vllm-ascend-workspace: Instructions file for Codex

AGENTS.md

vllm-ascend-workspace AGENTS.md is an instructions file for Codex, OpenCode from maoxx241/vllm-ascend-workspace. It costs 1,914 tokens per session, scanned A, original, MIT.

Repository instructions for developing vLLM and its Ascend extension in a workspace that uses Git submodules—repositories included inside another repository. They describe local and remote development tools, project rules, and maintenance guidance.

In plain words
What is it for?
Use them while developing or maintaining the vLLM-Ascend workspace, especially when reading, editing, searching, or running commands on its remote development environment.
Why use it?
They clarify where code lives and which tools to use when working locally or on a remote machine. This reduces mistakes when changing a project split across a main repository and submodules.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

This is maoxx241/vllm-ascend-workspace's own configuration. It tells Codex and OpenCode 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 →

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.md
Clone the repo
git clone --depth 1 https://github.com/maoxx241/vllm-ascend-workspace

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 1,914 This file is loaded in full into every session.
When invoked 1,914 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.01914 $0.01914
Opus 5 $0.00957 $0.00957
Sonnet 5 $0.00383 $0.00383
Haiku 4.5 $0.00191 $0.00191

Measured 5d ago against content hash 4c00966af76b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

vllm-ascend-workspace AGENTS.md 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 5d ago.

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.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository instructions

Local vllm + vllm-ascend development scaffold. vllm/ and vllm-ascend/ are Git submodules.

This repository provides a remote development substrate first, then vLLM-Ascend skills on top.

Remote development model

Use native client tools for local files and local shell work.

Use remote companion tools for remote endpoints. The remote tools mirror native tool semantics and only add endpoint fields:

Local tool Remote tool
Read remote.read
Edit remote.edit
Write remote.write
Bash remote.bash
Glob remote.glob
Grep remote.grep
LS remote.ls
Monitor remote.monitor
apply_patch remote.apply_patch

Default endpoint fields:

  • host
  • port
  • user, default root
  • root, default /
  • cwd, default /vllm-workspace

Prefer host + port direct endpoints for ordinary remote development. session_id, session_file, and machine remain advanced compatibility paths for managed VAWS sessions and legacy single-tenant flows.

Prefer remote companion tools for ordinary remote development. Hooks are permissive by default, and direct endpoints default to full remote-path permission (root=/). Pass a narrower root explicitly when a task requires path isolation.

Skills

Repo-local skills live under .agents/skills/. Each has its own SKILL.md with usage, entry points, and routing rules — read that before invoking.

Skill Purpose
repo-init Initialize workspace: gh, GitHub auth, submodules, fork topology
machine-management Add / verify / repair / remove a remote NPU machine
npu-fleet-monitor Deploy, start, inspect, restart, or stop the loopback-only NPU monitoring dashboard from its standalone worktree
session-management Create / inspect / remove / group isolated agent sessions (local worktree + remote container + leases)
remote-toolbox Compatibility backend for managed VAWS target/probe/exec/job/sync/service/artifact/cleanup tools
remote-code-parity Sync local working tree to remote container before execution
modelscope Download / resume / status-check / SHA256-verify ModelScope model weights under explicit local directories
vllm-ascend-serving Start / check / stop a vLLM Ascend service on a remote container
vllm-ascend-benchmark Run vllm bench serve benchmarks (single-run or multi-run with warmup)
ascend-memory-profiling Profile HBM memory usage on Ascend NPU for vLLM serving scenarios
ascend-profiling-collection Collect one Ascend torch-profiler case end-to-end (start service, bracket workload with /start_profile + /stop_profile, run analyse(), verify outputs, write manifest)
ascend-profiling-analysis Analyze collected Ascend torch-profiler roots/manifests and generate reports
curate-workspace-knowledge Explicitly review, deduplicate, promote, merge, reject, or deprecate verified knowledge candidates
vllm-ascend-graph-debug Diagnose Ascend graph compile, capture, replay, and graph/eager correctness divergence
vllm-ascend-correctness-validation Plan and compare baseline/candidate, eager/graph, offline/online, and task-metric correctness evidence
vllm-ascend-change-validation Map code diffs to required validation evidence and aggregate downstream runs into PR reports
vllm-ascend-performance-regression Control alternating baseline/candidate experiments and assess performance regressions
vllm-ascend-distributed-debug Diagnose rank topology, process-group, endpoint, collective, and distributed hang failures
ascend-operator-debug Reduce a model symptom to one Ascend operator call and validate an explicit input/mode matrix
ascend-triton-operator-development Convert a PyTorch or GPU Triton contract into a first correct Ascend Triton candidate
ascend-triton-kernel-validation Detect fallback and validate an Ascend Triton kernel over an explicit correctness matrix
ascend-triton-kernel-optimization Run profiler-driven, correctness-gated Ascend Triton optimization experiments
ascend-triton-workflow Orchestrate Ascend Triton development, validation, optimization, and evidence linking
vllm-ascend-pd-serving Orchestrate grouped prefill/decode services, connector configuration, rollback, and smoke tests

Read the full file on GitHub · 113 lines

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. 5d ago Changed · +14 lines · +302 tokens per session 4c00966af76b
  2. 9d ago First seen · 99 lines · 1,612 tokens per session scan A a81138f455d4

Subscribe to this mod's changes

vllm-ascend-workspace AGENTS.md is an instructions file published in the GitHub repository maoxx241/vllm-ascend-workspace (36 stars, last pushed 4d ago), licensed MIT. It adds 1,914 tokens to every session, about $0.0096 per session on Opus 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.

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