1999azzar/project-mcp/guardian-cache
Claude Code and agent skill by 1999azzar/project-mcp
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Checking that the SKILL.md file is still in the repository.
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-cacheSKILL.md
Guardian Cache
Standardized Redis-backed caching for agents.
Prerequisites
- Binary: Python 3.9+ must be available on the host.
- Credentials:
REDIS_URLenvironment variable (e.g.,redis://localhost:6379/0).
Setup
- Install dependencies with
python3 -m pip install -r skills/guardian-cache/requirements.txt. - Export
REDIS_URL; use.env.exampleonly 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.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
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Source
- SKILL.md in the repositoryCheckingskills/guardian-cache/SKILL.md
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