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vllm-ascend-correctness-validation

Design and compare deterministic vLLM Ascend correctness cases across code states, execution modes and API paths.

Skill by pisceskkk

IndexedMIT★ 1
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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/pisceskkk-vllm-ascend-correctness-validation

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Design and compare deterministic vLLM Ascend correctness cases across code states, execution modes and API paths.

Use cases: design, backend

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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/vllm-ascend-correctness-validation

What's inside

Skill name
vllm-ascend-correctness-validation
Description
Design and compare deterministic vLLM Ascend correctness cases across code states, execution modes and API paths.
License
MIT
Instructions
23 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (6)

  • SKILL.md
  • openai.yaml · agents/
  • acceptance.md · references/
  • behavior.md · references/
  • aisbench_adapter.py · scripts/
  • remote_correctness_harness.py · scripts/

SKILL.md (first lines)

# Vllm Ascend Correctness Validation

Use this skill for the domain task described above. The workflow below is a reference contract; choose execution tools available in the target environment.

## Core workflow

1. Define the affected case matrix: baseline/candidate, eager/graph, offline/online and task metrics as needed.
2. Fix prompts, tokenizer, model weights, seed, temperature, topology and feature flags across comparisons.
3. Normalize outputs and metrics before comparison; repeat suspected nondeterministic cases.
4. Classify the first divergence and preserve raw responses, logs and case configuration.

## Detailed references

- [acceptance.md](references/acceptance.md)
- [behavior.md](references/behavior.md)

## Reference code

The scripts in `scripts/` contain domain analysis or validation logic. Use them with inputs that match their documented contracts; runtime-specific tools remain external.

AISBench and `aisbench_auto_tools` are external tools. Supply their installation or source location from the target environment.

From pisceskkk/vllm-ascend-skills, MIT.

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Last commit (this folder)
Oct 15, 2026 (16 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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vllm-ascend-correctness-validation skill. Agent Mart. https://agentmart.dev/skills/pisceskkk-vllm-ascend-correctness-validation (last updated 2026-10-24)