Power Bi Agentic Development
Power BI AI skills and Power BI agents for Claude Code and GitHub Copilot: a plugin marketplace of Power BI skills, subagents, and hooks for semantic models, DAX, TMDL, reports, and AI dashboards. Includes Microsoft Fabric skills and Fabric agents. Weekly updates.
Is Power Bi Agentic Development safe? Thin or incomplete trust evidence. Review carefully before production use.
Compare Power Bi Agentic Development
How does it stack up against its Agent Skills neighbours?
- Callstackincubator Agent Skills same score
- Claude Code Skills Zh same score
- Video Shotcraft same score
In detail: Power Bi Agentic Development scores 53.3/100 (Grade C), ranked #189 of 351 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 4.0/10; 5% of recent commits are signed; last pushed 2026-09-23. Every point is earned from checkable signals — never paid placement. How scoring works →
How Power Bi Agentic Development compares in Agent Skills
- #187 Callstackincubator Agent Skills 53.3 ±0
- #188 Claude Code Skills Zh 53.3 ±0
- #189 Power Bi Agentic Development 53.3 this agent
- #190 Video Shotcraft 53.3 ±0
- #191 Nagisanzenin Engram 53.2 −0.1
Bars show each HVTrust score; the tick marks Power Bi Agentic Development’s 53.3.
Where the 53.3 comes from
HVTrust dimensions vs the Agent Skills average
53.3 / 100 · 100.0% confidencePower Bi Agentic Development Agent Skills average (351 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
67.2 / 100Supply Chain Trust
Common questions about Power Bi Agentic Development
Does Power Bi Agentic Development publish package provenance?
Does Power Bi Agentic Development have an OpenSSF Scorecard?
Is Power Bi Agentic Development actively maintained?
What license does Power Bi Agentic Development use?
Are Power Bi Agentic Development's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Power Bi Agentic Development's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain Power Bi Agentic Development?
For maintainers
HVTrust scores Power Bi Agentic Development from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/power-bi-agentic-development)
<a href="https://hvtracker.net/agents/power-bi-agentic-development"><img src="https://hvtracker.net/badge/power-bi-agentic-development.svg" alt="HVTrust"></a>
Other agents in Agent Skills
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON