Real Skill packageSource verifiedClawHub registry

AI Model Asset Management(AI模型资产管理)

AI 模型与资产全生命周期管理(LLMOps)实操手册——从"有模型在用"到"资产清清楚楚":资产全景与台账(模型/Prompt/知识库/评估集/Agent 配置五类资产登记)、模型卡与注册(Model Card 字段规范、注册流程、元数据管理)、版本管理(模型/Prompt/知识库版本化、灰度发布、一键回滚)、上线下线管理(上线审批、退役下线、废弃处置与迁移)、漂移监控(数据漂移/概念漂移/模型漂移、监控指标与告警阈值)、成本治理(Token 成本核算、预算控制、路由分层、蒸馏与缓存降本)、治理制度与流程(角色职责、审批流、审计留痕)。附零依赖本地工具一键出盘点清单、模型卡模板、生命周期检查、漂移监控要点与成本治理清单。面向 AI 平台、工程、运维与财务负责人——与企业 AI 治理(管制度)互补,本技能管资产与工程。

Identity and source

Publisher attributionzhaoxinghua09-cellregistry owner unverified by skillvetai
Functional categoryWriting, Content & Translationautomatically inferred · 56% rule confidence
Package forminstruction with code19 recorded files
Canonical sourceClawHub registryclawhub:zhaoxinghua09-cell:ai-llmops
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 8/27/2026.claude/skills/ai-llmops

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 8/27/2026.agents/skills/ai-llmops

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 8/27/2026skills/ai-llmops

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @zhaoxinghua09-cell/ai-llmops
clawhub inspect @zhaoxinghua09-cell/ai-llmops --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.

Status
completed
Coverage
full text content
Files
18 / 19 inspected as text
Checked
8/27/2026, 10:18:59 PM
Scanner
0.1.3
Policy
1.0.3
3 inferred permission indicators
  • shell execution — automatically inferred
  • network access — automatically inferred
  • filesystem write — automatically inferred
2 dependency and API indicators
  • api: clawhub.ai
  • api: www.w3.org
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
8/27/2026, 5:23:15 PM
Release binding
Matches this record
  • vt: clean
  • skillspector: clean
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:1b5f48a8dc0e85b6488d85172267329e1e29ab4a725dbdc38f357c8bd6e24cdf
Show up to 19 recorded paths
  • ATTESTATION.md
  • LICENSE.md
  • manifest.json
  • references/01-资产全景与台账.md
  • references/02-模型卡与注册.md
  • references/03-版本管理.md
  • references/04-上线下线管理.md
  • references/05-漂移监控.md
  • references/06-成本治理.md
  • references/07-治理制度与流程.md
  • references/08-FAQ.md
  • SECURITY_AUDIT.md
  • skill-card.md
  • SKILL.md
  • tools/llmops_toolkit.py
  • verify/gen_security_radar.py
  • verify/llmops_quality_test.py
  • verify/security_results.json
  • verify/security-radar.svg

Source changelog

v1.0.0: hands-on playbook for AI model and asset lifecycle management (LLMOps) - five asset types inventory (models, prompts, knowledge bases, evaluation sets, agent configs), Model Card and registration, version management with canary release and one-click rollback, launch approval and retirement, drift monitoring (data/concept/model drift with alert thresholds), cost governance (token accounting, budgets, routing tiers, distillation and caching), governance processes (roles, approval flows, audit); 5-command zero-dependency toolkit