ClawCache Free - LLM Cost Tracking & Caching
PassAudited by ClawScan on May 10, 2026.
Overview
This documentation-only skill appears aligned with local LLM cost tracking and caching, but users should verify the external Python package and manage the local cache of prompts and responses.
Before installing, confirm whether the intended package is `clawcache` or `clawcache-free`, review the external package source if possible, and remember that prompts and responses may be stored under `~/.clawcache` unless you configure another location.
Findings (2)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Installing the package will run code that was not included in these reviewed artifacts.
The skill itself includes no runnable code or install spec, so actual behavior depends on an external, unpinned Python package installed by the user.
```bash pip install clawcache ```
Verify the intended PyPI package, source repository, and version before installing; prefer pinning a reviewed version.
Sensitive prompts or responses may remain on disk and later be reused from cache instead of making a fresh model call.
The documented workflow saves prompts and LLM responses into a persistent local cache directory.
await cache.aset(prompt, response, model=model) ... export CLAWCACHE_HOME=/path/to/cache # Default: ~/.clawcache
Choose a protected cache location, avoid caching secrets, and periodically clear or manage the cache when working with sensitive data.