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caveman-compress

Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman-compress FILEPATH or "compress memory file"

65

Quality

78%

Does it follow best practices?

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SecuritybySnyk

High

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tessl review fix ./skills/caveman-compress/SKILL.md
SKILL.md
Quality
Evals
Security

Security

1 high severity finding. You should review these findings carefully before considering using this skill.

High

W007: Insecure credential handling detected in skill instructions.

What this means

The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.

Why it was flagged

The skill instructs the agent to call an external LLM (Claude) to compress files while requiring code blocks, inline code, URLs, commands, and environment variables be preserved EXACTLY, which forces the LLM to reproduce any embedded secrets verbatim.

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Low

Low-risk findings.

1 low severity finding. Worth noting, but not necessarily harmful.

Low

W011: Third-party content exposure detected (indirect prompt injection risk).

What this means

The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.

Why it was flagged

At runtime, the required workflow reads the user-specified local natural-language file contents (including any outsider-authored text inside that file) via `filepath.read_text()` and sends that content to Claude in `call_claude(build_compress_prompt(body))`, so an outsider can inject free text by getting it into the target file.

Repository
JuliusBrussee/caveman
Audited
Security analysis
Snyk

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