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Agent Skill · 研究检索

power-automate-monitoring(电力自动化监控)

power-automate-monitoring 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

power-automate-monitoring 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为调用外部服务;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 44,123。

总安装 936周安装 39GitHub Stars 公开资料未说明下载 312核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:power-automate-monitoring(电力自动化监控)
来源仓库:https://github.com/ninihen1/power-automate-monitoring
安装命令:
openclaw skills install power-automate-monitoring
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install power-automate-monitoring

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于租户范围的 Power Automate 运行状况监控。支持故障率分析与资产库存管理。power-automate-monitoring 属于研究检索类 Skill,可作为该场景下的辅助能力补充。依赖 Pro+ 订阅与 FlowStudio MCP 缓存。安装前需确认订阅权限与数据源访问能力。

适用于运维团队进行流程健康度评估。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install power-automate-monitoring;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

power-automate-monitoring 怎么安装?

在终端执行 openclaw skills install power-automate-monitoring。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

power-automate-monitoring 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

power-automate-monitoring 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

power-automate-monitoring 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

power-automate-monitoring 用的人多吗?

公开数据是累计安装 936 次,近一周安装 39 次,下载 312 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

power-automate-monitoring 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
power-automate-monitoring

电力自动化监控 · 本页

936—调用外部服务MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
power-automate-monitoring
description
>-
metadata
openclaw
requires
env
primaryEnv
FLOWSTUDIO_MCP_TOKEN
homepage
https://mcp.flowstudio.app

Power Automate Monitoring with FlowStudio MCP

Monitor flow health, track failure rates, and inventory tenant assets through the FlowStudio MCP cached store — fast reads, no PA API rate limits, and enriched with governance metadata and remediation hints.

⚠️ Pro+ subscription required. This skill calls store_* tools that only work for FlowStudio for Teams or MCP Pro+ subscribers. If the user does not have Pro+ access: the first store_* tool call will return a 403/404 error. When that happens: 1. STOP calling store tools 2. Tell the user this feature requires a Pro+ subscription 3. Link them to https://mcp.flowstudio.app/pricing 4. If their question can be answered with live tools (e.g. "list flows in one environment"), offer to use the power-automate-mcp skill instead Discovery: load tool schemas via tool_search rather than tools/list — call with query: "select:list_store_flows,get_store_flow_summary" for the common monitoring tools, or load the full set with query: "skill:governance" (the server's governance bundle covers most monitoring reads too — this skill and power-automate-governance share the underlying tool family). This skill covers response shapes, behavioral notes, and workflow patterns — things tool_search cannot tell you. If this document disagrees with a real API response, the API wins.

How Monitoring Works

Flow Studio scans the Power Automate API daily for each subscriber and caches the results. There are two levels:

  • All flows get metadata scanned: definition, connections, owners, trigger

type, and aggregate run statistics (runPeriodTotal, runPeriodFailRate, etc.). Environments, apps, connections, and makers are also scanned.

  • Monitored flows (monitor: true) additionally get per-run detail:

individual run records with status, duration, failed action names, and remediation hints. This is what populates get_store_flow_runs and get_store_flow_summary.

Data freshness: Check the scanned field on get_store_flow to see when a flow was last scanned. If stale, the scanning pipeline may not be running.

Enabling monitoring: Set monitor: true via update_store_flow or the Flow Studio for Teams app (how to select flows).

Designating critical flows: Use update_store_flow with critical=true on business-critical flows. This enables the governance skill's notification rule management to auto-configure failure alerts on critical flows.


Tools

ToolPurpose
list_store_flowsList flows with failure rates and monitoring filters
get_store_flowFull cached record: run stats, owners, tier, connections, definition (triggerUrl field included)
get_store_flow_summaryAggregated run stats: success/fail rate, avg/max duration
get_store_flow_runsPer-run history with duration, status, failed actions, remediation (filter status="Failed" for errors-only view)
update_store_flowSet monitor flag, notification rules, tags, governance metadata
list_store_environmentsAll Power Platform environments
list_store_connectionsAll connections
list_store_makersAll makers (citizen developers)
get_store_makerMaker detail: flow/app counts, licenses, account status
list_store_power_appsAll Power Apps canvas apps
For start/stop, use set_live_flow_state from the monitor-flow bundle (tool_search query: "select:set_live_flow_state") — the cache resyncs on the next scan. The previous set_store_flow_state convenience wrapper is deprecated.

