microsoft/power-platform-skills is a plugin marketplace containing reusable skills, agents, and commands for developing with Microsoft Power Platform. Developers use it to build and deploy Power Pages sites, model-driven Power Apps, and related solutions through Claude Code or GitHub Copilot. The catalogue entries are the marketplace's included skills, agents, plugins, and other agent components.
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 microsoft/power-platform-skills --skill analyze-performancegit clone --depth 1 https://github.com/microsoft/power-platform-skillsWrote 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/microsoft/power-platform-skills/analyze-performance)<a href="https://agentmods.dev/skills/microsoft/power-platform-skills/analyze-performance"><img src="https://agentmods.dev/badge/skills/microsoft/power-platform-skills/analyze-performance/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/microsoft/power-platform-skills/analyze-performance"><img src="https://agentmods.dev/badge/skills/microsoft/power-platform-skills/analyze-performance.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00024 | $0.00730 |
| Opus 5.5 | $0.00010 | $0.00292 |
| Sonnet 5.5 | $0.00005 | $0.00146 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
analyze-performance scanned grade A with 0 findings 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 9d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance: averages are not total impact
Use the shared contract and units/filter semantics. Reuse S, baseline F and metadata; do not request a baseline overview for an exact top-bottleneck question.
Ordered recipe
Choose the smallest entry branch:
- Slow activities by mean:
get_bottleneck_analysis_v2 {S,itemsPerPage:5,itemsToSkip:0,mcpFilterOptions:F}. Omit absent F.Durationis average activity duration, already ranked descending. Do not passattributeName,metrics,aggregationorlimit. - Cumulative activity duration: skip step 1 if this alone was requested.
From metadata take the exact Activity import attribute A; never assume its name is "Activity".
If advertised, call
get_attribute_statistics {S,attributeName:A,filterOptions:F,itemsPerPage:5,itemsToSkip:0,metricToSortBy:"TotalDuration",sortOrder:"Descending"}. There is no_v2suffix. For an event-level Activity, TotalDuration sums matching events; AvgDuration is their mean. Keep EventFrequency and CaseFrequency distinct. RelativeCaseFrequency is a ratio; overlapping activity groups' case counts are not additive. - Only for unresolved evidence, choose a targeted drilldown:
get_edges_with_metrics_v2 {S,filterOptions:F,itemsPerPage:20,itemsToSkip:0}for handoffs, orget_cases_with_metrics_v2 {S,filterOptions:F,itemsPerPage:5,itemsToSkip:0,metricToSortBy:"WaitingTime",sortOrder:"Descending"}. Reuse earlier compatible results. Continue relevant drilldowns/pages without fixed call or total-row ceilings; each query must resolve missing evidence, not repeat an answered question.
Boundaries and stopping
Missing statistics: report the cumulative-measure gap, optionally average-only bottleneck evidence. Never derive population totals from top-five averages or call a hidden statistics tool. Edges expose no sort input: local ranking of one incomplete page is page-local, not global. Report the native edge Duration mean; do not relabel it as an independently established waiting metric. For a requested global edge ranking, retrieve necessary pages to complete coverage before ranking; if coverage is incomplete, explicitly leave the global result unresolved. Event/attribute filters retain whole cases, not just matching events. Check timestamp imports before interpreting utilization: zero-duration conventions with start-only data can produce nonzero ratios without measured active work. Keep raw values and use same-scope cohort evidence; see the unit reference.
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.
- 9d ago First seen · 54 lines · 24 tokens per session scan A d2ed663934bc
analyze-performance is a skill published in the GitHub repository microsoft/power-platform-skills (1,016 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 730 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-09.
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