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 wardawgmalvicious/agent-config --skill fabric-mirroringgit clone --depth 1 https://github.com/wardawgmalvicious/agent-configWrote 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/wardawgmalvicious/agent-config/fabric-mirroring)<a href="https://agentmods.dev/skills/wardawgmalvicious/agent-config/fabric-mirroring"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/fabric-mirroring/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/wardawgmalvicious/agent-config/fabric-mirroring"><img src="https://agentmods.dev/badge/skills/wardawgmalvicious/agent-config/fabric-mirroring.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 | $0.00231 | $0.04176 |
| Opus 5 | $0.00115 | $0.02088 |
| Sonnet 5 | $0.00046 | $0.00835 |
| Haiku 4.5 | $0.00023 | $0.00418 |
Grade A, and why
fabric-mirroring 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.
How it starts
The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mirroring in Fabric
Mirroring brings an external database or catalog into OneLake as a unit —
no ETL pipeline, no orchestration, no compute you allocate. It creates a
MirroredDatabase item plus an autogenerated read-only SQL analytics
endpoint.
There is no local file artifact (unlike TMDL or PBIR). You configure mirroring in the portal or through the REST API.
1. Three kinds — settle this first
Every later answer depends on which kind you are in. All three are called "mirroring", and only one of them copies data.
| Kind | Mechanism | Data location | Latency |
|---|---|---|---|
| Database mirroring | Continuous replication into OneLake as Delta | Copied into OneLake | Changes published as fast as every 15 s |
| Metadata mirroring | Syncs catalog names, schemas, tables; reads through OneLake shortcuts | Stays at the source | Source access + shortcut time; no replication step |
| Open mirroring | You write change files to a landing zone; Fabric merges them into Delta | Copied into OneLake | As fast as you land files |
Database mirroring is source-driven, not polled. The source engine identifies changed data — SQL Server 2025 scans its own transaction log — and publishes to a Fabric landing zone. A replicator engine inside Fabric scans for new files at high frequency and merges them into the target Delta table. Backoff logic slows polling for idle tables to avoid loading the source engine, and resumes automatically when changes reappear.
Metadata mirroring supports cross-tenant consumption precisely because it is shortcuts underneath — you can read live governed data from another tenant via OneLake external data sharing with no copy.
2. Which kind each source uses
From the mirroring/overview platform table as of 2026-08-30.
| Source | Kind |
|---|---|
| Azure SQL Database, Azure SQL Managed Instance, SQL Server | Database |
| Fabric SQL database | Database — automatic, nothing to configure |
| Azure Cosmos DB | Database |
| Azure Database for PostgreSQL | Database |
| Azure Database for MySQL (preview) | Database |
| Google BigQuery | Database — GA as of Aug 2026 |
| Oracle, SAP | Database |
| SharePoint List (preview) | Database |
| Snowflake | Metadata |
| Azure Databricks | Metadata (Unity Catalog structure) |
| Dremio catalog (preview) | Metadata |
| AWS Glue catalog (preview) | Metadata — Iceberg tables stay in S3 |
| Azure Monitor (preview) | Metadata — connection-based, surfaces via Eventhouse |
| Open mirrored database | Open |
What ships with it
2 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.
- 2d ago Changed 931be38dffaa
- 8d ago Changed · +5 lines 26b0f8aa6edc
- 12d ago First seen · 359 lines · 231 tokens per session scan A 9feef5fa17eb
fabric-mirroring is a skill published in the GitHub repository wardawgmalvicious/agent-config (1 stars, last pushed today), licensed MIT. It adds 231 tokens to every session and 4,176 once invoked, about $0.0012 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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