volcano-gang-scheduling

volcano-gang-scheduling is a skill for Claude Code, Codex from scitix/siclaw. It costs 37 tokens per session (2,592 once invoked), scanned A, original, Apache-2.0.

A diagnostic guide for Volcano gang scheduling, where a group of pods must start together. It explains why a PodGroup or distributed job stays pending when the required minimum number of members cannot be scheduled.

In plain words
What is it for?
Use it when some group pods are running while others remain pending, a PodGroup is Inqueue, or scheduling events mention minMember or minAvailable.
Why use it?
It helps identify resource shortages and group constraints that prevent the whole workload from starting. This matters for distributed jobs such as MPI, TensorFlow, or PyTorch, where running only part of the group is not useful.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bash skills/core/volcano-scheduler-logs/scripts/get-scheduler-logs.sh --keyword gang.

Good fit Use it when some group pods are running while others remain pending, a PodGroup is Inqueue, or scheduling events mention minMember or minAvailable.

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Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/scitix/siclaw
agentmods
npx agentmods add skills/scitix/siclaw/volcano-gang-scheduling

Made for: Claude Code, Codex.

Wrote this? Show the measurements

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README.md
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Your own site · 80×15
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Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,592 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 $0.00037 $0.02592
Opus 5 $0.00018 $0.01296
Sonnet 5 $0.00007 $0.00518
Haiku 4.5 $0.00004 $0.00259

Measured 11d ago against content hash 8f24086bb43c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

volcano-gang-scheduling 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 11d 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.

skills/core/volcano-gang-scheduling/SKILL.md · 300 lines

How it starts

The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gang Scheduling Diagnosis

This is a diagnostic guide for Gang scheduling issues in Volcano. Gang scheduling requires that all members of a PodGroup be scheduled simultaneously. If the cluster cannot satisfy the minMember requirement, none of the pods will be scheduled.

Scope: This skill is for diagnosis only. Once you identify the root cause, report it to the user and stop. Do NOT attempt to modify PodGroups or resource configurations.

When to Use This Guide

Use this skill when:

  • PodGroup status is Inqueue but member Pods remain Pending
  • Events contain minMember related errors
  • Volcano Job has minAvailable or minMember that cannot be satisfied
  • Some member Pods are running, others are Pending, and the entire group won't start
  • You see FailedScheduling events mentioning Gang constraints

Understanding Gang Scheduling

Gang scheduling in Volcano ensures that either all members of a workload are scheduled, or none are. This is crucial for distributed workloads like MPI, TensorFlow, PyTorch where partial scheduling is wasteful.

Key Concepts:

  • minMember (in PodGroup spec): Minimum number of pods that must be scheduled simultaneously
  • minResources (in PodGroup spec): Aggregate resource floor (e.g., total GPUs) that must be available — both minMember and minResources must be satisfied if set
  • minAvailable (in Job spec): Similar concept at Job level
  • The scheduler checks if there are simultaneous resources for all minMember pods before allocating

Diagnostic Steps

Step 1: Identify the PodGroup

Find the PodGroup associated with the pending pods:

kubectl get pod <pod-name> -n <namespace> -o jsonpath='{.metadata.annotations.scheduling.volcano.sh/pod-group}'

Step 2: Check PodGroup Status

Get detailed PodGroup information:

kubectl get podgroup <podgroup-name> -n <namespace> -o yaml

Key fields to examine:

Field Meaning What to Look For
spec.minMember Minimum pods required Is this number achievable?
spec.minResources Aggregate resource floor Is total cluster capacity sufficient?
status.phase Current scheduling phase Should be Inqueue for ready-to-schedule
status.running Currently running pods Compare to minMember
status.pending Pending pods These are waiting for Gang constraint
spec.queue Queue name Check if queue has sufficient resources

Read the full file on GitHub · 300 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. 11d ago First seen · 300 lines · 37 tokens per session scan A 8f24086bb43c

Subscribe to this mod's changes

volcano-gang-scheduling is a skill published in the GitHub repository scitix/siclaw (233 stars, last pushed yesterday), licensed Apache-2.0. It adds 37 tokens to every session and 2,592 once invoked, about $0.0002 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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