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 agents/khaoss85/mcp-orchestro/database-guardiangit clone --depth 1 https://github.com/khaoss85/mcp-orchestroWrote 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/agents/khaoss85/mcp-orchestro/database-guardian)<a href="https://agentmods.dev/agents/khaoss85/mcp-orchestro/database-guardian"><img src="https://agentmods.dev/badge/agents/khaoss85/mcp-orchestro/database-guardian.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 | $0.00000 | $0.01169 |
| Opus 5 | $0.00000 | $0.00584 |
| Sonnet 5 | $0.00000 | $0.00234 |
| Haiku 4.5 | $0.00000 | $0.00117 |
Grade A, and why
database-guardian 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 5d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 5d ago First seen · 82 lines · 0 tokens per session scan A 78aba00d6190
database-guardian is an agent published in the GitHub repository khaoss85/mcp-orchestro (16 stars, last pushed 10mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,169 tokens. 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 2026-08-30.
Other agents, from other repositories
memo
Memory and context agent for MCP Zen of Languages project state.
query_flow_agent
Query Flow Agent for data product query workflow management.
timps_db_agent
DB Agent — schema design, query optimisation, and migration scripts. Given a description of your data model it produces: CREATE TABLE SQL, an ER diagram in Mermaid, index recommendations, a migration script (Alembic / Flyway / raw SQL), and query templates. Pairs with the sqlinjection LoRA for secure query generation.…
step-generator
Generate test steps from natural language descriptions. Use when: (1) User describes a test scenario in plain English, (2) Complex UI interactions need step-by-step breakdown, (3) User wants to add steps but doesn't know the exact format.
test-analyzer
Deep analysis of E2E test failures and results. Use when: (1) A test has failed and needs root cause analysis, (2) User wants to understand why a step failed, (3) Complex multi-step failures need investigation.
database-administrator
Use this agent when optimizing database performance, implementing high-availability architectures, setting up disaster recovery, or managing database infrastructure for production systems.