Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
Generate structured research progress reports. An agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7.
Install Progress Report
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill progress-report -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 progress-report --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/progress-report .claude/skills/progress-report && 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 "progress-report" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/progress-report into .claude/skills/progress-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "progress-report", 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/progress-reportType 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 progress-report -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 progress-report --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/progress-report .agents/skills/progress-report && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "progress-report" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/progress-report into .agents/skills/progress-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "progress-report", 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 progress-report -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 progress-report --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/progress-report .cursor/skills/progress-report && 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 "progress-report" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/progress-report into .cursor/skills/progress-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "progress-report", 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/progress-report--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 progress-report -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Xiangyue-Zhang/auto-deep-researcher-24x7 progress-report --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/progress-report .gemini/skills/progress-report && 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 "progress-report" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/progress-report into .gemini/skills/progress-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "progress-report", 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 progress-reportInstalls 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 progress-report -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/progress-report .github/skills/progress-report && 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 "progress-report" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/progress-report into .github/skills/progress-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "progress-report", 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 progress-report -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 progress-report --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/progress-report .opencode/skills/progress-report && 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 "progress-report" agent skill from https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/progress-report into .opencode/skills/progress-report/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "progress-report", 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
progress-report- GitHub stars
- 1.3k
- Token cost
- ~213 tokens
- SKILL.md length
- 47 words
- Files
- 2
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Generate structured research progress reports. An agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7.
- Works in 3 steps: Read the project's MEMORY_LOG.md for… → Check recent experiment logs in workspace → Compile results into a structured report
- AI & LLM Engineering work in your project
- SKILL.md covers Behavior and Output Format
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Progress Report is an agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7. Generate structured research progress reports
Its SKILL.md is about 210 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
- “/progress-report”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Read the project's MEMORY_LOG.md for milestones and decisions
- Check recent experiment logs in workspace
- Compile results into a structured report
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
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
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
Progress Report loads about 213 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 47 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). 47 words, ~213 tokens.
Download SKILL.mdSave it as
.claude/skills/progress-report/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- progress-report
- description
- Generate structured research progress reports
progress-report
Generate a structured progress report for the current research project.
Invoke as /progress-report in Claude Code or $progress-report in Codex.
Behavior
- Read the project's MEMORY_LOG.md for milestones and decisions
- Check recent experiment logs in workspace
- Compile results into a structured report
Output Format
# Progress Report — YYYY-MM-DD
## Current Status
- Best result: [metric]
- Total experiments: [N]
- Current direction: [description]
## Recent Experiments
| # | Config | Metric | Date | Notes |
|---|--------|--------|------|-------|
## Key Insights
- What we learned
- What works / doesn't work
## Next Steps
1. Planned experiments
2. Open questions
## Blockers
- Any issues or risks© 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/progress-report of Xiangyue-Zhang/auto-deep-researcher-24x7.
- SKILL.md
- agents/openai.yaml
Open the folder on GitHubat commit dbf3df8
Compare with similar skills
Progress Report 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 |
|---|---|---|---|---|---|---|
| Progress Report this skillXiangyue-Zhang/auto-deep-researcher-24x7 | 1.3k | — | ~213 | 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 Progress Report
What does Progress Report do?
Generate structured research progress reports. An agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7. Progress Report is an agent skill from Xiangyue-Zhang/auto-deep-researcher-24x7.
When should I use Progress Report?
Progress Report fits situations like: AI & LLM Engineering work in your project.
How do I install Progress Report in Claude Code?
Run `npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill progress-report -a claude-code`. Or copy the skill folder (skills/progress-report in Xiangyue-Zhang/auto-deep-researcher-24x7) into .claude/skills/progress-report in your project. Claude Code loads it when a task matches its description.
How do I install Progress Report in Codex?
Run `npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill progress-report -a codex`. Or copy the skill folder (skills/progress-report in Xiangyue-Zhang/auto-deep-researcher-24x7) into .agents/skills/progress-report in your project. Codex loads it when a task matches its description.
Can I use Progress Report 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 progress-report -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/progress-report, .gemini/skills/progress-report, .github/skills/progress-report and .opencode/skills/progress-report in your project.
What does Progress Report need to run?
SKILL.md names no scripts, command-line tools or credentials: Progress Report is instructions for the agent only.
Does Progress Report 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 Progress Report 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 Progress Report use?
Progress Report 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 Progress Report use?
About 213 tokens (SKILL.md is roughly 852 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 Progress Report?
Skills that share tags, products or a category with Progress Report: 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 Progress Report?
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.