Report Agent Skill

Report

Report the current evo workspace from recorded state only. A report request is

read-only, even if the user phrases it casually as "what happened?", "what got

better?", "what should I pay attention to?", or "I just woke up".

Do not spend compute while reporting:

• Do not run evo run, evo gate check, benchmark commands, or project eval

scripts.

• Do not run python bench.py, python slurm_eval.py, sbatch, srun,

squeue, sacct, or scancel to verify a result.

• Do not create launcher, monitor, parsing, or analysis scripts.
• Do not edit files.

Use stored evo state instead: evo report, evo status, evo tree,

evo frontier, evo show <id>, evo diff <id>, and immutable artifacts under

.evo/run_*/experiments/<exp>/attempts/<NNN>/.

For chart requests, 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 valid result, red = failed, purple = active, grey = pending / evaluated / discarded / pruned
• ★ marks the current best valid committed-result experiment. pruned with prune_kind=exhausted can still be best; prune_kind=invalid and its descendants cannot.
• Yellow ring on dots that sit on the best-path spine (root → best)
• Yellow stair line traces cumulative-best across valid committed-result 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:

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 show <id> is faster.
• For navigating the tree shape, evo tree is the right command.
• For interactive exploration (click a dot, open a drawer), point the user at evo dashboard instead.

Overnight / Improvement Reports

When the user asks what happened recently or what improved, summarize from

recorded evo state:

• Run evo status, evo frontier, and evo tree.
• Use evo show <id> for the best node and any recent committed/evaluated

nodes you mention.

• Use evo diff <id> only to explain what changed in a recorded experiment.
• If you need benchmark details, read the existing outcome.json,

benchmark.log, or declared artifacts for that experiment. Treat missing

artifacts as "not recorded", not as permission to rerun.

Report:

• best current experiment and score;
• score delta versus baseline or parent;
• top candidates/frontier if relevant;
• failed/evaluated nodes that need attention;
• any caveats about gates, missing held-out checks, or tied candidates.

If the user wants fresh validation or reruns, ask them to explicitly start a new

optimization or evaluation command. Do not infer that from a report request.