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 Kilo-Org/kilo-marketplace --skill purview-data-mapgit clone --depth 1 https://github.com/Kilo-Org/kilo-marketplaceWrote 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/kilo-org/kilo-marketplace/purview-data-map)<a href="https://agentmods.dev/skills/kilo-org/kilo-marketplace/purview-data-map"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/purview-data-map/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/kilo-org/kilo-marketplace/purview-data-map"><img src="https://agentmods.dev/badge/skills/kilo-org/kilo-marketplace/purview-data-map.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Rogue Agent · line 56 Skill modifies its own code, configuration, or behavior at runtime. Self-modification enables an agent to escalate privileges, disable safety constraints, or install persistent backdoors.Fix: Prevent the skill from modifying its own code, SKILL.md, or configuration files. Treat skill files as read-only at runtime.
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 | $0.00101 | $0.01266 |
| Opus 5 | $0.00051 | $0.00633 |
| Sonnet 5 | $0.00020 | $0.00253 |
| Haiku 4.5 | $0.00010 | $0.00127 |
Grade A, and why
purview-data-map 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- purview-data-map — 88% identical, 18 lines differ
How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Microsoft Purview Data Map
The Data Map is the foundational layer of Microsoft Purview data governance: it discovers, scans, and maps metadata and classifications from data sources across Azure, multicloud, SaaS, and on-premises - powering the Unified Catalog, lineage, and downstream protection decisions.
When to use
Building an enterprise-wide inventory of data assets and their classifications as the basis for governance, security, and data product publishing.
Do not use this skill for in-tenant Microsoft 365 classification (use purview-data-classification)
or for AI prompt visibility (use purview-dspm-ai).
Pick the right integration runtime
| Source location | Use this runtime |
|---|---|
| Azure (Storage, SQL, Synapse, Fabric, Cosmos) | Managed (Azure-hosted) runtime |
| AWS S3 / RDS, GCP BigQuery, public SaaS | Managed runtime, with credentials in Key Vault |
| On-premises SQL, Oracle, file shares | Self-hosted integration runtime (SHIR) on a domain-joined Windows host |
| Private-endpoint-only Azure sources | SHIR or VNet-integrated managed runtime |
| Power BI tenant | Native connector, no runtime config |
Rule of thumb: managed runtime first; deploy SHIR only when network or private-endpoint reach requires it - and treat the SHIR host as Tier-0 infrastructure.
Approach
- Plan collections - Design the collection hierarchy (by business domain or geography) before registering sources; collections drive RBAC and asset organisation. Verify: a draft collection tree exists and maps to data-owner accountability.
- Register sources - Connect data sources (Azure Storage, SQL, Synapse, Fabric, AWS S3, databases, Power BI, etc.) into the right collection with appropriate credentials. Verify: each registered source shows correct subscription/account and target collection.
- Choose an integration runtime - Use the managed runtime for cloud sources; deploy a self-hosted integration runtime to reach on-premises or private-network sources securely. Verify: SHIR status is Running and self-update is enabled.
- Configure scans and rule sets - Schedule scans with scan rule sets; apply classifications (built-in SITs and custom) and lineage extraction where supported. Start incremental, not full. Verify: scan history shows successful runs with classified assets counted.
- Curate - Review discovered assets, apply glossary terms, and assign data owners/stewards; tune custom classifications based on real matches. Verify: top assets have owners and at least one glossary term.
- Govern access - Use collections to organise assets and scope permissions by domain; prefer collection-level role assignment over root. Verify: collection-admin roles assigned to domain owners, not platform team only.
- Operate - Monitor scan failures, classification drift, and cost; right-size scan frequency per source criticality. Verify: a weekly scan-health report exists.
What ships with it
1 file 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.
- 9d ago First seen · 103 lines · 101 tokens per session scan A 78347cd8a6b7
purview-data-map is a skill published in the GitHub repository Kilo-Org/kilo-marketplace (175 stars, last pushed 22d ago), licensed Apache-2.0. It adds 101 tokens to every session and 1,266 once invoked, about $0.0005 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 2026-09-03.
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