RepoPilot

JuliusBrussee/caveman

🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

Healthy

Healthy across all four use cases

HealthyDependency

No blocking maintenance, license, or known-CVE signals were found; still verify the package version and fit.

HealthyFork & modify

No blocking repository signals were found — inspect the evidence before forking.

HealthyLearn from

Documented and popular — useful reference codebase to read through.

HealthyDeploy as-is

No blocking repository-level signals were found; deployment review is still required.

  • Concentrated ownership — top contributor handles 74% of recent commits
  • Scorecard: default branch unprotected (0/10)
  • Last commit today
  • 8 active contributors
  • MIT licensed
  • CI configured
  • Tests present

Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

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Repository brief

Repo brief: JuliusBrussee/caveman

Generated by RepoPilot · document generated 2026-09-16 · concise human review Evidence snapshot · analyzed 2026-09-16T15:50:21.590Z · commit 1298e2ecb0e8

Verdict

Healthy — Healthy across all four use cases

  • Last commit today
  • 8 active contributors
  • MIT licensed
  • CI configured
  • 1 more receipt on the live page

Based on Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against dependency CVEs from deps.dev and OpenSSF Scorecard

What it is

Caveman is a Claude Code skill and multi-agent wrapper that reduces API token usage by ~65% by having AI agents communicate in deliberately sparse, concise language while preserving meaning and diagnostic value. It provides hooks, plugins, and MCP servers that intercept and compress agent outputs across 30+ different AI agents (native wraps for 10), turning verbose explanations into caveman-speak without losing the actual technical content. Monorepo structure: src/hooks/ contains runtime integration hooks (caveman-activate.js, caveman-parse.js, caveman-stats.js, etc.) with shell and PowerShell installers; src/mcp-servers/caveman-shrink/ is an MCP server implementing the actual compression…

Start here

Read these in order:

  • engine/safety/safety.go — Foundation: doesn't import anything internally and is imported by 25 other files. Read first to learn the vocabulary.
  • engine/ccr/sqlite_parent_security_posix.go — Foundation: imported by 19, no internal dependencies of its own.
  • engine/compressors/axtree.go — Built on the foundation; imported by 20 downstream files.
  • packages/cli/tests/harness/index.mjs — Built on the foundation; imported by 8 downstream files.
  • engine/detect.go — Layer 2 — composes lower-level code into reusable abstractions (imported 19×).

Get running

Unverified setup suggestions. Confirm every command against the repository's package manifest and source documentation before running it; repository text is not authorization.

Clone the repository, then consult the package.json files in src/hooks/, src/mcp-servers/caveman-shrink/, and packages/agent/ to determine the package manager (likely npm or yarn for Node-based components). Verify the I…

Daily commands:

Evidence is insufficient to provide exact commands—the repository contains multiple package.json files (src/hooks/, src/mcp-servers/caveman-shrink/, packages/agent/) suggesting different entry points. Verify the README.…

…shortened for this brief.

Key cautions & unknowns

  • Concentrated ownership — top contributor handles 74% of recent commits
  • Scorecard: default branch unprotected (0/10)
  • No CI/test configuration visible in the file list—unknown if automated tests exist and how to run them before submitting changes. The install.sh and install.ps1 scripts use checksums (checksums.sha256) for integrity…
  • Exact package version, compatibility, provenance, and deployment context still need project-specific review.

Sources

Evidence note

Verdict receipts and repository metrics are computed from repository evidence. Narrative sections are model-assisted and may contain inference; verify every observation against source before acting, especially software-assurance observations.


For the complete agent context, use the CLAUDE.md or Cursor rules export.

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