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 skills/redgreat/db_mcp_server/db-rulenpx skills add redgreat/db_mcp_server --skill db-rulegit clone --depth 1 https://github.com/redgreat/db_mcp_serverWrote 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/redgreat/db_mcp_server/db-rule)<a href="https://agentmods.dev/skills/redgreat/db_mcp_server/db-rule"><img src="https://agentmods.dev/badge/skills/redgreat/db_mcp_server/db-rule.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.00173 |
| Opus 5 | $0.00014 | $0.00086 |
| Sonnet 5 | $0.00006 | $0.00035 |
| Haiku 4.5 | $0.00003 | $0.00017 |
Grade A, and why
db-rule 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 4d 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
Database Rule Author
Generates a RULE.md for a target database as structured guidance for report generation and data modeling.
Inputs:
- connection_id: integer
- database: optional string (defaults to connection database)
- save_to_project: bool (default true) — writes to rules//RULE.md
- save_to_admin: bool (default true) — persists to admin DB db_rules
- project_base: optional project root override
- title/version/tags: optional metadata
Call: generate_db_rule with the above arguments.
Notes:
- Only introspects metadata (no data mutation).
- Output is human-editable and intended as long-lived memory for the skill.
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.
- 4d ago First seen · 24 lines · 28 tokens per session scan A a25b3aeba7bf
db-rule is a skill published in the GitHub repository redgreat/db_mcp_server (2 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 173 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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