llm-serving-auto-benchmark SKILL.md skillB
llm-serving-auto-benchmark from bbuf/ai-infra-auto-driven-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add bbuf/ai-infra-auto-driven-skills/llm-serving-auto-benchmark@git:20261005.aa3fee7Pins git:20261005.aa3fee7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- bbuf/ai-infra-auto-driven-skills
- Path
skills/llm-serving-auto-benchmark/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261005.aa3fee7, committed Oct 5, 2026
- First version recorded
- Jun 27, 2026
- Size
- 30,131 bytes
- Repository stars
- 1,120
- License
- none declared
Framework-independent LLM serving benchmark skill for comparing SGLang, vLLM, TensorRT-LLM, TokenSpeed, or another serving framework. Use when a user wants to find the best deployment command for one model across multiple serving frameworks under the same workload, GPU budget, and latency SLA.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LLM Serving Auto Benchmark ## Overview Use this skill to compare LLM serving frameworks such as SGLang, vLLM, TensorRT-LLM, and TokenSpeed for the same model and workload. Use a config-driven workflow: - keep launch-only capacity choices in each framework's `base_server_flags` - put the search knobs in `search_space` - run the same dataset scenarios for every framework - generate a bounded candidate list from `search_space`, with the baseline candidate included first - keep failed candidates in the result file - pick the best SLA-passing candidate after normalizing the results For model-specific starting points, prefer the shipped configs in `configs/cookbook-llm/`. They define a framework-neutral LLM serving cookbook model set and translate each entry into framework-native SGLang, vLLM, and TensorRT-LLM, and TokenSpeed server flags. Validate those configs before a real run: ```bash python skills/llm-serving-auto-benchmark/scripts/validate_cookbook_configs.py \ skills/llm-serving-auto-benchmark/configs/cookbook-llm/*.yaml ``` If you have captured target-environment `--help` files, add `--help-dir <artifact-help-dir>`. That check only loads configs, verifies the …
Read the whole file at its exact version.
How to install
mdr add bbuf/ai-infra-auto-driven-skills/llm-serving-auto-benchmark@sha256:7ab826ced579c1c8The line at the top of this page pins the label git:20261005.aa3fee7, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_eg6vr24sftznw32p)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 27, 2026 and Oct 5, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261005.aa3fee7 latest | 2026-10-05 | aa3fee7 | 30,131 B | B | view · diff |
| git:20260918.b4657a2 | 2026-09-18 | b4657a2 | 26,505 B | B | view · diff |
| git:20260823.c7b7857 | 2026-08-23 | c7b7857 | 33,817 B | B | view · diff |
| git:20260728.98fd73c | 2026-07-28 | 98fd73c | 30,628 B | B | view · diff |
| git:20260627.7ebf671 | 2026-06-27 | 7ebf671 | 29,701 B | B | view |
Audit of the latest version
- fail: No link to a raw IP address (matched: http://127.0.0.1:8000)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (30131 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
bbuf/ai-infra-auto-driven-skills · 1,120 stars · license none declared · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_eg6vr24sftznw32p GET https://markdownregistry.com/api/v1/resolve?ref=bbuf/ai-infra-auto-driven-skills/llm-serving-auto-benchmark GET https://markdownregistry.com/api/v1/blob/7ab826ced579c1c8937d32d4f64c095e7af5bd3cba4d2ae5cee2298eeedbffc5
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.