llm-torch-profiler-analysis SKILL.md skillB
llm-torch-profiler-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-torch-profiler-analysis@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-torch-profiler-analysis/SKILL.md- Versions recorded
- 5
- Latest version
- git:20261005.aa3fee7, committed Oct 5, 2026
- First version recorded
- Aug 23, 2026
- Size
- 11,309 bytes
- Repository stars
- 1,120
- License
- none declared
Analyze existing Torch Profiler Chrome traces or capture from SGLang, vLLM, TensorRT-LLM and TokenSpeed servers. Return kernel attribution, overlap opportunities and fusion patterns; use for model dispatch, CUDA Graph gaps, stream contention or exposed kernel tails. Includes existing SGLang Omni traces.
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 Torch Profiler Analysis Produce three tables: kernel/source attribution, overlap opportunities, and fusion patterns. Start from the user's trace or running server. Inspect the actual model, framework revision, phase, device/rank and parallelism before choosing a fast path. Existing traces need no GPU or framework installation. The Python analyzers use the standard library. Read [source contracts](../../docs/upstream-source-contracts.md) for dated source inspections and version-sensitive profiler APIs. Apply the general [dispatch and numerical principles](references/heuristics.md#establish-dispatch-and-numerical-contracts) to every model. The [fusion catalog](references/fuse-overlap-catalog.md) contains concrete operator families, eligibility examples and storage contracts; the [overlap catalog](references/overlap-catalog.md) covers scheduling. Consult the model-history knowledge base when detailed PR evidence is needed. Source checks and historical captures are not fresh GPU validation. ## Choose the evidence | Mode | Evidence and limits | |---|---| …
Read the whole file at its exact version.
How to install
mdr add bbuf/ai-infra-auto-driven-skills/llm-torch-profiler-analysis@sha256:f37c29770671b5abThe 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_dhlmcos4efyzkgbl)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Aug 23, 2026 and Oct 5, 2026, about one every 11 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261005.aa3fee7 latest | 2026-10-05 | aa3fee7 | 11,309 B | B | view · diff |
| git:20260922.475af5a | 2026-09-22 | 475af5a | 9,044 B | B | view · diff |
| git:20260918.b4657a2 | 2026-09-18 | b4657a2 | 8,811 B | B | view · diff |
| git:20260916.6238045 | 2026-09-16 | 6238045 | 27,583 B | B | view · diff |
| git:20260823.c7b7857 | 2026-08-23 | c7b7857 | 27,064 B | B | view |
Audit of the latest version
- fail: No link to a raw IP address (matched: http://127.0.0.1:30000)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (11309 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_dhlmcos4efyzkgbl GET https://markdownregistry.com/api/v1/resolve?ref=bbuf/ai-infra-auto-driven-skills/llm-torch-profiler-analysis GET https://markdownregistry.com/api/v1/blob/f37c29770671b5ab6302ecde57140f1ab0bbb544c08883023e8200efbdf59d51
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.