report
Read-only evo run reporting. Use when the user invokes /evo:report, asks what happened overnight, asks what improved recently, asks for the best/frontier candidates, asks for a quick score chart without opening the dashboard, or wants the scatter plot in chat output. Never run benchmarks, gates, Slurm commands, evo run, or ad-hoc verification scripts for report requests.
How do I install this agent skill?
npx skills add https://github.com/evo-hq/evo --skill reportIs this agent skill safe to install?
- Gen Agent Trust Hubpass
This skill provides read-only reporting for the 'evo' development workspace. It leverages vendor-specific CLI tools to visualize project status and experiment scores while explicitly forbidding any compute-heavy or destructive operations. No security issues were detected.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
What does this agent skill do?
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, orscancelto 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.
prunedwithprune_kind=exhaustedcan still be best;prune_kind=invalidand 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. Defaultauto(color when stdout is a TTY). Pass--color alwaysif you are piping through a host that strips TTY but renders ANSI in chat.--watch [SECONDS]— live-refresh mode (likenvidia-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 statusorevo show <id>is faster. - For navigating the tree shape,
evo treeis the right command. - For interactive exploration (click a dot, open a drawer), point the user at
evo dashboardinstead.
Overnight / Improvement Reports
When the user asks what happened recently or what improved, summarize from recorded evo state:
- Run
evo status,evo frontier, andevo 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.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/evo-hq/evo/report">View report on skillZs</a>