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 skills add igmarin/rails-agent-skills --skill optimize-performancegit clone --depth 1 https://github.com/igmarin/rails-agent-skillsWrote 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/igmarin/rails-agent-skills/optimize-performance)<a href="https://agentmods.dev/skills/igmarin/rails-agent-skills/optimize-performance"><img src="https://agentmods.dev/badge/skills/igmarin/rails-agent-skills/optimize-performance.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.00904 |
| Opus 5 | $0.00023 | $0.00452 |
| Sonnet 5 | $0.00009 | $0.00181 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade A, and why
optimize-performance 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 8d 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optimize Performance
Identify and fix performance bottlenecks in Rails applications.
Quick Reference
| Tool | Use |
|---|---|
bullet |
N+1 detection in development |
rack-mini-profiler |
Endpoint timing breakdown |
EXPLAIN ANALYZE |
Query plan analysis |
HARD-GATE
NEVER optimize without a baseline measurement
ALWAYS write a regression spec before optimizing (query count assertion)
ALWAYS verify with EXPLAIN ANALYZE for database changes
NEVER write the report as "I applied includes(:author), then wrote a spec
to lock it in." The spec MUST be written and shown failing BEFORE the fix
appears in your output. Reordering for narrative flow fails the audit even
when the underlying work was correct.
Output Style
When completing a performance optimization, output MUST follow this seven-step report order. Each step must appear in output:
# Performance Optimization — [Description]
## 1. Baseline
<N> queries for <endpoint/action> — source: <log line / profiler output>
## 2. Bottleneck
<N+1 on association X / missing index on column Y> — tool: <bullet / rack-mini-profiler / EXPLAIN ANALYZE>
## 3. Regression Spec — RED
`make_database_queries(count: <N>)` at <path>:<line> — failure: expected <M>, got <N>
## 4. Fix
<path>:<line> — <includes(:association) / add_index / cache block>
## 5. Regression Spec — GREEN
Spec passes ✓ (<M> queries)
## 6. EXPLAIN ANALYZE
Before: Seq Scan, actual time=<X>ms → After: Index Scan, actual time=<Y>ms
## 7. Quantified Improvement
Queries: <N> → <M> | p95: <X>ms → <Y>ms
Language: English unless explicitly requested otherwise.
Extended Resources
Less-Obvious Optimization
# Use counter_cache to avoid COUNT queries in loops
# In migration: add_column :users, :posts_count, :integer, default: 0
# In Post model: belongs_to :user, counter_cache: true
user.posts_count # no extra query
Regression Spec (Query Count Assertion)
RSpec.describe "Post index performance" do
it "loads posts with authors in a fixed number of queries" do
create_list(:post, 10, :with_author)
expect do
get posts_path
end.to make_database_queries(count: 2) # 1 posts query + 1 authors query
end
end
Use the db-query-matchers gem or a custom make_database_queries matcher.
What ships with it
2 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.
- 8d ago First seen · 120 lines · 45 tokens per session scan A 87557aa14341
optimize-performance is a skill published in the GitHub repository igmarin/rails-agent-skills (24 stars, last pushed 17d ago), licensed MIT. It adds 45 tokens to every session and 904 once invoked, about $0.0002 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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