Add hrr-replay-findings skill for read-only HRR replay triage#91
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akshayv wants to merge 6 commits into
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Add hrr-replay-findings skill for read-only HRR replay triage#91akshayv wants to merge 6 commits into
akshayv wants to merge 6 commits into
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Structured parser classifies replay faults (read-only/OOB, illegal access, NaN/Inf divergence, hang, OOM) and extracts fault address, event index, kernel, and kernarg from logs and archives across diverse GPU workloads.
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July 15, 2026 15:38
Add run_hrr_replay.sh (native or Docker) with optional --analyze step; update SKILL workflow to archive-first replay then structured finding.
Remove HRR_REPO_ROOT and internal lab script deps; auto-pick GPU by free VRAM; default docker replay uses stock container ROCm without HIP_SO paths.
Replay runs hrr-playback on the host with auto GPU selection; no container image or docker dependency in the skill or run_hrr_replay.sh.
Auto-find hrr-playback on PATH and /opt/rocm/bin; auto LD_LIBRARY_PATH; ask user once only for archive or playback if discovery fails. No Docker, no hardcoded lab paths, no run-this-script user instructions.
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Summary
Adds
hrr-replay-findings— a read-only Agent Skill for triaging HIP Runtime Replay (HRR) captures and replay logs across diverse GPU workloads (vLLM, PyTorch finetune, hipBLASLt StreamK).reference.md) and worked examples from MAF repro sessionsscripts/analyze_replay_finding.py(log + optional archive--info+ multi-replay sweep TSV → JSON/Markdown)Designed as the first, low-risk triage step before deeper crash analysis / patching workflows.
Skill layout
Test plan
Cijk_*_SK3_*,d2h_fail=0)npx skills add amd/skills --skill hrr-replay-findingsafter mergereplay_passclassificationUsage
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