llm-pipeline-analysis SKILL.md skillA
llm-pipeline-analysis 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-pipeline-analysis@git:20261005.aa3fee7Pins git:20261005.aa3fee7 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- bbuf/ai-infra-auto-driven-skills
- Path
skills/llm-pipeline-analysis/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261005.aa3fee7, committed Oct 5, 2026
- First version recorded
- May 26, 2026
- Size
- 15,501 bytes
- Repository stars
- 1,120
- License
- none declared
Inspect LLM torch profiler traces at forward-pass, layer, and kernel level. Use when you need layer timings, anchor-kernel boundaries, representative kernel flows, or Perfetto time ranges.
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 Pipeline Analysis ## Overview Use this when a whole-trace profiler summary is too coarse. The scripts read a Chrome-trace JSON file, find layer-boundary anchor kernels, group kernels into forward passes and layers, and print timing tables you can use for Perfetto navigation or detailed timing analysis. ## When To Use It - when you need to know **which layers** contribute most - when the model has alternating layer types (e.g. models with `compress_ratios` like DeepSeek-V4 NSA, or hybrid GDN/GQA stacks such as Qwen3.8-27B) - when you need to compare cold-start vs steady-state forward passes - when you need to navigate to a specific layer in Perfetto UI - when you need to select representative layers for deep-dive analysis ## Verify inputs from artifacts Resolve model config, phase, rank/device and TP/EP/DP from the run manifest, server arguments and trace. Ask only for missing information that changes the analysis. `TP-0` identifies a rank, not TP world size; do not default an unknown run to TP8/EP8 or decode BS1. Speculative request BS and target-verify M differ. If no config is available, use an explicit profile and verified layer count. ## Model Profiles …
Read the whole file at its exact version.
How to install
mdr add bbuf/ai-infra-auto-driven-skills/llm-pipeline-analysis@sha256:94ac068c3ddf7cf2The 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_g726lpfhopwnav4e)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between May 26, 2026 and Oct 5, 2026, about one every 33 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261005.aa3fee7 latest | 2026-10-05 | aa3fee7 | 15,501 B | A | view · diff |
| git:20260918.b4657a2 | 2026-09-18 | b4657a2 | 12,643 B | A | view · diff |
| git:20260823.c7b7857 | 2026-08-23 | c7b7857 | 12,649 B | A | view · diff |
| git:20260728.98fd73c | 2026-07-28 | 98fd73c | 12,601 B | A | view · diff |
| git:20260526.dcb7838 | 2026-05-26 | dcb7838 | 12,075 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15501 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 link to a raw IP address
- pass: No script tag
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_g726lpfhopwnav4e GET https://markdownregistry.com/api/v1/resolve?ref=bbuf/ai-infra-auto-driven-skills/llm-pipeline-analysis GET https://markdownregistry.com/api/v1/blob/94ac068c3ddf7cf2ce5d2cc21e81e5bf4f8b8d066650ab0dcb9a54b0334efbec
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.