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/rand/cc-polymath/discover-databasenpx skills add rand/cc-polymath --skill discover-databasegit clone --depth 1 https://github.com/rand/cc-polymathWhat 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 | $0.00052 | $0.01830 |
| Opus 5 | $0.00026 | $0.00915 |
| Sonnet 5 | $0.00010 | $0.00366 |
| Haiku 4.5 | $0.00005 | $0.00183 |
Grade A, and why
discover-database 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 2d 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 — 260 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Database Skills Discovery
Provides automatic access to comprehensive database design, optimization, and implementation skills.
When This Skill Activates
This skill auto-activates when you're working with:
- SQL databases (PostgreSQL, MySQL)
- NoSQL databases (MongoDB, Redis)
- Database schema design and modeling
- Query optimization and performance tuning
- Database migrations and schema evolution
- Connection pooling configuration
- ORM usage and patterns
- Database selection and architecture decisions
- caching
- cache
- Redis
- CDN
- HTTP caching
- cache invalidation
- performance
- Service Workers
Available Skills
Quick Reference
The Database category contains 19 skills across 2 subcategories:
Database (12 skills):
- postgres-schema-design - Schema design, relationships, data types, normalization
- postgres-query-optimization - EXPLAIN plans, indexes, slow query debugging
- postgres-migrations - Schema changes, zero-downtime, rollback strategies
- mongodb-document-design - Document modeling, embedding vs referencing
- redis-data-structures - Caching, sessions, rate limiting, leaderboards
- database-connection-pooling - Pool configuration, debugging exhaustion
- orm-patterns - ORM best practices, N+1 prevention, eager loading
- database-selection - Choosing databases, SQL vs NoSQL decisions
Plus 4 more in ../database/INDEX.md
Caching (7 skills): See ../caching/INDEX.md
Load Full Category Details
Read ../database/INDEX.md Read ../caching/INDEX.md
Common Workflows
New Database Project
Sequence: Selection → Schema design → Connection pooling
Read ../database/database-selection.md # Choose database Read ../database/postgres-schema-design.md # or mongodb-document-design.md Read ../database/database-connection-pooling.md
Query Performance Debugging
Sequence: Optimization → Connection pooling → ORM patterns
Read ../database/postgres-query-optimization.md # Debug slow queries Read ../database/database-connection-pooling.md # Check pool settings Read ../database/orm-patterns.md # Fix N+1 queries
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.
- 2d ago First seen · 260 lines · 52 tokens per session scan A e38b9e18cfab
discover-database is a skill published in the GitHub repository rand/cc-polymath (136 stars, last pushed 6mo ago), licensed MIT. It adds 52 tokens to every session and 1,830 once invoked, about $0.0003 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 2026-08-30.
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