Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add boshi-xixixi/TraeSkill --skill flowstudio-power-automate-mcpgit clone --depth 1 https://github.com/boshi-xixixi/TraeSkillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/boshi-xixixi/traeskill/flowstudio-power-automate-mcp)<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/flowstudio-power-automate-mcp"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/flowstudio-power-automate-mcp/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/flowstudio-power-automate-mcp"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/flowstudio-power-automate-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00151 | $0.03408 |
| Opus 5 | $0.00076 | $0.01704 |
| Sonnet 5 | $0.00030 | $0.00682 |
| Haiku 4.5 | $0.00015 | $0.00341 |
Grade A, and why
flowstudio-power-automate-mcp scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
All examples in this skill family use **Python with `urllib.request`** Copies of this mod
2 near-identical copies found in the catalogue:
- flowstudio-power-automate-mcp — 100% identical, 0 lines differ
- flowstudio-power-automate-mcp — 98% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 301 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Power Automate via FlowStudio MCP — Foundation
This skill is the plumbing layer. It gives an AI agent a reliable way to talk to a FlowStudio MCP server, discover what tools are available, and handle the responses cleanly. The actual workflow narratives live in four specialized skills that all build on this one.
Real debugging examples: Expression error in child flow | Data entry, not a flow bug | Null value crashes child flow
Requires: A FlowStudio MCP subscription (or compatible Power Automate MCP server). You will need:
- MCP endpoint:
https://mcp.flowstudio.app/mcp(same for all subscribers)- API key / JWT token (
x-api-keyheader — NOT Bearer)- Power Platform environment name (e.g.
Default-<tenant-guid>)
Which Skill to Use When
Skills are organized by use-case intent, not by which tools they call. Multiple skills reuse the same underlying tools — pick by what the user is trying to accomplish.
| The user wants to… | Load this skill |
|---|---|
| Make or change a flow (build new, modify existing, fix a bug, deploy) | flowstudio-power-automate-build |
| Diagnose why a flow failed (root cause analysis on a failing run) | flowstudio-power-automate-debug |
| See tenant-wide flow health, failure rates, asset inventory | flowstudio-power-automate-monitoring (Pro+) |
| Tag, audit, classify, score, or offboard flows | flowstudio-power-automate-governance (Pro+) |
| Just connect, set up auth, write the helper, parse responses | this skill (foundation) |
Same tools, different lenses. flowstudio-power-automate-build and flowstudio-power-automate-debug
both call update_live_flow, get_live_flow, and the run-error tools — they
differ in direction (forward vs backward) and intent (compose vs diagnose).
flowstudio-power-automate-monitoring and flowstudio-power-automate-governance both call the Store
tools — they differ in audience (ops vs compliance) and outcome (read
health vs write metadata). Don't try to memorize "which tools belong to which
skill"; pick the skill by what the user is doing.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 301 lines · 151 tokens per session scan A 371b2dbdd288
flowstudio-power-automate-mcp is a skill published in the GitHub repository boshi-xixixi/TraeSkill (263 stars, last pushed 4mo ago), licensed MIT. It adds 151 tokens to every session and 3,408 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
azure-architecture
Expert guidance for designing Azure solutions using Azure Architecture. Covers reference architectures, solution ideas, design patterns, technology choices, architecture styles, best practices, anti-patterns, example workloads, and migration guides. Use when designing AKS, data/ML, SAP or IoT workloads, choosing Azure…
azure-cloud-adoption-framework
Expert guidance for planning and executing cloud adoption using Azure Cloud Adoption Framework. Covers strategy, planning, readiness & landing zones, adoption patterns, governance, security, operations & management, organization & teams, and adoption scenarios. Use when planning or operating SAP, Oracle, AKS, AVD/AVS…
azure-data-factory
Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building ADF pipelines, mapping data flows, SSIS IR/SHIR, CI/CD deployments…
azure-databricks
Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakeflow pipelines, Genie/AI Runtime, Delta…
azure-hdinsight
Expert knowledge for Azure HDInsight development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with HDInsight Spark/Hive/Kafka/HBase clusters, Ambari/Oozie pipelines…
azure-kubernetes-service
Expert knowledge for Azure Kubernetes Service (AKS) development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running AI/GPU workloads, Fleet multi-cluster setups…