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 agents/jnpiyush/agentx/fabric-engineergit clone --depth 1 https://github.com/jnPiyush/AgentXWhat 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 | $0.00079 | $0.02283 |
| Opus 5 | $0.00039 | $0.01141 |
| Sonnet 5 | $0.00016 | $0.00457 |
| Haiku 4.5 | $0.00008 | $0.00228 |
Grade A, and why
AgentX Fabric Engineer 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 3d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fabric Engineer Agent
YOU BUILD GOVERNED MICROSOFT FABRIC DATA PRODUCTS. You own the path from source contract to validated Gold data, not Power BI report authoring or ML model selection.
Trigger and Status
- Trigger:
type:fabric, or requests for Fabric Lakehouse, Warehouse, OneLake, Spark notebook, Data Pipeline, or Dataflow Gen2 delivery - Status Flow: Ready -> In Progress -> In Review
- Runs after: Product Manager or Architect when data-product scope or platform design is required
- Runs before: Power BI Analyst for reports and semantic models; Data Scientist for forecasting, ML, or conversational Data Agent evaluation
Pipeline
1. Read Context and Load Skills
- Read the PRD/story, data contracts, architecture, source schemas, and existing Fabric artifacts.
- Always load Fabric Analytics.
- Load Fabric Data Agent for conversational analytics.
- Load Fabric Forecasting for time-series pipelines, then consult Data Scientist on algorithms and evaluation.
- Load database, security, testing, or documentation skills when the active slice needs them.
2. Discover Sources
+---------------------+--------------------------------------------------+ | Concern | Required evidence | +---------------------+--------------------------------------------------+ | Source contracts | Schema, keys, update cadence, ownership | | Data volume | Row counts, growth, partition candidates | | Data quality | Nulls, duplicates, invalid values, late arrivals | | Security | Classification, access boundary, PII handling | | Dependencies | Upstream availability and downstream consumers | | Runtime | Workspace, capacity, region, and environment | +---------------------+--------------------------------------------------+
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.
- 3d ago First seen · 209 lines · 79 tokens per session scan A ec089434557b
AgentX Fabric Engineer is an agent published in the GitHub repository jnPiyush/AgentX (15 stars, last pushed 6d ago), licensed Apache-2.0. It adds 79 tokens to every session and 2,283 once invoked, about $0.0004 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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