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 ai-buildergit 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/ai-builder)<a href="https://agentmods.dev/skills/korchard333/claude-power-platform-community/ai-builder"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/ai-builder/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/ai-builder"><img src="https://agentmods.dev/badge/skills/korchard333/claude-power-platform-community/ai-builder.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 | $0.00051 | $0.00847 |
| Opus 5 | $0.00026 | $0.00424 |
| Sonnet 5 | $0.00010 | $0.00169 |
| Haiku 4.5 | $0.00005 | $0.00085 |
Grade A, and why
ai-builder 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 12d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: AI Builder
When to Use
Trigger when building, configuring, or integrating AI Builder models -- document processing, prediction, GPT prompts, prebuilt models, or custom ML models within Power Platform.
Model Types
| Model Type | Description | Training Required? |
|---|---|---|
| Document processing | Extract fields from invoices, receipts, custom documents | Yes -- train with sample documents |
| Text recognition (OCR) | Extract text from images and PDFs | No (prebuilt) |
| Sentiment analysis | Detect positive/negative/neutral sentiment in text | No (prebuilt) |
| Entity extraction | Extract entities (names, dates, addresses) from text | No (prebuilt) |
| Text classification | Categorize text into custom categories | Yes -- train with labeled examples |
| Object detection | Detect and count objects in images | Yes -- train with labeled images |
| Prediction | Predict outcomes based on historical data | Yes -- requires Dataverse table with history |
| GPT prompts | Custom prompts using Azure OpenAI GPT models | No -- prompt engineering only |
| Category classification | Classify items into predefined categories | Yes |
⚠️ 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:
- Document Processing -- Document processing models, training, publishing, Power Automate integration, batch processing, confidence thresholds, human review loop
- GPT Prompts -- GPT prompt actions, prompt engineering for Power Platform, Power Automate and Canvas App integration, token management
- Predictions -- Prediction models, category classification, object detection, training data requirements, scheduling retraining, performance monitoring
What ships with it
3 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.
- 12d ago First seen · 74 lines · 51 tokens per session scan A c70e7596c680
ai-builder is a skill published in the GitHub repository korchard333/claude-power-platform-community (47 stars, last pushed 5mo ago), licensed MIT. It adds 51 tokens to every session and 847 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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