kernel-trace-analysis SKILL.md skillA
kernel-trace-analysis 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/kernel-trace-analysis@git:20261018.8f7be91Pins git:20261018.8f7be91 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/kernelforge/knowledge/local_wiki/resources/languages/flydsl/skills/profile/kernel-trace-analysis/SKILL.md- Versions recorded
- 2
- Latest version
- git:20261018.8f7be91, committed Oct 18, 2026
- First version recorded
- Oct 8, 2026
- Size
- 18,793 bytes
- Repository stars
- 262
- License
- a license file GitHub does not identify
Profile GPU kernels using rocprofv3 to collect ATT instruction-level traces, then analyze the trace data using hotspot_analyzer.py to identify top-K stall hotspots (VMEM-load, VMEM-wait, LDS/SMEM-wait, barrier, MFMA stalls) mapped back to source lines, and produce an actionable optimization plan. Usage: /kernel-trace-analysis <cmd> Can also analyze an existing dispatch dir directly: /kernel-trace-analysis --dir <path>.
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
# Kernel Trace Analysis Profile and analyze GPU kernel ATT traces to identify stall hotspots and produce an optimization plan. ## Arguments | Argument | Description | |----------|-------------| | `<CMD>` | Command to profile. Example: `python bench_pa.py --batch 32` | | `--dir <path>` | Skip collection; analyze existing `ui_output_agent_*_dispatch_*` directory | | `--topk N` | Show top-N hotspots (default: 15) | --- ## Analyzer Scripts - `scripts/hotspot_analyzer.py` — reads a `ui_output_agent_*_dispatch_*` ATT directory; reports top-K stall hotspots, stall-type breakdown, and occupancy (combined-VGPR-pool model, reads accum/LDS/SGPR from `out_kernel_trace.csv`). - `scripts/pmc_l2_analyzer.py` — reads rocprofv3 PMC counter CSV(s); reports L2 hit rate, HBM 32B-partial fraction, and over-fetch ratio. Use when a kernel is memory-bound and you need to know *why* (ATT has no cache counters). See "L2 / HBM efficiency analysis" under Step 5. --- ## Workflow ### Mode A: Analyze existing dispatch directory If the user provides `--dir <path>` or already has a `ui_output_agent_*_dispatch_*` directory: ```bash …
Read the whole file at its exact version.
How to install
mdr add amd-agi/hyperloom/kernel-trace-analysis@sha256:bc87ea6c408806f1The line at the top of this page pins the label git:20261018.8f7be91, 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_33n3n5dxmqks3kjo)
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Versions
The registry has recorded 2 versions of this file, between Oct 8, 2026 and Oct 18, 2026, about one every 10 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261018.8f7be91 latest | 2026-10-18 | 8f7be91 | 18,793 B | A | view · diff |
| git:20261008.f53329a | 2026-10-08 | f53329a | 18,841 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 (18793 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_33n3n5dxmqks3kjo GET https://markdownregistry.com/api/v1/resolve?ref=amd-agi/hyperloom/kernel-trace-analysis GET https://markdownregistry.com/api/v1/blob/bc87ea6c408806f1356ba2c437440632b254d94e9a36acd57e56becbb5bfa51c
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.