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 commands/luccapinto/agentic-data-kit/validate-pbigit clone --depth 1 https://github.com/luccapinto/agentic-data-kitWhat 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 | $0.00027 | $0.00427 |
| Opus 5 | $0.00014 | $0.00214 |
| Sonnet 5 | $0.00005 | $0.00085 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
validate-pbi 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 2d 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.
What it actually says
Workflow: /validate-pbi
Usage: /validate-pbi [path/to/project.pbip]
Answers "is my model healthy?" by running the quality checks on a PBIP semantic model. If no path is given, use the project in the current folder; if there are several, ask which one.
Steps
- Locate the project. Use
pbi-semantic-layer-tmdlto confirm a valid PBIP project. If none is found, report it and stop. - Run the BPA. Use
pbi-quality-rulesto run the Best Practice Analyzer (Tabular Editor 2 CLI, or the TMDL-parsing fallback). Recommend the user close Desktop first so disk is current. Record everyerrorandwarning. - Structural review.
- Doc coverage: tables/measures with a
descriptionvs. total. - Relationships: flag island tables (no relationships), bidirectional filters, and many-to-many joins.
- Doc coverage: tables/measures with a
- Report — a short Markdown summary:
# Validation Report — <Project>
**Date:** <today> | **Source:** TMDL files
## Summary
| Category | Errors | Warnings |
|----------|--------|----------|
| Naming | 0 | 3 |
| DAX | 1 | 2 |
| Model | 0 | 1 |
| Docs | 0 | 8 |
## Errors (fix before publishing)
- [DAX_EMPTY_EXPRESSION] Measure "Turnover %" — empty expression
## Doc coverage
- Tables: 5/7 described (71%) · Measures: 12/20 described (60%)
- Offer fixes. Auto-offer to fix all errors; ask whether to address warnings and missing descriptions.
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.
- 2d ago First seen · 47 lines · 27 tokens per session scan A f284ca2ca3b1
validate-pbi is a command published in the GitHub repository luccapinto/agentic-data-kit (7 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 427 once invoked, about $0.0001 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 2026-08-31.
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