1999azzar/project-mcp/guardian-cache

Claude Code and agent skill by 1999azzar/project-mcp

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Store temporary agent state and cached API results in Redis using enforced mema:* namespaces and TTL controls. Use when session data or expensive intermediate results must be shared across steps or sub-agents.

Install

npx vskill@latest install 1999azzar/project-mcp/guardian-cache

SKILL.md

Guardian Cache

Standardized Redis-backed caching for agents.

Prerequisites

  • Binary: Python 3.9+ must be available on the host.
  • Credentials: REDIS_URL environment variable (e.g., redis://localhost:6379/0).

Setup

  1. Install dependencies with python3 -m pip install -r skills/guardian-cache/requirements.txt.
  2. Export REDIS_URL; use .env.example only as a configuration reference.

Core Workflows

1. Store and Retrieve
  • Store: printf '%s' "$VALUE" | python3 $WORKSPACE/skills/guardian-cache/scripts/cache_manager.py set mema:cache:<name> --stdin --ttl 3600
  • Fetch: python3 $WORKSPACE/skills/guardian-cache/scripts/cache_manager.py get mema:cache:<name>
2. Search & Maintenance
  • Scan: python3 $WORKSPACE/skills/guardian-cache/scripts/cache_manager.py scan [pattern]
  • Ping: python3 $WORKSPACE/skills/guardian-cache/scripts/cache_manager.py ping

Prefer --stdin for values so secrets and private data do not appear in process listings or shell history. Explicit TTL values must be positive.

Key Naming Convention

Strictly enforce the mema: prefix:

  • mema:context:* – Session state.
  • mema:cache:* – Volatile data.
  • mema:state:* – Persistent state.

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