report

Solid

Print the dashboard's dot chart (score over experiment order, status colors, best-path stair) inline in the terminal for every run in the workspace. Use when the user invokes /evo:report, asks for a quick score chart without opening the dashboard, or wants the scatter plot in chat output.

AI & Automation 1,097 stars 81 forks Updated today Apache-2.0

Install

View on GitHub

Quality Score: 94/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
84
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Report Render the dashboard's scatter plot as a colored terminal block, one chart per run, sized to the current terminal. ## What it shows Mirrors the web dashboard's score scatter (left rail of `evo dashboard`): - X = experiment creation order, Y = score - Dot color by status: green = committed, red = failed, purple = active, grey = pending / evaluated / discarded / pruned - ★ marks the current best committed experiment - Yellow ring on dots that sit on the best-path spine (root → best) - Yellow stair line traces cumulative-best across committed experiments - ○ at the baseline for experiments that have no score yet (active / pending) Every run in the workspace is rendered, stacked top-to-bottom, with a header line showing `run_id · target · metric`. ## How to invoke Run: ```bash evo report ``` That is it. Print the output verbatim in your reply so the user sees the chart. Do not summarize the chart in prose — the visual is the point. Flags: - `--color always|never|auto` — force or suppress ANSI color. Default `auto` (color when stdout is a TTY). Pass `--color always` if you are piping through a host that strips TTY but renders ANSI in chat. - `--watch [SECONDS]` — live-refresh mode (like `nvidia-smi -l`). Re-reads the workspace every N seconds (default 2) and redraws in place. Ctrl-C to exit. Use this when you want to babysit a running optimization without manually re-invoking the report. ## When not to use - For one-off score lookups, `evo status` or `evo sho...

Details

Author
evo-hq
Repository
evo-hq/evo
Created
2 months ago
Last Updated
today
Language
Python
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category