odh-llm-d-release

odh-llm-d-release is a skill for Claude Code from opendatahub-io/ai-helpers. It costs 124 tokens per session (3,231 once invoked), scanned A, original, Apache-2.0.

A release workflow for publishing all llm-d components in the Open Data Hub project during one release cycle. It coordinates branches, pull requests, image checks, and release records from one version input.

In plain words
What is it for?
It helps create release branches, run Konflux onboarding, validate and merge pull requests, verify Quay container images, update KServe metadata, and comment on the release tracker.
Why use it?
It removes the need for a release manager to repeat and track the same steps separately for every component.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; names the AskUserQuestion tool; positional $N argument.

Part of the odh-llm-d plugin — 1 skill shipped together

Good fit It helps create release branches, run Konflux onboarding, validate and merge pull requests, verify Quay container images, update KServe metadata, and comment on the release tracker.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/opendatahub-io/ai-helpers/odh-llm-d-release
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add opendatahub-io/ai-helpers --skill odh-llm-d-release
Clone the repo
git clone --depth 1 https://github.com/opendatahub-io/ai-helpers

Made for: Claude Code.

Or install odh-llm-d, the plugin that ships this one along with the rest of its 1 skill.

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.

agentmods badge for odh-llm-d-release

README.md
[![agentmods](https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/odh-llm-d-release/github.svg)](https://agentmods.dev/skills/opendatahub-io/ai-helpers/odh-llm-d-release)
Your own site
<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/odh-llm-d-release"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/odh-llm-d-release/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 odh-llm-d-release

Your own site · 80×15
<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/odh-llm-d-release"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/odh-llm-d-release.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,231 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00124 $0.03231
Opus 5 $0.00062 $0.01615
Sonnet 5 $0.00025 $0.00646
Haiku 4.5 $0.00012 $0.00323

Measured 12d ago against content hash b6d89a22dec4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

odh-llm-d-release scanned grade A with 1 finding 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 12d ago.

The scan reads SKILL.md. This mod also ships 11 executable files (scripts/create-github-release.sh, scripts/create-release-branch.sh, scripts/onboarder-pr-finder.sh, …), 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

compatibility: Requires gh (authenticated), yq, jq, curl, git.
plugins/odh-llm-d/skills/odh-llm-d-release/SKILL.md · 292 lines

How it starts

The opening of the file, as written. The whole thing — 292 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ODH llm-d Release Orchestrator

Runs once per ODH release cycle by the release manager. Drives release branch creation, the Konflux onboarder workflow, onboarder-PR validation and merge, Quay image verification, KServe metadata PR, and the tracker comment — for every llm-d component in one shot.

Single input: --version v3.5-ea2. Three values derive from it:

Use Value
ODH release branch on each component repo release-v3.5-ea2
Konflux onboarder version input + Quay image tag v3.5-ea2
GitHub release tag on each component repo odh-v3.5-ea2

Value flow (for --version v3.5-ea2)

This diagram shows where the version goes, what name it takes at each stop, and which script flag receives it. Three derived values are colored below: B = release branch, T = image tag (unchanged from VERSION), R = GitHub release tag.

release manager
 └─ /odh-llm-d-release --version v3.5-ea2

orchestrator (SKILL.md)
   VERSION       = v3.5-ea2
   RELEASE_BRANCH= release-v3.5-ea2     (B = release_branch_prefix + VERSION)
   IMAGE_TAG     = v3.5-ea2             (T = VERSION, unchanged)
   RELEASE_TAG   = odh-v3.5-ea2         (R = github_release_tag_prefix + VERSION)
 │
 ├── per-component sub-agent (one per component, in parallel)
 │     step 1  create-release-branch.sh    --branch B    → branch release-v3.5-ea2
 │     step 2  onboarder-trigger-gha.sh    --version T   → Konflux builds quay.io/.../<image>:v3.5-ea2
 │     step 6  release-image-checker.sh    --tag     T   → verifies quay.io/.../<image>:v3.5-ea2
 │     step 7  create-github-release.sh    --tag     R   → draft GH release tagged odh-v3.5-ea2
 │
 └── KServe metadata sub-agent
       open-kserve-metadata-pr.sh          --version VERSION  → PR title/branch use v3.5-ea2
                                           (the upstream component versions in --updates
                                            are SEPARATE — collected from the release
                                            manager via AskUserQuestion in step 1)

Read the full file on GitHub · 292 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. 12d ago First seen · 292 lines · 124 tokens per session scan A b6d89a22dec4

Subscribe to this mod's changes

odh-llm-d-release is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 5d ago), licensed Apache-2.0. It adds 124 tokens to every session and 3,231 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.