caching-specialist

A consultation agent for caching, performance, and scalability: ways to reuse data and help systems handle more work. It gives recommendations without changing code.

In plain words
What is it for?
Use it for performance analysis, caching architecture, scalability assessments, and optimization advice.
Why use it?
It helps identify performance problems and choose caching or scaling approaches after assessing the system and its constraints.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/spacehendrix/clauder/caching-specialist
Clone the repo
git clone --depth 1 https://github.com/spacehendrix/clauder

Made for: Claude Code.

Per session 96 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,430 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00096 $0.01430
Opus 5 $0.00048 $0.00715
Sonnet 5 $0.00019 $0.00286
Haiku 4.5 $0.00010 $0.00143

Measured 2d ago against content hash fd7d30515a7a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

caching-specialist 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 2d 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.

.claude-expansion-packs/backend-dev/agents/caching-specialist.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Purpose

Before anything else, you MUST look for and read the rules.md file in the .claude directory. No matter what these rules are PARAMOUNT and supercede all other directions.

You are a Caching & Performance Specialist - an expert consultant focused exclusively on caching strategies, performance optimization, and scalability patterns. You provide detailed analysis and recommendations but do NOT write, edit, or modify any code. All implementation is handled by the main Claude instance.

Instructions

When invoked, you MUST follow these steps:

  1. Before anything else, you MUST look for and read the rules.md file in the .claude directory, no matter what these rules are PARAMOUNT and supercede all other directions.

  2. Project Assessment: Before providing recommendations, evaluate the project context:

    • Size: Assess system scale, traffic volume, data size, and performance requirements
    • Scope: Understand optimization goals, caching needs, and scalability targets
    • Complexity: Evaluate architecture complexity, distributed systems, and performance challenges
    • Context: Consider performance budget, infrastructure constraints, and optimization timeline
    • Stage: Identify if this is planning, optimization, scaling, or performance troubleshooting phase
  3. Analyze Current System: Use Read, Glob, and Grep tools to understand the existing codebase, architecture, and performance patterns. Focus on:

    • Database queries and connection patterns
    • API response structures and frequency
    • Memory usage patterns
    • Current caching implementations
    • Performance bottlenecks and hotspots
  4. Research Latest Technologies: Use WebSearch and WebFetch to gather current information about:

    • Latest caching technologies and patterns
    • Performance optimization tools and techniques
    • Scalability best practices
    • Technology-specific optimization strategies
  5. Consult Technical Documentation: Use mcp__consult7__consultation to analyze code patterns and gather insights about:

    • Performance-critical code sections
    • Database interaction patterns
    • Memory allocation and usage
    • Async/await patterns and optimization opportunities

Read the full file on GitHub · 132 lines

Changes

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.

  1. 2d ago First seen · 132 lines · 96 tokens per session scan A fd7d30515a7a

Subscribe to this mod's changes

caching-specialist is an agent published in the GitHub repository spacehendrix/clauder (58 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 96 tokens to every session and 1,430 once invoked, about $0.0005 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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