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 neverinfamous/mysql-mcp --skill ownership-agentgit clone --depth 1 https://github.com/neverinfamous/mysql-mcpWrote 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/neverinfamous/mysql-mcp/ownership-agent)<a href="https://agentmods.dev/skills/neverinfamous/mysql-mcp/ownership-agent"><img src="https://agentmods.dev/badge/skills/neverinfamous/mysql-mcp/ownership-agent/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/neverinfamous/mysql-mcp/ownership-agent"><img src="https://agentmods.dev/badge/skills/neverinfamous/mysql-mcp/ownership-agent.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 | $0.00067 | $0.01317 |
| Opus 5 | $0.00034 | $0.00659 |
| Sonnet 5 | $0.00013 | $0.00263 |
| Haiku 4.5 | $0.00007 | $0.00132 |
Grade A, and why
k9-ownership-byod-setup 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 10d 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.
This is a copy
100% identical to k9-ownership-byod-setup — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BYOD Preferences Reference Table Setup
Help customers create and upload a k9_ownership_preferences reference table to customize how the Ownership Agent determines resource owners.
Read first
references/schema.md— full schema, column details, validation rules, and per-type examplesassets/example.csv— complete working CSV with all three preference types
Overview
The Ownership Agent infers owners for cloud resources with security findings. Ownership preferences let customers customize this by providing rules in a Datadog reference table. The agent reads them automatically.
With preferences you can:
- Map tags to owners: Resources with specific tag values belong to a particular team or person
- Exclude accounts: Prevent bot accounts or shared infrastructure from appearing as owners
- Provide custom guidance: Give the AI engine organization-specific context
Reference Table Details
- Table name:
k9_ownership_preferences(exact name, must match) - Effect delay: Changes take effect within 24 hours of upload
- Schema: 12 columns, all STRING — see
references/schema.mdfor details
Workflow
Step 1: Determine Needs
Ask the customer:
- Tag mappings: "Do you have tags on your cloud resources that indicate ownership? (e.g.,
cost-center,team,project)" - Exclusions: "Are there bot accounts, service accounts, or shared accounts that should never appear as owners?"
- Prompt text: "Any organization-specific context that would help determine ownership? (e.g., naming conventions, team structure)"
Step 2: Generate CSV
Read references/schema.md for the full column spec and assets/example.csv for a working template. Build a CSV with all 12 column headers. Each row gets a unique sequential id and fills columns relevant to its preference_type, leaving the rest empty.
Step 3: Upload Instructions
Option A — CSV Upload (UI):
- Go to Integrations > Reference Tables in Datadog
- Click New Reference Table
- Upload the CSV
- Set table name to
k9_ownership_preferences - Choose primary key:
preference_type, tag_key, tag_value, handle - Save
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.
- 10d ago First seen · 108 lines · 67 tokens per session scan A c0761e4e9499
k9-ownership-byod-setup is a skill published in the GitHub repository neverinfamous/mysql-mcp (10 stars, last pushed 3d ago), licensed MIT. It adds 67 tokens to every session and 1,317 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to k9-ownership-byod-setup, differing in 0 lines, and is treated as a copy.
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