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 instructions/amansingh63/dbhub-analytics/copilot-instructionsgit clone --depth 1 https://github.com/amansingh63/dbhub-analyticsWrote 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/instructions/amansingh63/dbhub-analytics/copilot-instructions)<a href="https://agentmods.dev/instructions/amansingh63/dbhub-analytics/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/amansingh63/dbhub-analytics/copilot-instructions.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 | $0.00139 | $0.00139 |
| Opus 5 | $0.00069 | $0.00069 |
| Sonnet 5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
Grade A, and why
dbhub-analytics copilot-instructions.md 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.
This is a copy
100% identical to dbhub copilot-instructions.md — 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.
What it actually says
Database Access
This project provides an MCP server (DBHub) for secure SQL access to the development database.
AI agents can execute SQL queries. In read-only mode (recommended for production):
SELECT * FROM users LIMIT 5;SHOW TABLES;DESCRIBE table_name;
In read-write mode (development/testing):
INSERT INTO users (name, email) VALUES ('John', '[email protected]');UPDATE users SET status = 'active' WHERE id = 1;CREATE TABLE test_table (id INT PRIMARY KEY);
Use --readonly flag to restrict to read-only operations for safety.
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 · 18 lines · 139 tokens per session scan A 8949dd66d990
dbhub-analytics copilot-instructions.md is an instructions file published in the GitHub repository amansingh63/dbhub-analytics (0 stars, last pushed 5mo ago), licensed MIT. It adds 139 tokens to every session, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to dbhub copilot-instructions.md, differing in 0 lines, and is treated as a copy.
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