Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/JansenAnalytics/claudexnpx agentmods add skills/jansenanalytics/claudex/schema-analyzerWrote 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/jansenanalytics/claudex/schema-analyzer)<a href="https://agentmods.dev/skills/jansenanalytics/claudex/schema-analyzer"><img src="https://agentmods.dev/badge/skills/jansenanalytics/claudex/schema-analyzer.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 5.1 | $0.00029 | $0.00355 |
| Opus 5 | $0.00015 | $0.00178 |
| Sonnet 5 | $0.00006 | $0.00071 |
| Haiku 4.5 | $0.00003 | $0.00036 |
Grade A, and why
schema-analyzer 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
schema-analyzer
Analyze database schemas: generate ERD diagrams, detect normalization issues, suggest indexes, find missing foreign keys, audit schema quality.
When to Use
- Understanding a database structure
- Generating entity-relationship diagrams
- Optimizing schema design
- Finding denormalization issues
- Auditing database quality
Scripts
schema-erd.py
Generate ERD (Mermaid diagram) from a database.
python3 scripts/schema-erd.py --db myapp.db --type sqlite --format mermaid
python3 scripts/schema-erd.py --db myapp.db --type sqlite --format text
python3 scripts/schema-erd.py --db myapp.db --type sqlite --format json
schema-audit.py
Audit schema quality and find issues.
python3 scripts/schema-audit.py --db myapp.db --type sqlite
Reports: missing PKs, missing indexes on FKs, naming inconsistencies, missing timestamps, nullable issues.
index-advisor.py
Suggest optimal indexes.
python3 scripts/index-advisor.py --db myapp.db --type sqlite
Reports: existing indexes, suggested new indexes, foreign key columns without indexes.
References
normalization-guide.md— 1NF through 3NF with examplesindexing-guide.md— Index types, composite indexes, when indexes hurt
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 · 57 lines · 29 tokens per session scan A e4a87899f294
schema-analyzer is a skill published in the GitHub repository JansenAnalytics/claudex (5 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 355 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 2026-09-03.
Other skills, from other repositories
erd-designer
Create and edit ERD Designer .erd files (database entity-relationship diagrams). Use when the user asks to design database tables, add or modify tables, columns, relations, indexes or memos in a .erd file, or to export DDL from a .erd file.
database-patterns
Use when designing database schemas, implementing repository patterns, writing optimized queries, managing migrations, or working with indexes and transactions for SQL/NoSQL databases.
convex-schema-validator
Defining and validating database schemas with proper typing, index configuration, optional fields, unions, and migration strategies for schema changes.
database-design-patterns
Database schema design patterns and optimization strategies for relational and NoSQL databases. Use when designing database schemas, optimizing query performance, or implementing data persistence layers at scale.
PostgreSQL
PostgreSQL 17.x — data types, DDL, DML, queries, indexes, full text search, concurrency, performance, functions.
Database Design Expert
Expert in database schema design with focus on normalization, indexing strategies, FTS optimization, and performance-oriented architecture for desktop applications.