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 korchard333/claude-power-platform-community --skill observabilitygit clone --depth 1 https://github.com/korchard333/claude-power-platform-communityWrote 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/korchard333/claude-power-platform-community/observability)<a href="https://agentmods.dev/skills/korchard333/claude-power-platform-community/observability"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/observability/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/korchard333/claude-power-platform-community/observability"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/observability.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 | $0.00057 | $0.00948 |
| Opus 5 | $0.00028 | $0.00474 |
| Sonnet 5 | $0.00011 | $0.00190 |
| Haiku 4.5 | $0.00006 | $0.00095 |
Grade A, and why
observability 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 10d 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Observability & Monitoring
When to Use
Trigger when configuring Application Insights for Power Platform, setting up telemetry for model-driven apps, canvas apps, Code Apps, or flows, creating alert rules, building monitoring dashboards, or diagnosing performance issues using telemetry data.
Observability Stack
| Layer | Tool | Data |
|---|---|---|
| Platform telemetry | Application Insights (via Managed Environments export) | Dataverse API calls, plugin execution, SDK operations, exceptions |
| Model-driven apps | Application Insights + browser telemetry | Form load times, JS errors, custom events |
| Canvas apps | Application Insights + Monitor tool | Screen transitions, data call durations, delegation warnings |
| Code Apps | Application Insights SDK (@microsoft/applicationinsights-web) |
React errors, custom events, performance marks |
| Power Automate | Automation Center + Application Insights (Managed Env) | Flow run telemetry, action-level timing, failures |
| Copilot Studio | Agent analytics + Application Insights | Session metrics, topic resolution, escalation rates |
⚠️ REQUIRED: Load Sub-Files Before Implementation
SKILL.md is a summary only — it is NOT sufficient for implementation.
The detailed content (complete payloads, XML templates, working examples, edge-case handling) lives in sub-files in the same directory as this SKILL.md. Before writing any code, you MUST use read_file on the sub-files relevant to your task:
- Application Insights Setup — connection string configuration, Managed Environments requirement, per-component enablement, environment-level export, instrumentation key vs connection string
- Model-Driven App Telemetry — form load times, JavaScript errors, plugin traces (ITracingService + ILogger), custom events, performance markers
- Canvas App Telemetry — screen transitions, data call durations, delegation warnings, Monitor tool real-time diagnostics, canvas app insights
- Flow Telemetry — Power Automate flow run telemetry, Automation Center dashboard, run history analytics, action-level telemetry
- Code App Telemetry — React error boundaries to App Insights,
@microsoft/applicationinsights-websetup, custom events, performance marks, platform logger integration - Alerting & Dashboards — alert rules, action groups, KQL queries for common scenarios, Azure Dashboard templates
What ships with it
7 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.
- 10d ago First seen · 73 lines · 57 tokens per session scan A dde52e4720a9
observability is a skill published in the GitHub repository korchard333/claude-power-platform-community (47 stars, last pushed 5mo ago), licensed MIT. It adds 57 tokens to every session and 948 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
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