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.
Requirements for the SGLang scripted runtime, chiefly when to add (vs not add) a harness API.
$ npx skills add sgl-project/sglang --skill scripted-runtime-notes -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sgl-project/sglang scripted-runtime-notes --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/scripted-runtime-notes .claude/skills/scripted-runtime-notes && 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 "scripted-runtime-notes" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/scripted-runtime-notes into .claude/skills/scripted-runtime-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scripted-runtime-notes", 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/scripted-runtime-notesType 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 scripted-runtime-notes -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sgl-project/sglang scripted-runtime-notes --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/scripted-runtime-notes .agents/skills/scripted-runtime-notes && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "scripted-runtime-notes" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/scripted-runtime-notes into .agents/skills/scripted-runtime-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scripted-runtime-notes", 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 scripted-runtime-notes -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sgl-project/sglang scripted-runtime-notes --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/scripted-runtime-notes .cursor/skills/scripted-runtime-notes && 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 "scripted-runtime-notes" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/scripted-runtime-notes into .cursor/skills/scripted-runtime-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scripted-runtime-notes", 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/scripted-runtime-notes--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 scripted-runtime-notes -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sgl-project/sglang scripted-runtime-notes --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/scripted-runtime-notes .gemini/skills/scripted-runtime-notes && 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 "scripted-runtime-notes" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/scripted-runtime-notes into .gemini/skills/scripted-runtime-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scripted-runtime-notes", 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 scripted-runtime-notesInstalls 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 scripted-runtime-notes -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/scripted-runtime-notes .github/skills/scripted-runtime-notes && 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 "scripted-runtime-notes" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/scripted-runtime-notes into .github/skills/scripted-runtime-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scripted-runtime-notes", 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 scripted-runtime-notes -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 scripted-runtime-notes --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/scripted-runtime-notes .opencode/skills/scripted-runtime-notes && 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 "scripted-runtime-notes" agent skill from https://github.com/sgl-project/sglang/tree/main/.agents/skills/scripted-runtime-notes into .opencode/skills/scripted-runtime-notes/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scripted-runtime-notes", 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.
scripted-runtime-notesRequirements for the SGLang scripted runtime, chiefly when to add (vs not add) a harness API.
Scripted Runtime Notes is an agent skill from sgl-project/sglang. Requirements for the SGLang scripted runtime, chiefly when to add (vs not add) a harness API. Use for anything related to the scripted runtime.
Its SKILL.md is about 450 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 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1c42ad3. 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.
Scripted Runtime Notes loads about 448 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 204 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 1c42ad3, republished under its Apache-2.0 licence (© sgl-project). 204 words, ~448 tokens.
.claude/skills/scripted-runtime-notes/SKILL.md (or your agent's skills folder).Notes for anything related to the SGLang scripted runtime.
Tests read r.req.* and t._scheduler.* directly — there is no encapsulation boundary. A thin wrapper buys zero isolation; it only grows the surface.
Add an API only if it does real work:
start_req, pause_generation, abort, evict_radix, exhaust_kv). Reuse the real path; never hand-mutate state.scheduler_hook.on_run_batch or the recv proxy (chunks_done). Read-only; never monkey-patch; never add *_count to srt/.chunked_req + waiting_queue + running_batch + last_batch (is_idle, status, batch_composition).Else: don't. Read r.req.X / t._scheduler.X in the test; inline single-use accessors.
Never:
scheduler._abort_on_waiting_timeout()) from the harness/test — it runs at the wrong loop phase, bypasses the ordered recv_requests → process_input_requests injection, and can fire in states the real loop never reaches (e.g. while paused). For sweeps the engine runs itself (timeout/idle), enable the config/env and advance the loop with yield.© 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
Just SKILL.md in .agents/skills/scripted-runtime-notes of sgl-project/sglang.
Open the folder on GitHubat commit 1c42ad3
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in sgl-project/sglang, which our catalogue first saw on October 7, 2026.
Scripted Runtime Notes 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 |
|---|---|---|---|---|---|---|
| Scripted Runtime Notes this skillsgl-project/sglang | 37k | 2 repos | ~448 | 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
Requirements for the SGLang scripted runtime, chiefly when to add (vs not add) a harness API. Scripted Runtime Notes is an agent skill from sgl-project/sglang. Requirements for the SGLang scripted runtime, chiefly when to add (vs not add) a harness API.
Scripted Runtime Notes fits situations like: anything related to the scripted runtime.
Run `npx skills add sgl-project/sglang --skill scripted-runtime-notes -a claude-code`. Or copy the skill folder (.agents/skills/scripted-runtime-notes in sgl-project/sglang) into .claude/skills/scripted-runtime-notes in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sgl-project/sglang --skill scripted-runtime-notes -a codex`. Or copy the skill folder (.agents/skills/scripted-runtime-notes in sgl-project/sglang) into .agents/skills/scripted-runtime-notes 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 scripted-runtime-notes -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scripted-runtime-notes, .gemini/skills/scripted-runtime-notes, .github/skills/scripted-runtime-notes and .opencode/skills/scripted-runtime-notes in your project.
SKILL.md names no scripts, command-line tools or credentials: Scripted Runtime Notes 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.
Scripted Runtime Notes 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 448 tokens (SKILL.md is roughly 1.8k 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 Scripted Runtime Notes: 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 36,829 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 7, 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.