Hugging Face Spaces Deploy
Vincentqyw/image-matching-webui
Releases a new imcui version on GitHub, then deploys it to a test and a production Hugging Face Space from a dedicated huggingface branch.
A skill your agent uses when instrumenting or inspecting TRL training runs with Trackio, run names, metric schemas, dashboards, logs, grep or ripgrep, SFTP, Hugging Face Job logs, remote artifacts…
Install Trackio Observability
$ npx skills add burtenshaw/training-agents --skill trackio-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install burtenshaw/training-agents trackio-observability --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/burtenshaw/training-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/trackio-observability .claude/skills/trackio-observability && 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 "trackio-observability" agent skill from https://github.com/burtenshaw/training-agents/tree/main/.agents/skills/trackio-observability into .claude/skills/trackio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trackio-observability", 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/burtenshaw/training-agents/tree/main/.agents/skills/trackio-observabilityType 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 burtenshaw/training-agents --skill trackio-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install burtenshaw/training-agents trackio-observability --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/burtenshaw/training-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/trackio-observability .agents/skills/trackio-observability && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "trackio-observability" agent skill from https://github.com/burtenshaw/training-agents/tree/main/.agents/skills/trackio-observability into .agents/skills/trackio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trackio-observability", 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 burtenshaw/training-agents --skill trackio-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install burtenshaw/training-agents trackio-observability --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/burtenshaw/training-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/trackio-observability .cursor/skills/trackio-observability && 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 "trackio-observability" agent skill from https://github.com/burtenshaw/training-agents/tree/main/.agents/skills/trackio-observability into .cursor/skills/trackio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trackio-observability", 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/burtenshaw/training-agents.git --path .agents/skills/trackio-observability--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 burtenshaw/training-agents --skill trackio-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install burtenshaw/training-agents trackio-observability --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/burtenshaw/training-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/trackio-observability .gemini/skills/trackio-observability && 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 "trackio-observability" agent skill from https://github.com/burtenshaw/training-agents/tree/main/.agents/skills/trackio-observability into .gemini/skills/trackio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trackio-observability", 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 burtenshaw/training-agents trackio-observabilityInstalls 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 burtenshaw/training-agents --skill trackio-observability -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/burtenshaw/training-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/trackio-observability .github/skills/trackio-observability && 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 "trackio-observability" agent skill from https://github.com/burtenshaw/training-agents/tree/main/.agents/skills/trackio-observability into .github/skills/trackio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trackio-observability", 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 burtenshaw/training-agents --skill trackio-observability -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install burtenshaw/training-agents trackio-observability --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/burtenshaw/training-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/trackio-observability .opencode/skills/trackio-observability && 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 "trackio-observability" agent skill from https://github.com/burtenshaw/training-agents/tree/main/.agents/skills/trackio-observability into .opencode/skills/trackio-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "trackio-observability", 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
trackio-observability- GitHub stars
- 153
- Token cost
- ~351 tokens
- SKILL.md length
- 152 words
- Files
- 4 (incl. references)
- Skills in repo
- 6
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when instrumenting or inspecting TRL training runs with Trackio, run names, metric schemas, dashboards, logs, grep or ripgrep, SFTP, Hugging Face Job logs, remote artifacts…
- Works in 5 steps: Define the run identity: project, run… → Add Trackio. For any remote Hugging Face… → Make logs grep-friendly with clear phase… → …
- Inspecting TRL training runs with Trackio
- SKILL.md covers Workflow, Reporting Shape and References
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Trackio Observability is an agent skill from burtenshaw/training-agents. Use when instrumenting or inspecting TRL training runs with Trackio, run names, metric schemas, dashboards, logs, grep or ripgrep, SFTP, Hugging Face Job logs, remote artifacts, or experiment result summaries.
Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/log-inspection.md` and `references/tracking-schema.md`).
It sits in DevOps & Cloud, covering Observability and Model hubs and datasets. It works with Hugging Face. The repository describes itself as: A repo on resources for training agents. The licence is Apache-2.0.
When your agent uses it
- Inspecting TRL training runs with Trackio
- Hugging Face Job logs
- Remote artifacts
- Experiment result summaries
Example prompts
- “/trackio-observability”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Define the run identity: project, run name, method, model, dataset, seed, and
- Add Trackio. For any remote Hugging Face Job, initialize a hosted dashboard
- Make logs grep-friendly with clear phase markers.
- Persist artifacts intentionally: model, adapter, config, metrics, traces, and
- Inspect remote state with the narrowest tool: Trackio dashboard, HF CLI,
What it can do on your machine
Read from SKILL.md and the folder at commit ec7cc54. 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.
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
Trackio Observability loads about 351 tokens when it runs, and up to ~686 if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 152 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 burtenshaw/training-agents at commit ec7cc54, republished under its Apache-2.0 licence (© burtenshaw). 152 words, ~351 tokens.
