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vllm-ascend-workspace: Skill for Codex

.agents/skills/vllm-ascend-change-validation/SKILL.md

vllm-ascend-change-validation is a skill for Codex from maoxx241/vllm-ascend-workspace. It costs 104 tokens per session (653 once invoked), scanned A, original, MIT.

A validation planner for changes to vLLM and vllm-ascend, software used to serve machine-learning models. It maps changed components to the tests and evidence needed for a release-ready report.

In plain words
What is it for?
Use it to analyze a workspace diff, create a validation plan, connect results to plan items, and produce a pull-request validation report.
Why use it?
It helps determine which correctness, build, performance, graph, operator, distributed, and profiling checks are needed after a code change.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is maoxx241/vllm-ascend-workspace's own configuration. It tells Codex how to work on vllm-ascend-workspace itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything vllm-ascend-workspace configures →

not rated 36repo 2mo ago A scan SkillSpector: pass 104 tokens original MIT
View source ↗ maoxx241/vllm-ascend-workspace
Reuse

Borrowing it

Nothing to install: this file belongs to maoxx241/vllm-ascend-workspace. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/maoxx241/vllm-ascend-workspace/main/.agents/skills/vllm-ascend-change-validation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/maoxx241/vllm-ascend-workspace

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

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README.md
[![agentmods](https://agentmods.dev/badge/skills/maoxx241/vllm-ascend-workspace/vllm-ascend-change-validation/github.svg)](https://agentmods.dev/skills/maoxx241/vllm-ascend-workspace/vllm-ascend-change-validation)
Your own site
<a href="https://agentmods.dev/skills/maoxx241/vllm-ascend-workspace/vllm-ascend-change-validation"><img src="https://agentmods.dev/badge/skills/maoxx241/vllm-ascend-workspace/vllm-ascend-change-validation/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for vllm-ascend-change-validation

Your own site · 80×15
<a href="https://agentmods.dev/skills/maoxx241/vllm-ascend-workspace/vllm-ascend-change-validation"><img src="https://agentmods.dev/badge/skills/maoxx241/vllm-ascend-workspace/vllm-ascend-change-validation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 104 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 653 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00104 $0.00653
Opus 5.5 $0.00042 $0.00261
Sonnet 5.5 $0.00021 $0.00131
Haiku 4.5 $0.00010 $0.00065

Measured 2mo ago against content hash 73216472dcd0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vllm-ascend-change-validation scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/change_validation.py, tests/test_change_validation.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/vllm-ascend-change-validation/SKILL.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

vLLM Ascend Change Validation

Use this Skill as the validation planner and evidence aggregator for a code change.

Workflow

  1. Obtain the exact baseline and candidate diff, including relevant untracked files.
  2. Run scripts/change_validation.py plan.
  3. Review impact-analysis.json and validation-plan.json; correct false-positive or missing mappings before consuming NPU resources.
  4. Execute required items with the owning Skill:
    • correctness evidence: vllm-ascend-correctness-validation;
    • eager-pass/graph-fail diagnosis: vllm-ascend-graph-debug;
    • service lifecycle: vllm-ascend-serving;
    • benchmark and profiling evidence: their dedicated Skills;
    • distributed, operator, or performance workflows when those Skills are available.
  5. Link each downstream Run Manifest with the plan item IDs it covers.
  6. Run finalize.
  7. Deliver pr-validation-report.md with explicit missing and recommended coverage.

The planner defaults to the versioned rules in references/validation-rules.yaml, so the Skill remains functional when the formal workspace knowledge store is empty. Use --knowledge PATH to supply a reviewed workspace-specific rule set. Missing matches produce a generic targeted smoke plus manual-review flag; they never imply that no validation is needed.

Entry point

scripts/change_validation.py provides:

  • plan: collect or read a unified diff, classify impact, write a validation plan, and create a parent Run Manifest;
  • link: associate a downstream Run Manifest with one or more plan items;
  • finalize: assess required coverage and child statuses, then generate the final PR report.

Read:

Rules

  • Keep the reason and source rule for every plan item.
  • Distinguish required and recommended; resource constraints do not silently downgrade required evidence.
  • Treat child failed as failed, child non-terminal/inconclusive or missing required coverage as inconclusive.
  • A passed parent requires every required item to be covered by at least one passed child run.
  • Record unsupported, unknown, and intentionally omitted combinations under known limitations.
  • Do not duplicate Serving, correctness, Benchmark, Profiling, graph-debug, distributed-debug, or operator-debug implementation.
  • Keep run state under .vaws-local/change-validation/.

Read the full file on GitHub · 54 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 54 lines · 104 tokens per session scan A 73216472dcd0

Subscribe to this mod's changes

vllm-ascend-change-validation is a skill published in the GitHub repository maoxx241/vllm-ascend-workspace (36 stars, last pushed 2mo ago), licensed MIT. It adds 104 tokens to every session and 653 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AITesting
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