SageMaker Serving Image Selection
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
Audit the existing test tree and CI configuration for improvements, using a catalog of patterns previously applied in this repo.
$ npx skills add sgl-project/sglang --skill ci-test-audit -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sgl-project/sglang ci-test-audit --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/sgl-project/sglang.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/ci-test-audit .claude/skills/ci-test-audit && 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 "ci-test-audit" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/ci-test-audit into .claude/skills/ci-test-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ci-test-audit", 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/sgl-project/sglang/tree/main/.agents/skills/ci-test-auditType 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 sgl-project/sglang --skill ci-test-audit -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sgl-project/sglang ci-test-audit --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/ci-test-audit .agents/skills/ci-test-audit && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ci-test-audit" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/ci-test-audit into .agents/skills/ci-test-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ci-test-audit", 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 sgl-project/sglang --skill ci-test-audit -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sgl-project/sglang ci-test-audit --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/ci-test-audit .cursor/skills/ci-test-audit && 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 "ci-test-audit" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/ci-test-audit into .cursor/skills/ci-test-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ci-test-audit", 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/sgl-project/sglang.git --path .agents/skills/ci-test-audit--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 sgl-project/sglang --skill ci-test-audit -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sgl-project/sglang ci-test-audit --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/ci-test-audit .gemini/skills/ci-test-audit && 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 "ci-test-audit" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/ci-test-audit into .gemini/skills/ci-test-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ci-test-audit", 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 sgl-project/sglang ci-test-auditInstalls 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 sgl-project/sglang --skill ci-test-audit -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/ci-test-audit .github/skills/ci-test-audit && 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 "ci-test-audit" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/ci-test-audit into .github/skills/ci-test-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ci-test-audit", 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 sgl-project/sglang --skill ci-test-audit -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sgl-project/sglang ci-test-audit --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sgl-project/sglang.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/ci-test-audit .opencode/skills/ci-test-audit && 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 "ci-test-audit" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/ci-test-audit into .opencode/skills/ci-test-audit/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ci-test-audit", 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.
ci-test-auditAudit the existing test tree and CI configuration for improvements, using a catalog of patterns previously applied in this repo.
CI Test Audit is an agent skill from sgl-project/sglang. Audit the existing test tree and CI configuration for improvements, using a catalog of patterns previously applied in this repo. Use when asked to audit tests or CI, shrink CI time or cost, find redundant or misplaced tests, clean up a test group, or review whether a CI change follows established practice.
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `action-items.md`).
It sits in AI & LLM Engineering. It works with SGLang. The repository describes itself as: SGLang is a high-performance serving framework for large language models and multimodal models. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit b7b2975. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
CI Test Audit loads about 520 tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 277 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.
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.
The full file from sgl-project/sglang at commit b7b2975, republished under its Apache-2.0 licence (© sgl-project). 277 words, ~520 tokens.
.claude/skills/ci-test-audit/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.Audits what is already in test/, .github/ and scripts/ci/. For writing a new test see
write-sglang-test; for how the pipeline dispatches and
gates work see ci-workflow-guide.
Read action-items.md first. It is a catalog of patterns that have been applied to this repo, each with a way to spot it and example PRs. The catalog is the substance of this skill; everything below is only scaffolding.
The user says what to audit -- a test group, a stage, a workflow file, or a complaint like "this suite is slow" -- and how thoroughly. Read that scope and decide which patterns apply.
An audit is only useful if it is specific. "This suite could be trimmed" is not a
finding; "TestFooLargePage is a strict subset of TestFooRetractLargePage, drop it"
is. Every finding needs the file, the pattern it matches, and what to do.
Group findings by confidence in the claim, not by pattern id. Lead with the ones where the evidence is in the file you just read; keep the speculative ones separate and say what you would need to check. Skip anything you are not reasonably sure about -- a long list of maybes costs more to triage than it saves.
Propose, do not apply. Deleting a test, moving a registration to another stage, and changing a threshold are all decisions for the user. Land them as separate changes, since a trim and a threshold change fail for different reasons.
Example PRs age. When a pattern shows up in newer work, or a new pattern recurs, update
action-items.md: the pattern text should stay general, the examples are
replaceable evidence.
© sgl-project, 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
SKILL.md and 1 other file in .agents/skills/ci-test-audit of sgl-project/sglang.
