profiler SKILL.md skillA
profiler from amd-agi/hyperloom is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add amd-agi/hyperloom/profiler@git:20261105.0d95dc2Pins git:20261105.0d95dc2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- amd-agi/hyperloom
- Path
src/hyperloom_arbor/.claude/skills/profiler/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261105.0d95dc2, committed Nov 5, 2026
- Size
- 5,913 bytes
- Repository stars
- 262
- License
- a license file GitHub does not identify
Profile an LLM serving workload on ROCm to find where GPU time goes, with TraceLens on PyTorch-profiler traces of the served program. Start from the host's profile when there is one (in component mode, MB's TraceLens profile of the root); take a trace of your own only for what it does not cover, or after a KEEP moved the tree. Use when asked to profile, rank optimization sites, compare two trees' profiles, or write a dossier's profile (part 7) or kernel usage (part 8).
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
# Profiling on ROCm with TraceLens
Audience: an agent (or a person) asked where a serving workload's GPU time goes and what to optimize.
TraceLens (AMD-AGI/TraceLens) reads a PyTorch-profiler trace into tables: GPU time by op and by kernel, the GPU
timeline (busy, idle, communication), collectives across ranks, and rooflines. It is installed with the environment
(`$TRACELENS_ROOT`; its commands are on `PATH`).
## 1. The host's profile first
In component mode the host may have profiled the tree already. MB does: PRELUDE profiles the root with TraceLens and
gives the result to Arbor as `component.profile`, which the harness reads into your program at every iteration
("The host's profile").
- **What it holds:** `{"unit": "percent", "shares": {<name>: <share>}}`, with its source. The names are ops when
TraceLens could attribute kernels to ops, and kernel names when it could not (a graph-replayed trace, section 4).
- **Use it:** cite it for where time goes in the root, and rank work by it.
- **Take your own trace** only for what it does not cover: a tree a KEEP has moved, a phase it did not separate
…Read the whole file at its exact version.
How to install
mdr add amd-agi/hyperloom/profiler@sha256:7317303c6e486449The line at the top of this page pins the label git:20261105.0d95dc2, 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_qjquyf3ddbwmmrhm)
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Versions
The registry has recorded 1 version of this file, committed on Nov 5, 2026.
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 (5913 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
amd-agi/hyperloom · 262 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_qjquyf3ddbwmmrhm GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/profiler GET https://markdownregistry.com/api/v1/blob/7317303c6e4864497072217478bfbee353c65a37368eb1de3ddd22f08926c1e4
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.