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shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Check status of running autonomous experiment loops. An agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7.
Install Experiment Status
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill experiment-status -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 experiment-status --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/experiment-status .claude/skills/experiment-status && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "experiment-status" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/experiment-status into .claude/skills/experiment-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-status", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/experiment-statusType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill experiment-status -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 experiment-status --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/experiment-status .agents/skills/experiment-status && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "experiment-status" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/experiment-status into .agents/skills/experiment-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-status", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill experiment-status -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 experiment-status --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/experiment-status .cursor/skills/experiment-status && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "experiment-status" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/experiment-status into .cursor/skills/experiment-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-status", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7.git --path skills/experiment-status--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill experiment-status -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 experiment-status --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/experiment-status .gemini/skills/experiment-status && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "experiment-status" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/experiment-status into .gemini/skills/experiment-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-status", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 experiment-statusInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill experiment-status -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/experiment-status .github/skills/experiment-status && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "experiment-status" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/experiment-status into .github/skills/experiment-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-status", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill experiment-status -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 experiment-status --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/experiment-status .opencode/skills/experiment-status && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "experiment-status" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/experiment-status into .opencode/skills/experiment-status/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "experiment-status", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
experiment-status- GitHub stars
- 1.3k
- Token cost
- ~381 tokens
- SKILL.md length
- 101 words
- Files
- 2
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Check status of running autonomous experiment loops. An agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7.
- Works in 7 steps: Read PROJECT_BRIEF.md — show the… → Read MEMORY_LOG.md — show key results… → Read .cycle_counter — show how many… → …
- AI & LLM Engineering work in your project
- SKILL.md covers Usage, Behavior and Output Format
- Calls claude
What it does
Experiment Status is an agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7. Check status of running autonomous experiment loops
Its SKILL.md is about 380 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).
It sits in AI & LLM Engineering. The repository describes itself as: 🔥 An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory. The licence is Apache-2.0.
When your agent uses it
- AI & LLM Engineering work in your project
Example prompts
- “/experiment-status”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- Read PROJECT_BRIEF.md — show the research goal
- Read MEMORY_LOG.md — show key results and recent decisions
- Read .cycle_counter — show how many cycles completed
- Check for running training processes via the configured execution backend
- If training is running, tail the log file for latest output
- Show GPU utilization through the configured backend
- Check if HUMAN_DIRECTIVE.md exists (pending directive)
What it can do on your machine
Read from SKILL.md and the folder at commit dbf3df8. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
claude
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Experiment Status loads about 381 tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 101 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Xiangyue-Zhang/auto-deep-researcher-24x7 at commit dbf3df8, republished under its Apache-2.0 licence (© Xiangyue-Zhang). 101 words, ~381 tokens.
Download SKILL.mdSave it as
.claude/skills/experiment-status/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- experiment-status
- description
- Check status of running autonomous experiment loops
experiment-status
Check the current status of your autonomous experiment agent.
Usage
Claude Code: /experiment-status
Claude Code: /experiment-status --project /path/to/project
Codex: $experiment-statusBehavior
- Read
PROJECT_BRIEF.md— show the research goal - Read
MEMORY_LOG.md— show key results and recent decisions - Read
.cycle_counter— show how many cycles completed - Check for running training processes via the configured execution backend
- If training is running, tail the log file for latest output
- Show GPU utilization through the configured backend
- Check if
HUMAN_DIRECTIVE.mdexists (pending directive)
If execution.mode=ssh, controller state still comes from the local project
directory, but PID checks, training logs, and GPU status come from the
configured remote host.
Output Format
# Experiment Status — my-project
## Goal
Train ViT-B/16 on ImageNet to 78%+ accuracy
## Progress
- Cycles completed: 4
- Current best: 78.3% (Exp004, ViT-B/16 + cosine + mixup)
- Status: TRAINING (PID 12345, GPU 0, running 3.2h)
## Latest Training Log
Epoch 45/90 | loss: 2.134 | acc: 77.1% | lr: 1.2e-4
## Recent Decisions
1. [04-08 14:45] Target reached with mixup, trying stronger augmentation
2. [04-08 06:00] Cosine schedule helped, adding regularization
## Pending Directive
None (drop a file at workspace/HUMAN_DIRECTIVE.md to intervene)© Xiangyue-Zhang, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file in skills/experiment-status of Xiangyue-Zhang/auto-deep-researcher-24x7.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit dbf3df8
Compare with similar skills
Experiment Status next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Experiment Status this skillXiangyue-Zhang/auto-deep-researcher-24x7 | 1.3k | — | ~381 | Automated safety check: Pass | Apache-2.0 | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Experiment Status
What does Experiment Status do?
Check status of running autonomous experiment loops. An agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7. Experiment Status is an agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7.
When should I use Experiment Status?
Experiment Status fits situations like: AI & LLM Engineering work in your project.
How do I install Experiment Status in Claude Code?
Run `npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill experiment-status -a claude-code`. Or copy the skill folder (skills/experiment-status in Xiangyue-Zhang/auto-deep-researcher-24x7) into .claude/skills/experiment-status in your project. Claude Code loads it when a task matches its description.
How do I install Experiment Status in Codex?
Run `npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill experiment-status -a codex`. Or copy the skill folder (skills/experiment-status in Xiangyue-Zhang/auto-deep-researcher-24x7) into .agents/skills/experiment-status in your project. Codex loads it when a task matches its description.
Can I use Experiment Status in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill experiment-status -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/experiment-status, .gemini/skills/experiment-status, .github/skills/experiment-status and .opencode/skills/experiment-status in your project.
What does Experiment Status need to run?
Going by SKILL.md and its folder, Experiment Status needs the command-line tools its instructions call (claude).
Does Experiment Status access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Experiment Status safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Experiment Status use?
Experiment Status is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Experiment Status use?
About 381 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Experiment Status?
Skills that share tags, products or a category with Experiment Status: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Experiment Status?
Xiangyue-Zhang (a GitHub user) maintains it in Xiangyue-Zhang/auto-deep-researcher-24x7, which has 1,296 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on June 3, 2026.
Source: Xiangyue-Zhang/auto-deep-researcher-24x7 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.