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autolab-reporter Skill

AI Agent SkillPythonOpen source

Operate the local Trackio reporter for Autolab HF Jobs. Use when a reporter or planner needs to inspect scores, active jobs, worker anomalies, duplicate launches, or the overall experiment board. Published by huggingface in context-course.

What is autolab-reporter Skill?

Operate the local Trackio reporter for Autolab HF Jobs. Use when a reporter or planner needs to inspect scores, active jobs, worker anomalies, duplicate launches, or the overall experiment board. Published by huggingface in context-course. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
45/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using context-course

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use autolab-reporter Skill

  • Use it for developers using context-course.

Built with

PythonCopy skill directory

Editorial notes

Source

  • Creator: huggingface
  • Repository: huggingface/context-course
  • Skill file: projects/pre-training/.agents/skills/autolab-reporter/SKILL.md

What it does

Operate the local Trackio reporter for Autolab HF Jobs. Use when a reporter or planner needs to inspect scores, active jobs, worker anomalies, duplicate launches, or the overall experiment board.

Skill instructions

Use this for the control-plane view of the experiment fleet. Workflow 1. Load the local operator env: - . ~/.autolab/credentials 2. Sync the latest HF Jobs into Trackio: - uv run scripts/trackioreporter.py sync --project autolab 3. Review the human-readable summary: - uv run scripts/trackioreporter.py summary --max-jobs 25 4. Keep the live dashboard open when monitoring parallel runs: - uv run scripts/trackioreporter.py dashboard --project autolab --mcp-server --no-footer 5. For continuous reporting: - uv run scripts/trackioreporter.py sync --project autolab --watch --interval 300 What To Watch - active experiment jobs versus non-experiment jobs - duplicate active jobs for the same experiment or hypothesis - prepare jobs that still carry experiment labels, which usually indicate wasted bootstrap work - leaderboard entries that actually beat the current local promoted master Guardrails - Treat the reporter as the source of truth for fleet status, not stale shell output from one worker.

Explore related resources

Frequently asked questions

What is autolab-reporter?

autolab-reporter is a open-source AI agent skill with Copy skill directory. Operate the local Trackio reporter for Autolab HF Jobs. Use when a reporter or planner needs to inspect scores, active jobs, worker anomalies, duplicate launches, or the overall experiment board.

Who is autolab-reporter best for?

autolab-reporter is best for reusing agent instructions, scripts, and references.

How do I install autolab-reporter?

Install or run autolab-reporter using Copy skill directory. Check autolab-reporter for the latest setup command.

Is autolab-reporter actively maintained?

autolab-reporter may need a closer maintenance check before production use.

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Last commit
2 months ago
Repository age
3 months
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