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 agentmods add skills/data-goblin/power-bi-agentic-development/refresh-semantic-modelnpx skills add data-goblin/power-bi-agentic-development --skill refresh-semantic-modelgit clone --depth 1 https://github.com/data-goblin/power-bi-agentic-developmentWrote 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/data-goblin/power-bi-agentic-development/refresh-semantic-model)<a href="https://agentmods.dev/skills/data-goblin/power-bi-agentic-development/refresh-semantic-model"><img src="https://agentmods.dev/badge/skills/data-goblin/power-bi-agentic-development/refresh-semantic-model.svg" alt="Measured on agentmods" 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 | $0.00042 | $0.03226 |
| Opus 5 | $0.00021 | $0.01613 |
| Sonnet 5 | $0.00008 | $0.00645 |
| Haiku 4.5 | $0.00004 | $0.00323 |
Grade A, and why
refresh-semantic-model 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 5d 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 5d ago First seen · 304 lines · 42 tokens per session scan A 6bf5232b1aab
refresh-semantic-model is a skill published in the GitHub repository data-goblin/power-bi-agentic-development (890 stars, last pushed 26d ago), licensed GPL-3.0. It adds 42 tokens to every session and 3,226 once invoked, about $0.0002 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.
Other skills, from other repositories
debug
Run /debug to find and fix a bug's root cause: a test failing for an unclear reason, /check verify finding a failure, or behavior being wrong. Runs a reproduce, localize, hypothesize, test, fix, verify loop, makes the minimal fix, and hands a regression test to /test. No features, no extra refactors.
red-team-adversarial
Adversarial security and resilience analysis — auto-triggered during /review and /test based on task classification. Provides attack surface analysis, boundary testing, auth bypass attempts, dependency chain attacks, and Beast Mode stress testing.
malloy-model
Build Malloy semantic models with base source and joined source files. Use when creating or modifying .malloy files, user asks to "create a malloy model", "add dimensions", "add measures", "create a source", or any Malloy model authoring task.
malloy-html-data-apps
Build or modify an in-package HTML data app for a Malloy Publisher package (a public/ directory the package serves). Use when the user wants a hand-authored HTML dashboard or web page backed by a package's Malloy models, with no build step.
malloy-publish
Package Malloy models for serving by Malloy Publisher. Use when user asks to "publish", "package", "deploy", or wants to share models with others.
eval-improve
Make the smallest safe Malloy model edit that closes a diagnosed model-owned gap, with a probe receipt for every factual claim. Use after eval-diagnose, or when asked to fix a model so an agent can discover the right answer. Never accepts its own edit; the acceptance check belongs to eval-loop. Does not decide whether…