Schedule
TinyAGI/tinyagi
Create, list, and delete scheduled tasks (recurring or one-time) that send messages to agents.
Monitors running spatial experiments. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
Install Training Check
$ npx skills add GRIND-Lab-Core/night_owl_research_agent --skill training-check -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent training-check --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/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/training-check .claude/skills/training-check && 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 "training-check" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/training-check into .claude/skills/training-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-check", 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/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/training-checkType 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 GRIND-Lab-Core/night_owl_research_agent --skill training-check -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent training-check --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/training-check .agents/skills/training-check && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "training-check" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/training-check into .agents/skills/training-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-check", 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 GRIND-Lab-Core/night_owl_research_agent --skill training-check -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent training-check --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/training-check .cursor/skills/training-check && 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 "training-check" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/training-check into .cursor/skills/training-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-check", 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/GRIND-Lab-Core/night_owl_research_agent.git --path skills/training-check--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 GRIND-Lab-Core/night_owl_research_agent --skill training-check -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent training-check --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/training-check .gemini/skills/training-check && 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 "training-check" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/training-check into .gemini/skills/training-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-check", 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 GRIND-Lab-Core/night_owl_research_agent training-checkInstalls 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 GRIND-Lab-Core/night_owl_research_agent --skill training-check -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/training-check .github/skills/training-check && 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 "training-check" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/training-check into .github/skills/training-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-check", 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 GRIND-Lab-Core/night_owl_research_agent --skill training-check -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install GRIND-Lab-Core/night_owl_research_agent training-check --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/GRIND-Lab-Core/night_owl_research_agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/training-check .opencode/skills/training-check && 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 "training-check" agent skill from https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/training-check into .opencode/skills/training-check/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "training-check", 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
training-check- GitHub stars
- 106
- Token cost
- ~973 tokens
- SKILL.md length
- 455 words
- Files
- 1
- Skills in repo
- 19
- Repo updated
- First seen
- Licence
- None found
At a glance
Monitors running spatial experiments. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
- Works in 5 steps: Check Active Experiments → Classify Status → Actions → …
- Tasks that involve Scheduled and recurring tasks
- SKILL.md covers Phase 1: Check Active…, Phase 2: Classify Status, Phase 3: Actions and Phase 3.5: Human Checkpoint —…, plus 1 more section
- Calls python
What it does
Training Check is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Monitors running spatial experiments. Checks output files, log files, and process status. Categorizes results as OK, STALLED, FAILED, or COMPLETE. Fires alerts by appending to output/PROJNOTES.md. Run every 15 minutes during Stage 3 of research-pipeline.
Its SKILL.md is about 970 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Productivity & Automation, covering Scheduled and recurring tasks. The repository describes itself as: Fully automatic AI research agent for Geoscientists, Remote Sensing researchers, and GIScientists. Features harness engineering, GeoBenchmark (OLS/GWR/MGWR), journal templates…
When your agent uses it
- Tasks that involve Scheduled and recurring tasks
Example prompts
- “Use the training-check skill to monitor running spatial experiments. An agent skill from GRIND-Lab-Core/night_owl_research_agent”
- “/training-check”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
- Check Active Experiments
- Classify Status
- Actions
- 5: Human Checkpoint — Data Synthesis
- Progress Report
What it can do on your machine
Read from SKILL.md and the folder at commit 5f7a246. 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:
python
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
Training Check loads about 973 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 455 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 455 words (~973 tokens).
“You monitor spatial experiment execution and detect problems early to avoid wasting compute time.”
- name
- training-check
- tools
- Bash, Read, Write
Files
Just SKILL.md in skills/training-check of GRIND-Lab-Core/night_owl_research_agent.
Open the folder on GitHubat commit 5f7a246
Compare with similar skills
Training Check 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 |
|---|---|---|---|---|---|---|
| Training Check this skillGRIND-Lab-Core/night_owl_research_agent | 106 | — | ~973 | Automated safety check: Pass | None | |
| ScheduleTinyAGI/tinyagi | 3.6k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Send User MessageTinyAGI/tinyagi | 3.6k | — | ~829 | Automated safety check: Pass | MIT | |
| Cron Opsczl9707/build-your-own-openclaw | 1.9k | — | ~593 | Automated safety check: Pass | MIT | |
| X Bookmarkssharbelxyz/x-bookmarks | 289 | — | ~2k | Automated safety check: Notes | None | |
| Wp Wpcli And OpsAutomattic/agent-skills | 211 | 2 repos | ~988 | Automated safety check: Pass | None |
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Deploy and run experiments for ML/DL training (local, remote, or Modal GPU) AND spatial data science / GIScience experiments (local, data-driven).
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Turn a refined GIScience / remote sensing / spatial data science proposal into a detailed, claim-driven experiment roadmap.
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Run an end-to-end workflow that chains the skills refine-research and experiment-design.
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Related
Categories
Questions about Training Check
What does Training Check do?
Monitors running spatial experiments. An agent skill from GRIND-Lab-Core/night_owl_research_agent. Training Check is an agent skill from GRIND-Lab-Core/night_owl_research_agent. Monitors running spatial experiments.
When should I use Training Check?
Training Check fits situations like: tasks that involve Scheduled and recurring tasks.
How do I install Training Check in Claude Code?
Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill training-check -a claude-code`. Or copy the skill folder (skills/training-check in GRIND-Lab-Core/night_owl_research_agent) into .claude/skills/training-check in your project. Claude Code loads it when a task matches its description.
How do I install Training Check in Codex?
Run `npx skills add GRIND-Lab-Core/night_owl_research_agent --skill training-check -a codex`. Or copy the skill folder (skills/training-check in GRIND-Lab-Core/night_owl_research_agent) into .agents/skills/training-check in your project. Codex loads it when a task matches its description.
Can I use Training Check 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 GRIND-Lab-Core/night_owl_research_agent --skill training-check -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/training-check, .gemini/skills/training-check, .github/skills/training-check and .opencode/skills/training-check in your project.
What does Training Check need to run?
Going by SKILL.md and its folder, Training Check needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Training Check 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 Training Check 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 Training Check use?
No licence was found for Training Check or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Training Check use?
About 973 tokens (SKILL.md is roughly 3.9k 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 Training Check?
Skills that share tags, products or a category with Training Check: Schedule (TinyAGI/tinyagi, 3.6k stars), Send User Message (TinyAGI/tinyagi, 3.6k stars), Cron Ops (czl9707/build-your-own-openclaw, 1.9k stars) and X Bookmarks (sharbelxyz/x-bookmarks, 289 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Training Check?
GRIND-Lab-Core (a GitHub organization) maintains it in GRIND-Lab-Core/night_owl_research_agent, which has 106 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on May 6, 2026.
Source: GRIND-Lab-Core/night_owl_research_agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.