Borrowing it
Nothing to install: this file belongs to cloudthinker-ai/postgres-mcp-pro-plus. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cloudthinker-ai/postgres-mcp-pro-plus/cloudthinker/postgres-mcp-pro-plus/.kiro/steering/structure.mdgit clone --depth 1 https://github.com/cloudthinker-ai/postgres-mcp-pro-plusWrote 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/cloudthinker-ai/postgres-mcp-pro-plus/structure)<a href="https://agentmods.dev/instructions/cloudthinker-ai/postgres-mcp-pro-plus/structure"><img src="https://agentmods.dev/badge/instructions/cloudthinker-ai/postgres-mcp-pro-plus/structure/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/instructions/cloudthinker-ai/postgres-mcp-pro-plus/structure"><img src="https://agentmods.dev/badge/instructions/cloudthinker-ai/postgres-mcp-pro-plus/structure.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 | $0.00796 | $0.00796 |
| Opus 5.5 | $0.00318 | $0.00318 |
| Sonnet 5.5 | $0.00159 | $0.00159 |
| Haiku 4.5 | $0.00080 | $0.00080 |
Grade A, and why
postgres-mcp-pro-plus structure.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 17d 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.
How it starts
The opening of the file, as written. The whole thing — 71 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Project Structure
postgres-mcp-pro-plus/
├── src/postgres_mcp_pro_plus/ # Main package
│ ├── __init__.py # Entry point, main() function
│ ├── server.py # MCP server, tool registration, CLI
│ ├── artifacts.py # Response data structures
│ │
│ ├── sql/ # Database connectivity layer
│ │ ├── sql_driver.py # Connection pool, query execution
│ │ ├── safe_sql.py # SafeSqlDriver with restrictions
│ │ ├── bind_params.py # Parameter binding utilities
│ │ ├── extension_utils.py # PostgreSQL extension helpers
│ │ └── index.py # SQL module exports
│ │
│ ├── database_health/ # Health monitoring components
│ │ ├── database_health.py # Main health tool orchestrator
│ │ ├── index_health_calc.py # Index health checks
│ │ ├── connection_health_calc.py
│ │ ├── vacuum_health_calc.py
│ │ ├── sequence_health_calc.py
│ │ ├── replication_calc.py
│ │ ├── buffer_health_calc.py
│ │ └── constraint_health_calc.py
│ │
│ ├── explain/ # Query plan analysis
│ │ └── explain_plan.py # EXPLAIN tool with HypoPG support
│ │
│ ├── index/ # Index optimization
│ │ ├── dta_calc.py # Database Tuning Advisor algorithm
│ │ ├── llm_opt.py # LLM-powered optimization
│ │ ├── index_opt_base.py # Base classes
│ │ └── presentation.py # Text output formatting
│ │
│ ├── top_queries/ # Query performance analysis
│ │ └── top_queries_calc.py # pg_stat_statements analysis
│ │
│ ├── blocking_queries.py # Lock contention analysis
│ ├── database_overview.py # Comprehensive DB assessment
│ ├── schema_mapping.py # Schema relationship analysis
│ └── vacuum_analysis.py # Vacuum/bloat analysis
│
├── tests/
│ ├── conftest.py # Pytest fixtures, Docker containers
│ ├── utils.py # Test utilities
│ ├── unit/ # Unit tests (mocked)
│ └── integration/ # Integration tests (real DB)
│
├── scripts/security/ # Security scanning scripts
├── plan/ # Analysis documentation
└── .kiro/
├── specs/ # Feature specifications
├── steering/ # AI guidance rules
└── hooks/ # Agent automation hooks
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.
- 17d ago First seen · 71 lines · 796 tokens per session scan A db71a3540f06
postgres-mcp-pro-plus structure.md is an instructions file published in the GitHub repository cloudthinker-ai/postgres-mcp-pro-plus (7 stars, last pushed 18d ago), licensed MIT. It adds 796 tokens to every session, about $0.0032 per session on Opus 5.5. 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 2026-10-20.
postgres-mcp-pro-plus structure.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| postgres-mcp-pro-plus structure.mdcloudthinker-ai/postgres-mcp-pro-plus | Instructions file | 7 | 18d ago | MIT | A | 796 | Kiro |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |