LLM Torch Profiler Analysis
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
A skill your agent uses when working with Harbor's harbor exec CLI workflow: compiling files, directories, or globs into Harbor tasks; running map jobs; configuring artifacts and existence-only…
Install Harbor Exec
$ npx skills add Arize-ai/phoenix --skill harbor-exec -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Arize-ai/phoenix harbor-exec --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/Arize-ai/phoenix.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/harbor-exec .claude/skills/harbor-exec && 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 "harbor-exec" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/harbor-exec into .claude/skills/harbor-exec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harbor-exec", 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/Arize-ai/phoenix/tree/main/.agents/skills/harbor-execType 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 Arize-ai/phoenix --skill harbor-exec -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Arize-ai/phoenix harbor-exec --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/harbor-exec .agents/skills/harbor-exec && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "harbor-exec" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/harbor-exec into .agents/skills/harbor-exec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harbor-exec", 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 Arize-ai/phoenix --skill harbor-exec -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Arize-ai/phoenix harbor-exec --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/harbor-exec .cursor/skills/harbor-exec && 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 "harbor-exec" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/harbor-exec into .cursor/skills/harbor-exec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harbor-exec", 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/Arize-ai/phoenix.git --path .agents/skills/harbor-exec--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 Arize-ai/phoenix --skill harbor-exec -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Arize-ai/phoenix harbor-exec --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/harbor-exec .gemini/skills/harbor-exec && 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 "harbor-exec" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/harbor-exec into .gemini/skills/harbor-exec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harbor-exec", 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 Arize-ai/phoenix harbor-execInstalls 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 Arize-ai/phoenix --skill harbor-exec -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/harbor-exec .github/skills/harbor-exec && 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 "harbor-exec" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/harbor-exec into .github/skills/harbor-exec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harbor-exec", 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 Arize-ai/phoenix --skill harbor-exec -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Arize-ai/phoenix harbor-exec --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Arize-ai/phoenix.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/harbor-exec .opencode/skills/harbor-exec && 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 "harbor-exec" agent skill from https://github.com/Arize-ai/phoenix/tree/main/.agents/skills/harbor-exec into .opencode/skills/harbor-exec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "harbor-exec", 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
harbor-exec- GitHub stars
- 12k
- Token cost
- ~909 tokens
- SKILL.md length
- 433 words
- Files
- 2 (incl. references)
- Skills in repo
- 39
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when working with Harbor's harbor exec CLI workflow: compiling files, directories, or globs into Harbor tasks; running map jobs; configuring artifacts and existence-only…
- Working with Harbors harbor exec CLI workflow: compiling files
- SKILL.md covers Overview, First Checks, Run Parameter Questions and Usage Workflow, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Globs into Harbor tasks
What it does
Harbor Exec is an agent skill from Arize-ai/phoenix. Use when working with Harbor's harbor exec CLI workflow: compiling files, directories, or globs into Harbor tasks; running map jobs; configuring artifacts and existence-only verification; using map-reduce; writing or reviewing ExecConfig YAML/JSON/TOML; or debugging command behavior, config validation, and job outputs.
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/examples.md`).
It sits in Development. The repository describes itself as: AI Observability & Evaluation.
When your agent uses it
- Working with Harbors harbor exec CLI workflow: compiling files
- Globs into Harbor tasks
- Running map jobs
- Configuring artifacts and existence-only verification
Example prompts
- “/harbor-exec”
Requirements
- Docker
What it can do on your machine
Read from SKILL.md and the folder at commit 856100b. 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 bash).
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
Harbor Exec loads about 909 tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 433 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 433 words (~909 tokens).
“Use this skill to operate Harbor's harbor exec command. Treat harbor exec as agentic map-reduce: it turns loose inputs into Harbor tasks, runs Harbor jobs over those tasks, and optionally aggregates the results.”
- name
- harbor-exec
Files
SKILL.md and 1 other file (references) in .agents/skills/harbor-exec of Arize-ai/phoenix.
- SKILL.md
- references/examples.md
Open the folder on GitHubat commit 856100b
Compare with similar skills
Harbor Exec 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 |
|---|---|---|---|---|---|---|
| Harbor Exec this skillArize-ai/phoenix | 12k | — | ~909 | Automated safety check: Pass | Custom licence | |
| LLM Torch Profiler Analysissgl-project/sglang | 37k | 2 repos | ~6.4k | Automated safety check: Pass | Apache-2.0 | |
| Get API Docs with chubandrewyng/context-hub | 14k | 2 repos | ~775 | Automated safety check: Pass | MIT | |
| Aoti Debugpytorch/pytorch | 104k | 1 repos | ~1.7k | Automated safety check: Pass | Custom licence | |
| Debug Distributed Hangsgl-project/sglang | 37k | 2 repos | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Adk Sample Creatorgoogle/adk-python | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Get API Docs with chub
andrewyng/context-hub
Fetches current documentation for third-party APIs and SDKs with the chub CLI before the agent writes code against them, instead of relying on remembered API shapes.
Aoti Debug
pytorch/pytorch
Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch.
Debug Distributed Hang
sgl-project/sglang
Debug hanging issues in SGLang distributed inference (TP/PP/DP/EP).
- Official
Adk Sample Creator
google/adk-python
Creates a new sample agent in the ADK Python repository — the sample directory, its agent.py, and its README.md — following the conventions the existing samples already use.
DeepChat Provider Integration
ThinkInAIXYZ/deepchat
Guides adding an LLM provider to DeepChat through explicit source changes: collect the provider details, pick a transport path and add registry entries and tests.
More from Arize-ai/phoenix
All 39 skills in this repoMintlify
Arize-ai/phoenix
Build and maintain documentation sites with Mintlify. An agent skill from Arize-ai/phoenix.
Phoenix Frontend
Arize-ai/phoenix
Frontend development guidelines for the Phoenix AI observability platform.
Phoenix Graphql
Arize-ai/phoenix
Write efficient GraphQL queries against the Phoenix API. An agent skill from Arize-ai/phoenix.
Phoenix Server
Arize-ai/phoenix
Backend development guide for the Phoenix AI observability platform (Strawberry GraphQL, SQLAlchemy async, FastAPI).
Phoenix Storybook
Arize-ai/phoenix
Conventions for creating, modifying, and reviewing production-faithful Storybook stories in the Phoenix frontend (js/app/stories, js/app/.storybook).
Phoenix GitHub
Arize-ai/phoenix
Manage GitHub issues, labels, project boards, sprint operations, and roadmap health for the Arize-ai/phoenix repository.
Related
Categories
Questions about Harbor Exec
What does Harbor Exec do?
A skill your agent uses when working with Harbor's harbor exec CLI workflow: compiling files, directories, or globs into Harbor tasks; running map jobs; configuring artifacts and existence-only…. Harbor Exec is an agent skill from Arize-ai/phoenix. Use when working with Harbor's harbor exec CLI workflow: compiling files, directories, or globs into Harbor tasks; running map jobs; configuring artifacts and existence-only verification; using map-reduce; writing or reviewing ExecConfig YAML/JSON/TOML; or debugging command behavior, config validation, and job outputs.
When should I use Harbor Exec?
Harbor Exec fits situations like: working with Harbors harbor exec CLI workflow: compiling files; globs into Harbor tasks; running map jobs; configuring artifacts and existence-only verification.
How do I install Harbor Exec in Claude Code?
Run `npx skills add Arize-ai/phoenix --skill harbor-exec -a claude-code`. Or copy the skill folder (.agents/skills/harbor-exec in Arize-ai/phoenix) into .claude/skills/harbor-exec in your project. Claude Code loads it when a task matches its description.
How do I install Harbor Exec in Codex?
Run `npx skills add Arize-ai/phoenix --skill harbor-exec -a codex`. Or copy the skill folder (.agents/skills/harbor-exec in Arize-ai/phoenix) into .agents/skills/harbor-exec in your project. Codex loads it when a task matches its description.
Can I use Harbor Exec 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 Arize-ai/phoenix --skill harbor-exec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/harbor-exec, .gemini/skills/harbor-exec, .github/skills/harbor-exec and .opencode/skills/harbor-exec in your project.
What does Harbor Exec need to run?
SKILL.md names no scripts, command-line tools or credentials: Harbor Exec is instructions for the agent only. Our summary lists: Docker.
Does Harbor Exec 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 Harbor Exec 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 Harbor Exec use?
Harbor Exec has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Harbor Exec use?
About 909 tokens (SKILL.md is roughly 3.6k 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 1.1k tokens, read only when the agent opens those files.
What are the alternatives to Harbor Exec?
Skills that share tags, products or a category with Harbor Exec: LLM Torch Profiler Analysis (sgl-project/sglang, 37k stars), Get API Docs with chub (andrewyng/context-hub, 14k stars), Aoti Debug (pytorch/pytorch, 104k stars) and Debug Distributed Hang (sgl-project/sglang, 37k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Harbor Exec?
Arize-ai (a GitHub organization) maintains it in Arize-ai/phoenix, which has 11,744 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 8, 2026.
Source: Arize-ai/phoenix on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.