git:20260911.0ddd029 to git:20260912.8f487fc

5 added, 1 removed. Audit A to A.

---

name: ascend-profiling-analysis

description: Analyze existing Ascend profiler databases, kernel_details.csv, traces or communication summaries for step, layer, operator and cross-rank timing. Use when profiler data is available and timing analysis or a profiling report is requested. New trace collection uses profiling-collection; a slow-service report without traces does not by itself select this analyzer.

---

# ascend-profiling-analysis

Analyze existing Ascend profiler data and produce evidence-linked step, layer, operator and cross-rank findings.

- Tie findings to actual rank/time/row evidence and retain uncertainty in model structure or hardware context. Use config.json or verified profile-visible evidence for model dimensions. Contextual diagnoses belong in project knowledge; deterministic classification and validation belong in the analyzer code or policy data with tests.

+ Tie findings to actual rank/time/row evidence and retain uncertainty in model structure or hardware context. Use config.json or verified profile-visible evidence for model dimensions. Knowledge provides optional context; it does not override current measurements, configuration or source evidence. Missing references do not block analysis. Deterministic classification and validation belong in the analyzer code or policy data with tests.

+ Report generation preserves existing reference links and performs no knowledge

+ lookup or index startup. The Agent can query the knowledge MCP tools separately

+ when a finding warrants more context.

## Agent entry

Run from the repository root using the platform's Python launcher. The workspace

selects its installed platform environment automatically.

```text

python .agents/skills/ascend-profiling-analysis/scripts/profile_analyze.py --manifest collection/manifest.json

```

Use --remote-profile-root for an existing root and profile_sweep.py for multiple roots. The normal fast mode returns analysis_summary.json and compact report artifacts. --mode full adds detailed HTML/XLSX outputs. Remote parsing keeps large traces near their storage; explicit remote endpoints and execution references select the analysis target.

Use profiling-collection only when new traces are needed. HBM component attribution belongs to memory-profiling.

Read the relevant detail only when needed:

- [behavior](references/behavior.md)