Store vs Live

QuestionUse StoreUse Live
How many flows are failing?list_store_flows—
What's the fail rate over 30 days?get_store_flow_summary—
Show error history for a flowget_store_flow_runs (filter status="Failed")—
Who built this flow?get_store_flow → parse owners—
Read the full flow definitionget_store_flow has it (JSON string)get_live_flow (structured)
Inspect action inputs/outputs from a run—get_live_flow_run_action_outputs
Resubmit a failed run—resubmit_live_flow_run
Store tools answer "what happened?" and "how healthy is it?" Live tools answer "what exactly went wrong?" and "fix it now."
If get_store_flow_runs or get_store_flow_summary return empty results, check: (1) is monitor: true on the flow? and (2) is the scanned field recent? Use get_store_flow to verify both.

Response Shapes

list_store_flows

Direct array. Filters: monitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (bool).

[
  {
    "id": "Default-<envGuid>.<flowGuid>",
    "displayName": "Stripe subscription updated",
    "state": "Started",
    "triggerType": "Request",
    "triggerUrl": "https://...",
    "tags": ["#operations", "#sensitive"],
    "environmentName": "Default-aaaaaaaa-...",
    "monitor": true,
    "runPeriodFailRate": 0.012,
    "runPeriodTotal": 82,
    "createdTime": "2025-06-24T01:20:53Z",
    "lastModifiedTime": "2025-06-24T03:51:03Z"
  }
]
id format: Default-<envGuid>.<flowGuid>. Split on first . to get environmentName and flowName. triggerUrl and tags are optional. Some entries are sparse (just id + monitor) — skip entries without displayName. Tags on list_store_flows are auto-extracted from the flow's description field (maker hashtags like #operations). Tags written via update_store_flow(tags=...) are stored separately and only visible on get_store_flow — they do NOT appear in the list response.

get_store_flow

Full cached record. Key fields:

CategoryFields
Identityname, displayName, environmentName, state, triggerType, triggerKind, tier, sharingType
Run statsrunPeriodTotal, runPeriodFails, runPeriodSuccess, runPeriodFailRate, runPeriodSuccessRate, runPeriodDurationAverage/Max/Min (milliseconds), runTotal, runFails, runFirst, runLast, runToday
Governancemonitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (number), rule_notify_email (string), log_notify_onfail (ISO), description, tags
Freshnessscanned (ISO), nextScan (ISO)
Lifecycledeleted (bool), deletedTime (ISO)
JSON stringsactions, connections, owners, complexity, definition, createdBy, security, triggers, referencedResources, runError — all require json.loads() to parse
Duration fields (runPeriodDurationAverage, Max, Min) are in milliseconds. Divide by 1000 for seconds. runError contains the last run error as a JSON string. Parse it: json.loads(record["runError"]) — returns {} when no error.

get_store_flow_summary

Aggregated stats over a time window (default: last 7 days).

{
  "flowKey": "Default-<envGuid>.<flowGuid>",
  "windowStart": null,
  "windowEnd": null,
  "totalRuns": 82,
  "successRuns": 81,
  "failRuns": 1,
  "successRate": 0.988,
  "failRate": 0.012,
  "averageDurationSeconds": 2.877,
  "maxDurationSeconds": 9.433,
  "firstFailRunRemediation": null,
  "firstFailRunUrl": null
}
Returns all zeros when no run data exists for this flow in the window. Use startTime and endTime (ISO 8601) parameters to change the window.

get_store_flow_runs

Direct array of cached run records. Parameters: startTime, endTime, status (array — pass ["Failed"] for an errors-only view, ["Succeeded"], or omit for all).

Returns [] when no run data exists in the window.

Trigger URL

Read the triggerUrl field directly from get_store_flow (cached) or get_live_flow (live). It is null for non-HTTP triggers.

Starting / stopping a flow

Use set_live_flow_state from the monitor-flow server bundle. The cache catches up on the next daily scan; if you need cache freshness sooner, call get_live_flow after the state change to confirm and let the next scan sync.

update_store_flow

Updates governance metadata. Only provided fields are updated (merge). Returns the full updated record (same shape as get_store_flow).

