auto-rebase

auto-rebase is a skill for Claude Code, Codex from cohere-ai/vllm-skills. It costs 68 tokens per session (1,121 once invoked), scanned A, original, Apache-2.0.

A workflow for checking whether the vLLM project has released a newer version and rebasing your fork branch onto it. A fork is your separate copy of another project.

In plain words
What is it for?
Keeping a vLLM fork current with upstream releases and checking or performing an automatic rebase.
Why use it?
It removes the manual work of finding newer vLLM releases and applying their changes to your fork.

Skill for Claude CodeCodex ✓ vendor

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Keeping a vLLM fork current with upstream releases and checking or performing an automatic rebase.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/cohere-ai/vllm-skills/auto-rebase
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 cohere-ai/vllm-skills --skill auto-rebase
Clone the repo
git clone --depth 1 https://github.com/cohere-ai/vllm-skills

Made for: Claude Code, 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.

agentmods badge for auto-rebase

README.md
[![agentmods](https://agentmods.dev/badge/skills/cohere-ai/vllm-skills/auto-rebase/github.svg)](https://agentmods.dev/skills/cohere-ai/vllm-skills/auto-rebase)
Your own site
<a href="https://agentmods.dev/skills/cohere-ai/vllm-skills/auto-rebase"><img src="https://agentmods.dev/badge/skills/cohere-ai/vllm-skills/auto-rebase/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 auto-rebase

Your own site · 80×15
<a href="https://agentmods.dev/skills/cohere-ai/vllm-skills/auto-rebase"><img src="https://agentmods.dev/badge/skills/cohere-ai/vllm-skills/auto-rebase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 68 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,121 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.
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 $0.00068 $0.01121
Opus 5 $0.00034 $0.00561
Sonnet 5 $0.00014 $0.00224
Haiku 4.5 $0.00007 $0.00112

Measured 11d ago against content hash e27b0365492c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

auto-rebase 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/auto-rebase/SKILL.md · 140 lines

How it starts

The opening of the file, as written. The whole thing — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Auto Rebase

Check whether a newer upstream vllm release exists and, if so, rebase the current fork branch onto it automatically. Uses the same notation as rebase-assistant: v1/​v2 for upstream tags, b1/​b2 for the branch before/after rebase.

Step 0: Prerequisites

Verify required tools are installed and authenticated before starting.

# gh CLI — needed to query upstream releases
gh auth status 2>/dev/null || echo "ERROR: gh not authenticated"

If gh auth status fails, prompt the user to run gh auth login and wait for confirmation before proceeding. The git-tag fallback in Step 2 works without gh, but release metadata (pre-release flags, release notes) is only available through the GitHub API.

Step 1: Detect Current Upstream Base

The current branch is b1. Use the detect-upstream-base skill to identify v1 — the upstream tag that b1 is based on. See detect-upstream-base.

Confirm v1 with the user before proceeding.

Step 2: Check for New Upstream Releases

Fetch the latest tags and compare against v1.

git fetch upstream --tags

List upstream release tags newer than v1:

git tag --list "v*" --sort=-version:refname \
  | while read -r tag; do
      git merge-base --is-ancestor "upstream/$V1" "$tag" 2>/dev/null \
        && [ "$tag" != "$V1" ] \
        && echo "$tag"
    done

Alternatively, use gh for a cleaner check:

gh release list --repo vllm-project/vllm --limit 10 \
  | awk '{print $1}'

Pick the latest stable release as the candidate v2. Skip pre-release or release-candidate tags unless the user opts in.

Present to user:

  • Current base: v1
  • Latest upstream release: v2
  • Release notes link: https://github.com/vllm-project/vllm/releases/tag/$V2

If v1 == v2 (already up to date), report that and stop.

Ask: "A new release $V2 is available. Proceed with rebase?"

Wait for confirmation before proceeding.

Read the full file on GitHub · 140 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 · 140 lines · 68 tokens per session scan A e27b0365492c

Subscribe to this mod's changes

auto-rebase is a skill published in the GitHub repository cohere-ai/vllm-skills (6 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 1,121 once invoked, about $0.0003 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 2026-08-31.