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megacave

An AI agent skill from JuliusBrussee/caveman, scored 47 out of 100 by code.

47/ 100D

Code score by group

  • Spec20/20
  • Description5/20
  • Procedure0/15
  • Done criteria0/15
  • Resources7/10
  • Scripts5/8
  • Safety7/7
  • Upkeep3/5

It loses the most points in Description (15), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

Caveman in Classical Chinese: 文言文 register, far fewer characters, technical terms verbatim. Invoke only with /megacave or /caveman wenyan. Stays on until "stop caveman" or "normal mode".

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
JuliusBrussee/caveman
Folder
skills/megacave
License
Apache-2.0
GitHub stars
119,225
SKILL.md lines
66
Other files
1

Add megacave to your agent

npx skills add JuliusBrussee/caveman --skill megacave

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

More skills from JuliusBrussee/caveman

  1. caveman-setup

    Wire a repository through the Caveman Cloud gateway so every LLM request is measured, with no behavior change. Use for "set up caveman" or adding LLM spend observability.

    74B
  2. caveman-manage

    Inspect Caveman Cloud's experiment lifecycle and block unsafe execution. Use when asked to start, approve, cancel, promote or roll back a Caveman experiment.

    70B
  3. caveman-compress

    Compress a memory file such as CLAUDE.md or a todo list into caveman format to save input tokens, keeping a readable backup. Sends the file's text to the configured model provider…

    69C
  4. caveman-discover

    Find and label every LLM workflow in the repository so Caveman Cloud groups spend by workflow instead of one bucket. Use for "discover workflows" or breaking LLM spend down by wor…

    69C
  5. caveman-evidence-review

    Read-only review of Caveman Cloud evidence: cost, Cave Score, workflows, traces, latency, errors, routing, savings. Use when asked what Caveman found or where LLM spend goes.

    68C
  6. caveman

    Terse caveman voice: answer first, fluff gone, every technical fact kept. Use for /caveman, "caveman mode", "talk like caveman", "be brief", "less tokens". Stays on until "stop ca…

    63C
  7. caveman-review

    Compressed code review - one line per finding with location, problem and fix. Use for /caveman-review, "review this PR", or "review the diff".

    62C
  8. caveman-optimize

    Turn a Caveman optimization observation into an operator-chosen candidate with a paired baseline evaluation. Use when asked to inspect or evaluate a Caveman optimization report. N…

    61C

All skills in JuliusBrussee/caveman

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.