ClawCache Free - LLM Cost Tracking & Caching
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Overview
No static analysis result has been recorded yet. Pattern checks will appear here once the artifact has been analyzed.
Findings (0)
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.