Home/Compare/agent-skills-eval vs caveman

Comparison

agent-skills-eval vs caveman

Verdict

Pick agent-skills-eval when agent-skills-eval is primarily TypeScript; caveman is JavaScript; pick caveman when caveman is primarily JavaScript; agent-skills-eval is TypeScript.

Markdown twin · agent-skills-eval alternatives · caveman alternatives

GraphCanon updated today

agent-skills-eval logo

agent-skills-eval

darkrishabh/agent-skills-eval

618pushed Jul 8, 2026
vs
caveman logo

caveman

JuliusBrussee/caveman

88kpushed Jul 3, 2026

Trust & integrity

Signalagent-skills-evalcaveman
Maintenance
Very active (2d since push)
As of today · github_public_v1
Active (7d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No lockfile
As of today · none

Tagline

agent-skills-eval
A test runner for agentskills.io-style AI agent skills
caveman
Reduce token usage with concise 'caveman'-style prompts.

Stars

agent-skills-eval
618
caveman
88k

Forks

agent-skills-eval
33
caveman
5.1k

Open issues

agent-skills-eval
8
caveman
392

Language

agent-skills-eval
TypeScript
caveman
JavaScript

Adopt for

agent-skills-eval
-
caveman
The **caveman** tool is designed for developers and AI users who aim to optimize their token usage through the generation of more concise prompts, thereby potentially reducing costs and improving efficiency. However, it犺

Persona

agent-skills-eval
-
caveman
-

Runtime

agent-skills-eval
-
caveman
-

License

agent-skills-eval
MIT
caveman
MIT

Last pushed

agent-skills-eval
Jul 8, 2026
caveman
Jul 3, 2026

Categories

agent-skills-eval
AI Agents, Developer Tools, LLM Frameworks
caveman
Developer Tools, LLM Frameworks

Trust and health

Maintenance

agent-skills-eval
Very active (96%)
caveman
Active (82%)

Days since push

agent-skills-eval
2d
caveman
7d

Open issues (now)

agent-skills-eval
8
caveman
392

Full report

agent-skills-eval
Trust report

Choose agent-skills-eval if…

  • agent-skills-eval is primarily TypeScript; caveman is JavaScript.
  • Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, ai-agents.
  • Also covers AI Agents.

When NOT to use agent-skills-eval

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose caveman if…

  • caveman is primarily JavaScript; agent-skills-eval is TypeScript.
  • Tags unique to caveman: ai, anthropic, caveman, claude-code.
  • When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content.

When NOT to use caveman

  • When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences.
  • For situations where adherence to formal or specific linguistic structures is mandatory for the task's success.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: agent-skills-eval 618 · caveman 88k (synced Jul 11, 2026).

Common questions

What is the difference between agent-skills-eval and caveman?
agent-skills-eval: A test runner for agentskills.io-style AI agent skills. caveman: Reduce token usage with concise 'caveman'-style prompts.. See the comparison table for live GitHub stats and shared categories.
When should I choose agent-skills-eval over caveman?
Choose agent-skills-eval over caveman when agent-skills-eval is primarily TypeScript; caveman is JavaScript; Tags unique to agent-skills-eval: agent-evals, agent-skills, agentskills, ai-agents; Also covers AI Agents.
When should I choose caveman over agent-skills-eval?
Choose caveman over agent-skills-eval when caveman is primarily JavaScript; agent-skills-eval is TypeScript; Tags unique to caveman: ai, anthropic, caveman, claude-code; When you need to significantly cut down on token usage in AI interactions, up to 65%, without losing essential information content.
When should I avoid agent-skills-eval?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid caveman?
When requiring complex and detailed prompts that necessitate more nuanced expression beyond simple, 'caveman'-style sentences. For situations where adherence to formal or specific linguistic structures is mandatory for the task's success.
Is agent-skills-eval or caveman more popular on GitHub?
caveman has more GitHub stars (87,950 vs 618). Stars measure visibility, not whether either tool fits your constraints.
Are agent-skills-eval and caveman open source?
Yes - both are open-source projects on GitHub (agent-skills-eval: MIT, caveman: MIT).
Where can I find alternatives to agent-skills-eval or caveman?
GraphCanon lists graph-backed alternatives at agent-skills-eval alternatives and caveman alternatives (agent-skills-eval markdown twin, caveman markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, agent-skills-eval or caveman?
agent-skills-eval: Very active. caveman: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for agent-skills-eval and caveman?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-skills-eval trust report; caveman trust report.