumer use, conflicts, failures, and ownership records. A source title is not evidence of authority.
Use for policy retrieval, product decisions, customer facts, research repositories, operating metrics, support knowledge, and context-package governance.
Use aipom-context-package-builder to assemble bounded context, aipom-data-readiness-audit for data fitness, and aipom-context-lifecycle-designer for persistence and expiry.
This skill is an original AIPOM synthesis of information governance, knowledge stewardship, provenance, and context-engineering practice.