Open the folder on GitHubat commit b7b2975
CI Test Audit 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 |
|---|---|---|---|---|---|---|
| CI Test Audit this skillsgl-project/sglang | 37k | — | ~520 | Automated safety check: Pass | Apache-2.0 | |
| SageMaker Serving Image Selectionhuggingface/skills | 11k | 1 repos | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Clean Startup Logguqiong96/Lsglang | 143 | 1 repos | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Gptqmodel Tokenizer NormalizationModelCloud/GPTQModel | 1.3k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| slime RL Post-TrainingOrchestra-Research/AI-Research-SKILLs | 13k | 5 repos | ~2.8k | Automated safety check: Pass | MIT | |
| SGLang Structured ServingOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~2.9k | Automated safety check: Pass | MIT |
huggingface/skills
Chooses the right serving container and current image URI for deploying a Hugging Face model to a SageMaker endpoint, preferring Hugging Face images over generic ones.
guqiong96/Lsglang
Clean up noisy startup warnings and spurious prints in SGLang server logs.
ModelCloud/GPTQModel
Diagnose and correct GPT-QModel tokenizer initialization, tokenization normalization, special-token handling, prompt rendering, and chat-template problems.
Orchestra-Research/AI-Research-SKILLs
Guides reinforcement-learning post-training of LLMs with slime, which pairs Megatron-LM training with SGLang rollouts, including GRPO runs on GLM, Qwen3 and Llama 3 models.
Orchestra-Research/AI-Research-SKILLs
Covers serving LLMs with SGLang, whose RadixAttention reuses cached prefixes, and constraining output to JSON, regex or grammar for agent and tool-calling workloads.
Orchestra-Research/AI-Research-SKILLs
Trains LLMs with reinforcement learning using verl, from ByteDance's Seed team, with GRPO, PPO and other algorithms and swappable training and rollout backends.
sgl-project/sglang
Replay-first debug flow for SGLang serving problems. An agent skill from sgl-project/sglang.
sgl-project/sglang
Unified LLM torch-profiler triage skill for sglang, vllm, TensorRT-LLM, and TokenSpeed.
sgl-project/sglang
Start and persistently pursue a goal to babysit an SGLang pull request until selected GitHub Actions workflows pass on the latest PR head.
sgl-project/sglang
Compute the optimal --mamba-full-memory-ratio (or --max-mamba-cache-size pin) for a hybrid attention + linear-attention (Mamba / GDN / KDA) model's two serving memory pools, from the workload and…
sgl-project/sglang
Debug hanging issues in SGLang distributed inference (TP/PP/DP/EP).
sgl-project/sglang
Conventions for SGLang environment variables — where to define, how to access, how to name, and how to deprecate.
Works with
Categories
Audit the existing test tree and CI configuration for improvements, using a catalog of patterns previously applied in this repo. CI Test Audit is an agent skill from sgl-project/sglang. Audit the existing test tree and CI configuration for improvements, using a catalog of patterns previously applied in this repo.
CI Test Audit fits situations like: asked to audit tests; misplaced tests; clean up a test group; review whether a CI change follows established practice.
Run `npx skills add sgl-project/sglang --skill ci-test-audit -a claude-code`. Or copy the skill folder (.agents/skills/ci-test-audit in sgl-project/sglang) into .claude/skills/ci-test-audit in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sgl-project/sglang --skill ci-test-audit -a codex`. Or copy the skill folder (.agents/skills/ci-test-audit in sgl-project/sglang) into .agents/skills/ci-test-audit in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sgl-project/sglang --skill ci-test-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ci-test-audit, .gemini/skills/ci-test-audit, .github/skills/ci-test-audit and .opencode/skills/ci-test-audit in your project.
SKILL.md names no scripts, command-line tools or credentials: CI Test Audit is instructions for the agent only.
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.
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.
CI Test Audit 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.
About 520 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with CI Test Audit: SageMaker Serving Image Selection (huggingface/skills, 11k stars), Clean Startup Log (guqiong96/Lsglang, 143 stars), Gptqmodel Tokenizer Normalization (ModelCloud/GPTQModel, 1.3k stars) and slime RL Post-Training (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.
sgl-project (a GitHub organization) maintains it in sgl-project/sglang, which has 36,851 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 8, 2026.
Source: sgl-project/sglang on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.