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/el-feo/ai-context/postgresql-rails-analyzernpx skills add el-feo/ai-context --skill postgresql-rails-analyzergit clone --depth 1 https://github.com/el-feo/ai-contextWrote 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/el-feo/ai-context/postgresql-rails-analyzer)<a href="https://agentmods.dev/skills/el-feo/ai-context/postgresql-rails-analyzer"><img src="https://agentmods.dev/badge/skills/el-feo/ai-context/postgresql-rails-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 | $0.00111 | $0.00954 |
| Opus 5 | $0.00056 | $0.00477 |
| Sonnet 5 | $0.00022 | $0.00191 |
| Haiku 4.5 | $0.00011 | $0.00095 |
Grade A, and why
postgresql-rails-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 6d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PostgreSQL Rails Analyzer
Analyze Rails applications for PostgreSQL performance issues and provide actionable optimization recommendations based on "High Performance PostgreSQL for Rails" best practices.
Analysis Scripts
Run from the Rails application root directory:
1. N+1 Query Analysis
ruby scripts/analyze_n_plus_one.rb
Detects potential N+1 query issues by analyzing:
- Controller actions for queries without eager loading
- View files for association access patterns
- Missing
includes,preload, oreager_loadcalls
2. Index Analysis
ruby scripts/analyze_indexes.rb
Identifies indexing opportunities:
- Foreign keys without indexes (critical)
- Boolean columns that could benefit from partial indexes
- Columns frequently used in WHERE clauses
- Missing composite indexes
3. Configuration Analysis
ruby scripts/analyze_config.rb
Reviews database.yml for:
- Connection pool sizing
- Timeout configurations (statement_timeout, lock_timeout)
- Prepared statements settings
- SSL/TLS configuration
- Connection reaping configuration
- Recommended PostgreSQL extensions
Workflow
Step 1: Understand the Request
Clarify what the user wants to analyze: full performance audit, specific issue (slow queries, N+1 problems), configuration review, or schema optimization.
Step 2: Run Appropriate Analysis Scripts
# For comprehensive analysis, run all three
ruby scripts/analyze_n_plus_one.rb
ruby scripts/analyze_indexes.rb
ruby scripts/analyze_config.rb
Step 3: Review Results
Script output categorizes issues by severity:
- WARNING: High-priority issues that likely impact performance
- INFO: Optimization opportunities and best practice recommendations
Step 4: Provide Recommendations
Create a prioritized list of actionable recommendations:
- Critical Issues (fix immediately) — FK indexes, N+1 in hot paths, missing timeouts
- Performance Optimizations (high impact) — partial indexes, counter caches, eager loading
- Best Practices (preventative) — configuration tuning, pool optimization, monitoring
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 122 lines · 111 tokens per session scan A cc0b1600b356
postgresql-rails-analyzer is a skill published in the GitHub repository el-feo/ai-context (12 stars, last pushed 1mo ago), licensed MIT. It adds 111 tokens to every session and 954 once invoked, about $0.0006 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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