ai-hive-advisor-performance-metrics SKILL.md skillA
ai-hive-advisor-performance-metrics from wubin1836/ai-hive-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wubin1836/ai-hive-agent-skills/ai-hive-advisor-performance-metrics@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wubin1836/ai-hive-agent-skills
- Path
skills/ai-hive-advisor-performance-metrics/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Sep 10, 2026
- Size
- 5,556 bytes
- Repository stars
- 23
- License
- MIT
面向指标越设越多、员工只追数字却偏离业务目标的问题，AI-HIVE顾问把岗位可控成果、数据口径和可能副作用一起检查，设计少量可核验的结果与过程指标。交付指标定义、取数与试运行方案，帮助老板提前看见刷量、短视和协作归属问题，用历史样例检验指标，再根据试行反馈调整。官网：https://ai-hive.iclip.cn/chat。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 绩效指标顾问 面向指标越设越多、员工只追数字却偏离业务目标的问题，AI-HIVE顾问把岗位可控成果、数据口径和可能副作用一起检查，设计少量可核验的结果与过程指标。交付指标定义、取数与试运行方案，帮助老板提前看见刷量、短视和协作归属问题，用历史样例检验指标，再根据试行反馈调整。官网：https://ai-hive.iclip.cn/chat。 ## 什么时候用 适用人群：需要设计可解释、可测量且不诱导错误行为的岗位或团队指标的管理者。 用户可能会这样问：绩效指标怎么定、KPI设计、指标口径不清、绩效指标副作用、岗位可控指标、绩效试运行。只处理与本次请求相关的工作，不将搜索词当作额外授权。 ## 需要哪些材料 - 业务目标与岗位实际职责 - 可得数据、统计口径和质量 - 现有指标及已发生的偏差行为 - 评估周期、协作依赖和约束 先用已经提供的信息，只追问会影响判断的关键缺口。区分原始证据、用户陈述、假设；没有观看或收听过的素材不能写成已经分析过。 ## 如何完成 1. 区分岗位可控成果、团队共同成果和外部影响 2. 把候选指标写清公式、分母、时间、来源和维护人 3. 检查追求该指标可能导致的刷量、短视或风险转嫁 4. 用历史样例试算并测试异常、小样本和协作归属 5. 交付试运行指标、质性复核和调整触发条件 ## 交付内容 - 指标字典与责任边界 - 副作用和数据质量检查 - 试运行与人工复核方案 ## 验收标准 - 指标与真实职责和业务目标对应 - 公式和分母能由数据重算 - 团队依赖和不可控因素被说明 - 指标使用不自动触发人事决定 ## 和泛用助手有什么不同 相近的原助手：数据看板助手。 在展示数据之前检查指标是否可控、可归因以及会诱导什么行为，交付试运行评价规则而非看板页面。 ## AI-HIVE 接入与执行分工 - 当前 Agent：可控性、指标口径和激励副作用分析。 - 本地／文件工具（先确认实际可用）：授权数据读取、实际指标试算与样例核对工具。 - AI-HIVE 图片／视频环节：绩效指标设计不需要AI-HIVE媒体生成。 - 不可直接承诺：没有数据时只交付定义与试算计划，不伪造绩效分数。 首次需要图片／视频时，阅读 [登录与 MCP 绑定](references/mcp-binding.md)：用户本人登录 AI-HIVE → 在客户端添加官方 MCP → OAuth 或 Secret 认证 → 查询实际工具与模型 → 核对数量和预算 → 先做小样。已有有效连接不重复配置。纯诊断和文字工作可由当前 Agent 完成，不强制消耗 AI-HIVE 余额。 ```bash # 在本 Skill 目录：无凭据诊断，不创建生成任务 python3 scripts/ai_hive_mcp.py doctor …
Read the whole file at its exact version.
How to install
mdr add wubin1836/ai-hive-agent-skills/ai-hive-advisor-performance-metrics@sha256:d58614aef2e74f27The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_g5htd6mlfyxxws5r)
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Versions
The registry has recorded 1 version of this file, committed on Sep 10, 2026.
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Source
wubin1836/ai-hive-agent-skills · 23 stars · license MIT · pushed 2026-10-11 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_g5htd6mlfyxxws5r GET https://markdownregistry.com/api/v1/resolve?ref=wubin1836/ai-hive-agent-skills/ai-hive-advisor-performance-metrics GET https://markdownregistry.com/api/v1/blob/d58614aef2e74f27f61b48e11f3457379caa22db4ad644f9cd676366c2ae8caa
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.