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caveman-evidence-reviewby Julius BrusseeDataGitHub stars: 109k

Caveman Evidence Review skill: what it does and how to install it

Reviews Caveman Cloud evidence to explain LLM spend through costs, traces and verified savings.

Summary generated from the skill's documentation.

Install

$ npx skills add JuliusBrussee/caveman --skill caveman-evidence-review

Run it in a terminal. If your agent is already running, start a new session so it picks the skill up.

About this skill

What it does. Reads current Caveman Cloud data in the selected project, using overview, cost, score, workflow and savings reports before ranked headroom and bounded trace searches. Inspects representative metadata and compares cohorts without fetching payloads, keeping measured cost, inferred headroom, verified savings and evidence cost separate.

When to use it. Use it to investigate where spend, latency, errors or routing behaviour comes from. It does not start, approve, cancel or roll back experiments, and stops when login, project context or supporting evidence is missing.

History

Repo stars

109kAbout +8k since 9 Jul 2026

Before 1 Oct 2026 the curve is estimated from public event data.

Stars are counted for the whole repository, which holds 20 skills.

Show as a table
Repo stars by day
DateRepo stars
1 Oct 2026108,672
24 Sept 2026 (estimated)108,359
17 Sept 2026 (estimated)107,939
10 Sept 2026 (estimated)105,130
3 Sept 2026 (estimated)101,650
27 Aug 2026 (estimated)101,470
20 Aug 2026 (estimated)101,320
13 Aug 2026 (estimated)101,310
6 Aug 2026 (estimated)101,120
30 Jul 2026 (estimated)101,070
23 Jul 2026 (estimated)100,990
16 Jul 2026 (estimated)100,920
9 Jul 2026 (estimated)100,711

Installs

77.5k

Tracking since . A chart appears once there are 7 days of data.

Installs via skills.sh

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