Settable fields: monitor (bool), rule_notify_onfail (bool), rule_notify_onmissingdays (number, 0=disabled), rule_notify_email (comma-separated), description, tags, businessImpact, businessJustification, businessValue, ownerTeam, ownerBusinessUnit, supportGroup, supportEmail, critical (bool), tier, security.

list_store_environments

Direct array.

[
  {
    "id": "Default-aaaaaaaa-...",
    "displayName": "Flow Studio (default)",
    "sku": "Default",
    "type": "NotSpecified",
    "location": "australia",
    "isDefault": true,
    "isAdmin": true,
    "isManagedEnvironment": false,
    "createdTime": "2017-01-18T01:06:46Z"
  }
]
sku values: Default, Production, Developer, Sandbox, Teams.

list_store_connections

Direct array. Can be very large (1500+ items).

[
  {
    "id": "<environmentId>.<connectionId>",
    "displayName": "user@contoso.com",
    "createdBy": "{\"id\":\"...\",\"displayName\":\"...\",\"email\":\"...\"}",
    "environmentName": "...",
    "statuses": "[{\"status\":\"Connected\"}]"
  }
]
createdBy and statuses are JSON strings — parse with json.loads().

list_store_makers

Direct array.

[
  {
    "id": "09dbe02f-...",
    "displayName": "Sample Maker",
    "mail": "maker@contoso.com",
    "deleted": false,
    "ownerFlowCount": 199,
    "ownerAppCount": 209,
    "userIsServicePrinciple": false
  }
]
Deleted makers have deleted: true and no displayName/mail fields.

get_store_maker

Full maker record. Key fields: displayName, mail, userPrincipalName, ownerFlowCount, ownerAppCount, accountEnabled, deleted, country, firstFlow, firstFlowCreatedTime, lastFlowCreatedTime, firstPowerApp, lastPowerAppCreatedTime, licenses (JSON string of M365 SKUs).

list_store_power_apps

Direct array.

[
  {
    "id": "<environmentId>.<appId>",
    "displayName": "My App",
    "environmentName": "...",
    "ownerId": "09dbe02f-...",
    "ownerName": "Catherine Han",
    "appType": "Canvas",
    "sharedUsersCount": 0,
    "createdTime": "2023-08-18T01:06:22Z",
    "lastModifiedTime": "2023-08-18T01:06:22Z",
    "lastPublishTime": "2023-08-18T01:06:22Z"
  }
]

Common Workflows

Find unhealthy flows

1. list_store_flows
2. Filter where runPeriodFailRate > 0.1 and runPeriodTotal >= 5
3. Sort by runPeriodFailRate descending
4. For each: get_store_flow for full detail

Check a specific flow's health

1. get_store_flow → check scanned (freshness), runPeriodFailRate, runPeriodTotal
2. get_store_flow_summary → aggregated stats with optional time window
3. get_store_flow_runs(status=["Failed"]) → per-run failure detail with remediation hints
4. If deeper diagnosis needed → switch to live tools:
   get_live_flow_runs → get_live_flow_run_action_outputs

Enable monitoring on a flow

1. update_store_flow with monitor=true
2. Optionally set rule_notify_onfail=true, rule_notify_email="user@domain.com"
3. Run data will appear after the next daily scan

Daily health check

1. list_store_flows
2. Flag flows with runPeriodFailRate > 0.2 and runPeriodTotal >= 3
3. Flag monitored flows with state="Stopped" (may indicate auto-suspension)
4. For critical failures → get_store_flow_runs(status=["Failed"]) for remediation hints

Maker audit

1. list_store_makers
2. Identify deleted accounts still owning flows (deleted=true, ownerFlowCount > 0)
3. get_store_maker for full detail on specific users

Inventory

1. list_store_environments → environment count, SKUs, locations
2. list_store_flows → flow count by state, trigger type, fail rate
3. list_store_power_apps → app count, owners, sharing
4. list_store_connections → connection count per environment

Related Skills

  • power-automate-mcp — Foundation skill: connection setup, MCP helper, tool discovery
  • power-automate-debug — Deep diagnosis with action-level inputs/outputs (live API)
  • power-automate-build — Build and deploy flow definitions
  • power-automate-governance — Governance metadata, tagging, notification rules, CoE patterns

平台分布

OpenClaw

80.54%
按下载量换算251

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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