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/dilolabs/nosia/caching-patternsnpx skills add dilolabs/nosia --skill caching-patternsgit clone --depth 1 https://github.com/dilolabs/nosiaWhat 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 | $0.00081 | $0.01945 |
| Opus 5 | $0.00041 | $0.00972 |
| Sonnet 5 | $0.00016 | $0.00389 |
| Haiku 4.5 | $0.00008 | $0.00194 |
Grade A, and why
caching-patterns 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 3d 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 — 296 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caching Patterns
Philosophy: Cache Aggressively, Invalidate Precisely
- HTTP caching with ETags and
fresh_whenfor free 304 Not Modified responses - Russian doll caching with
touch: truefor automatic cache invalidation - Fragment caching in views with cache keys based on
updated_attimestamps - Solid Cache (database-backed, no Redis) for production caching
- Collection caching with
cache_collectionfor lists - Low-level caching with
Rails.cache.fetchfor expensive computations
Project Knowledge
Stack: Solid Cache (database-backed), Turbo for page refreshes, ETags with conditional GET, fragment caching in ERB views, collection caching for lists.
Multi-tenancy: Cache keys scoped to account. URL-based:
app.myapp.com/123/projects/456.
Commands:
rails solid_cache:install # Install Solid Cache
rails db:migrate # Run cache migrations
rails cache:clear # Clear cache
Caching Strategy Hierarchy
Apply caching in this order (highest impact first):
- HTTP caching --
fresh_when/stale?in controllers (free 304s) - Fragment caching --
cacheblocks in views (Russian doll) - Collection caching --
cache_collectionfor lists of partials - Low-level caching --
Rails.cache.fetchfor expensive computations
Pattern 1: HTTP Caching with ETags
See @references/http-caching.md for full details.
# Single resource -- returns 304 if ETag matches
class BoardsController < ApplicationController
def show
@board = Current.account.boards.find(params[:id])
fresh_when @board
end
def index
@boards = Current.account.boards.includes(:creator)
fresh_when @boards
end
end
# Composite ETag from multiple objects
def show
fresh_when [@board, @card, Current.user]
end
# API with stale? for conditional rendering
def show
@board = Current.account.boards.find(params[:id])
if stale?(@board)
render json: @board
end
end
# Custom ETag with parameters
fresh_when etag: [@activities, @report_date, Current.user.timezone]
What ships with it
3 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.
- 3d ago First seen · 296 lines · 81 tokens per session scan A 52701c4e9140
caching-patterns is a skill published in the GitHub repository dilolabs/nosia (212 stars, last pushed 25d ago), licensed MIT. It adds 81 tokens to every session and 1,945 once invoked, about $0.0004 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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