ascend-npu-run-eval
Execute and evaluate generated operator artifacts.
Skill by Piagari
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/piagari-ascend-npu-run-eval-a08a06
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About
Use cases: testing, data
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/ascend-npu-run-eval
What's inside
- Skill name
ascend-npu-run-eval- Description
- Execute and evaluate generated operator artifacts. Use when you need to run generated test cases, run generated benchmark cases, fast-screen a candidate operator against a baseline, profile benchmark harnesses, summarize profiling data, or compare performance artifacts, including during optimization workflows.
- License
- Apache-2.0
- Instructions
- 28 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (29)
- SKILL.md
- compare-perf.md · references/
- probe-bench.md · references/
- profile-bench.md · references/
- profile-report.md · references/
- run-bench.md · references/
- run-test.md · references/
- bench_contract.py · scripts/
- bench_runner.py · scripts/
- bench_runtime.py · scripts/
- cli.py · scripts/
- compare_result.py · scripts/
- debug_device.py · scripts/
- dtype_close_compare.py · scripts/
- env_registry.py · scripts/
- npu_affinity.py · scripts/
- npu_compare.py · scripts/
- npu_compare_common.py · scripts/
- npu_contract_compare.py · scripts/
- perf_artifacts.py · scripts/
- probe_runner.py · scripts/
- profile_csv_parser.py · scripts/
- profile_runner.py · scripts/
- remote_execution_env.py · scripts/
- result_payload.py · scripts/
- run_runtime.py · scripts/
- simulator_runner.py · scripts/
- test_runner.py · scripts/
- torch_npu_warnings.py · scripts/
SKILL.md (first lines)
# Run-Eval Router Use the bundled helper script in this skill. Treat `<ascend-npu-run-eval-skill-path>` as the staged path to the `ascend-npu-run-eval` skill for the active backend: ```bash python3 <ascend-npu-run-eval-skill-path>/scripts/cli.py <subcommand> ... ``` For `probe-bench`, use the surface that actually exposes that subcommand in the current workspace. If the staged `cli.py` in this skill has not been updated yet, use the workspace's public `helix probe-bench` command instead of guessing helper internals. Read only the focused guide for the subcommand you are about to run: - `run-test-baseline` / `run-test-convert` / `run-test-optimize`: [references/run-test.md](references/run-test.md) - `run-bench`: [references/run-bench.md](references/run-bench.md) - `probe-bench`: [references/probe-bench.md](references/probe-bench.md) - `profile-bench`: [references/profile-bench.md](references/profile-bench.md) - `profile-report`: [references/profile-report.md](references/profile-report.md) - `compare-perf`: [references/compare-perf.md](references/compare-perf.md) During normal use: - call `python3 <ascend-npu-run-eval-skill-path>/scripts/cli.py <subcommand> ...` directly - do not read unrelated command guides - do not reread Python files under `<ascend-npu-run-eval-skill-path>/scripts/` unless you need to debug, patch, or verify helper behavior
From Piagari/helix, Apache-2.0.
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Generate correctness test code for an Ascend NPU operator from source code and task context.
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create-pr
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Use when opening a new pull request for this repository requires the repo's branch, validation, and skill-script checking gates to run before PR creation.
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ascend-npu-gen-bench
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Generate benchmark code for an Ascend NPU operator.
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ascend-npu-analyze-round-performance
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Use when an optimize round needs deep performance diagnosis from round-local profile and optional IR evidence, especially to explain scalar/vector/cube…
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ascend-npu-profile-operator
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Get and analyze Ascend NPU operator performance data.
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helix-pyinstaller-packager
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Package the helix repository into PyInstaller onefile executables with the built-in skills tree embedded.
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ascend-npu-run-eval
Piagari
Execute and evaluate generated operator artifacts.
SkillCFreshness: CClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 16, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/Piagari/helix
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.479score
ascend-npu-report
Piagari
Generate a Chinese optimization report from an existing optimize workspace.
SkillCFreshness: CClaude Code +9 - 0.479score
managing-gitcode-prs
Piagari
Create, list, and inspect GitCode pull requests for the current project.
SkillCFreshness: CClaude Code +9 - 0.479score
create-pr
Piagari
Use when opening a new pull request for this repository requires the repo's branch, validation, and skill-script checking gates to run before PR creation.
SkillCFreshness: CClaude Code +9 - 0.479score
ascend-npu-plan-git-operator-workspaces
Piagari
Use when a Git branch must be analyzed to plan Ascend NPU operator workspaces for downstream distillation or optimization across Triton, TileLang, or similar…
SkillCFreshness: CClaude Code +9 - 0.479score
ascend-npu-gen-bench
Piagari
Generate benchmark code for an Ascend NPU operator.
SkillCFreshness: CClaude Code +9 - 0.479score
tilelang-npu-analyze-ir
Piagari
Use when an agent needs to inspect generated AscendC source code from a TileLang compiled operator, reason about likely performance issues from the generated…
SkillCFreshness: CClaude Code +9
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ascend-npu-run-eval skill. Agent Mart. https://agentmart.dev/skills/piagari-ascend-npu-run-eval-a08a06 (last updated 2026-10-24)