Borrowing it
Nothing to install: this file belongs to dilolabs/nosia. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dilolabs/nosia/main/.claude/skills/caching-patterns/SKILL.mdgit clone --depth 1 https://github.com/dilolabs/nosiaWrote 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/dilolabs/nosia/caching-patterns)<a href="https://agentmods.dev/skills/dilolabs/nosia/caching-patterns"><img src="https://agentmods.dev/badge/skills/dilolabs/nosia/caching-patterns/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/dilolabs/nosia/caching-patterns"><img src="https://agentmods.dev/badge/skills/dilolabs/nosia/caching-patterns.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00081 | $0.01945 |
| Opus 5.5 | $0.00032 | $0.00778 |
| Sonnet 5.5 | $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 2mo 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.
This is a copy
100% identical to caching-patterns — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
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.
- 2mo ago First seen · 296 lines · 81 tokens per session scan A 52701c4e9140
caching-patterns is a skill published in the GitHub repository dilolabs/nosia (211 stars, last pushed 3d ago), licensed MIT. It adds 81 tokens to every session and 1,945 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to caching-patterns, differing in 0 lines, and is treated as a copy.
caching-patterns compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| caching-patternsdilolabs/nosia | Skill | 211 | 3d ago | MIT | A | 81 | Claude Code |
| mem0-statusmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 44 | Claude Code, Codex |
| statusmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 54 | Claude Code |
| mem0-test-integrationmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 207 | Claude Code, Codex |
| mem0-oss-to-platformmem0ai/mem0 | Skill | 68k | 2d ago | Apache-2.0 | A | 217 | Claude Code, Codex |
| browserwing-executorMemTensor/MemOS | Skill | 12k | 2d ago | Apache-2.0 | A | 42 | Claude Code, Codex |
| deep-researchxerrors/Yuxi | Skill | 7.6k | yesterday | MIT | A | 69 | Claude Code, Codex |