Download SKILL.mdSave it as
.claude/skills/trackio-observability/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- trackio-observability
- description
- Use when instrumenting or inspecting TRL training runs with Trackio, run names, metric schemas, dashboards, logs, grep or ripgrep, SFTP, Hugging Face Job logs, remote artifacts, or experiment result summaries.
Trackio Observability
Use this skill to make training runs observable and debuggable.
Workflow
- Define the run identity: project, run name, method, model, dataset, seed, and challenge.
- Add Trackio. For any remote Hugging Face Job, initialize a hosted dashboard
with
trackio.init(..., space_id="owner/space"); only short local smoke tests may stay local or skip tracking with an explicit reason. - Make logs grep-friendly with clear phase markers.
- Persist artifacts intentionally: model, adapter, config, metrics, traces, and evaluation outputs.
- Inspect remote state with the narrowest tool: Trackio dashboard, HF CLI,
rg, or SFTP when configured.
Reporting Shape
Return:
- run id or job id
- Trackio dashboard or Space
- command or script inspected
- latest metrics
- artifact paths
- failure signatures
- next minimal action
Never print tokens, secrets, private credentials, or full logs unless the user explicitly asks for a raw excerpt.
References
references/tracking-schema.md: run metadata and metric schema.references/log-inspection.md: grep, SFTP, and remote artifact triage.
© burtenshaw, 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 3 other files (references) in .agents/skills/trackio-observability of burtenshaw/training-agents.
- SKILL.md
- agents/openai.yaml
- references/log-inspection.md
- references/tracking-schema.md
Open the folder on GitHubat commit ec7cc54
Compare with similar skills
Trackio Observability 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 |
|---|---|---|---|---|---|---|
| Trackio Observability this skillburtenshaw/training-agents | 153 | — | ~351 | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face Spaces DeployVincentqyw/image-matching-webui | 1.3k | — | ~721 | Automated safety check: Pass | Apache-2.0 | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Configure G1 Sim2realEGalahad/sim2real | 146 | — | ~1.5k | Automated safety check: Pass | None | |
| Generate Openenv Envadithya-s-k/FineEnvs | 461 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Hugging Face ZeroGPUhuggingface/skills | 11k | 2 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 |
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Configure G1 Sim2real
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Install, repair, and verify sim2real on G1 robot computers. An agent skill from EGalahad/sim2real.
Generate Openenv Env
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- Official
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Works with
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Questions about Trackio Observability
What does Trackio Observability do?
A skill your agent uses when instrumenting or inspecting TRL training runs with Trackio, run names, metric schemas, dashboards, logs, grep or ripgrep, SFTP, Hugging Face Job logs, remote artifacts…. Trackio Observability is an agent skill from burtenshaw/training-agents. Use when instrumenting or inspecting TRL training runs with Trackio, run names, metric schemas, dashboards, logs, grep or ripgrep, SFTP, Hugging Face Job logs, remote artifacts, or experiment result summaries.
When should I use Trackio Observability?
Trackio Observability fits situations like: inspecting TRL training runs with Trackio; hugging Face Job logs; remote artifacts; experiment result summaries.
How do I install Trackio Observability in Claude Code?
Run `npx skills add burtenshaw/training-agents --skill trackio-observability -a claude-code`. Or copy the skill folder (.agents/skills/trackio-observability in burtenshaw/training-agents) into .claude/skills/trackio-observability in your project. Claude Code loads it when a task matches its description.
How do I install Trackio Observability in Codex?
Run `npx skills add burtenshaw/training-agents --skill trackio-observability -a codex`. Or copy the skill folder (.agents/skills/trackio-observability in burtenshaw/training-agents) into .agents/skills/trackio-observability in your project. Codex loads it when a task matches its description.
Can I use Trackio Observability 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 burtenshaw/training-agents --skill trackio-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trackio-observability, .gemini/skills/trackio-observability, .github/skills/trackio-observability and .opencode/skills/trackio-observability in your project.
What does Trackio Observability need to run?
SKILL.md names no scripts, command-line tools or credentials: Trackio Observability is instructions for the agent only.
Does Trackio Observability 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 Trackio Observability 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 Trackio Observability use?
Trackio Observability 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 Trackio Observability use?
About 351 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 335 tokens, read only when the agent opens those files.
What are the alternatives to Trackio Observability?
Skills that share tags, products or a category with Trackio Observability: Hugging Face Spaces Deploy (Vincentqyw/image-matching-webui, 1.3k stars), SageMaker Serving Image Selection (huggingface/skills, 11k stars), Configure G1 Sim2real (EGalahad/sim2real, 146 stars) and Generate Openenv Env (adithya-s-k/FineEnvs, 461 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Trackio Observability?
burtenshaw (a GitHub user) maintains it in burtenshaw/training-agents, which has 153 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on September 13, 2026.
Source: burtenshaw/training-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.