ci-runner

ci-runner is a skill for Claude Code, Codex from hao-ai-lab/FastVideo. It costs 38 tokens per session (1,351 once invoked), scanned A, original, Apache-2.0.

A project-specific guide for FastVideo's GPU continuous-integration system. Continuous integration automatically builds and tests code changes; GPU lanes run those tests on shared graphics hardware managed by Slurm.

In plain words
What is it for?
Use it when editing FastVideo's GPU CI configuration, Buildkite pipeline, Slurm job lanes, lane scripts, or related architecture documentation.
Why use it?
It prevents changes from breaking the required test layout, trusted execution path, or rules for submitting jobs. It also clarifies which old files must remain inactive.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md.

About the project

FastVideo is a framework for training and running accelerated video-generation models, including real-time inference and post-training workflows. It is for researchers and developers building or deploying diffusion-based systems that generate video.

hao-ai-lab/FastVideo · 4,332 stars · on GitHub · hao-ai-lab.github.io

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.

agentmods
npx agentmods add skills/hao-ai-lab/fastvideo/ci-runner
Any agent
npx skills add hao-ai-lab/FastVideo --skill ci-runner
Clone the repo
git clone --depth 1 https://github.com/hao-ai-lab/FastVideo

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 ci-runner

README.md
[![agentmods](https://agentmods.dev/badge/skills/hao-ai-lab/fastvideo/ci-runner.svg)](https://agentmods.dev/skills/hao-ai-lab/fastvideo/ci-runner)
Your own site
<a href="https://agentmods.dev/skills/hao-ai-lab/fastvideo/ci-runner"><img src="https://agentmods.dev/badge/skills/hao-ai-lab/fastvideo/ci-runner.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,351 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00038 $0.01351
Opus 5 $0.00019 $0.00675
Sonnet 5 $0.00008 $0.00270
Haiku 4.5 $0.00004 $0.00135

Measured 6d ago against content hash 4d59667bee0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

ci-runner 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 6d 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/skills/ci-runner/SKILL.md · 100 lines

How it starts

The opening of the file, as written. The whole thing — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Slinky Slurm CI lanes

FastVideo's ci-runner Buildkite queue is the control plane for all active GPU CI. A private host-owned dispatcher leases GPUs from the Slinky Slurm tray and runs the immutable PR SHA inside an isolated Enroot container. Buildkite pipeline upload and Slurm submission occur on the login plane; every test payload executes on Slurm compute.

The files under fastvideo/tests/modal/ and .buildkite/scripts/pr_test.sh are dormant rollback code. Never add an active Buildkite or slash-command route to them. pr_test.sh must continue to reject Buildkite invocations.

The private operator bundle is deliberately outside this repository because it contains site paths and credentials. See docs/contributing/ci_architecture.md; this skill covers the repository half and the coordination contract with that bundle.

Invariants

  • .buildkite/pipeline.yml contains exactly one static step for every active GPU lane. Each step pins a unique key and label, a 90-minute timeout, the trusted /opt/fastvideo-ci-runner/run-ci command (run-unit is the one compatibility wrapper), step-level internal TEST_TYPE, and queue: "ci-runner".
  • Active CI contains no pr_test.sh command, Modal invocation, default queue, Buildkite plugin, soft_fail, or job-controlled artifact glob.
  • The six Fastcheck lanes use :microscope: labels. Full-Suite-only lanes use :test_tube: or :bar_chart: so direct reruns update the right aggregate.
  • SSIM and vanilla training request all four GPUs. Keep both in the fastvideo/slinky/whole-tray Buildkite concurrency group with a limit of one so the second job does not consume an agent or command timeout while waiting for the same tray.
  • /test full schedules all twenty lanes. /merge, ready, and new pushes to ready PRs use the trusted base-branch planner in .github/scripts/plan_merge_ci.py: automatic Fastcheck remains the universal six-lane baseline, and the merge build adds only path-relevant integration lanes. Unknown source/build paths fail closed to all fourteen additive lanes. The trusted uploader still normalizes and validates the complete static graph before Buildkite evaluates its plan conditions.
  • Focused merge builds may pass allowlisted golden-gate and SSIM test basenames. The private host validates the lane plan and basenames before staging them, and the in-container scripts validate them again. Direct /test ssim, explicit /test full, and the weekly main-branch schedule run the complete SSIM matrix.
  • The trusted uploader serves exactly three entry pipelines: pr-fastcheck for automatic PR builds, ci for slash-command/ready-label API builds, and fastvideo-performance-lane for the weekly schedule. Keep incoming GitHub webhook processing disabled on ci so it cannot duplicate pr-fastcheck on every PR update.
  • Test payloads live in .buildkite/scripts/unit_test.sh or executable .buildkite/scripts/lanes/<lane>.sh. Backend policy (GPU count, extras, secrets, kernel build, artifacts) stays in the agent-owned lane table.
  • Tests must preserve an inherited MASTER_PORT. Packed containers share the tray network namespace, so the private runner assigns a distinct port range per GPU lease and the SSIM scheduler assigns task offsets within its range.
  • The ARM64 runner image includes the pinned FA4 CuTe overlay validated on GB200. Keep SSIM at FASTVIDEO_FA4=1 because its references were seeded with FA4; keep lanes with FA2 baselines at FASTVIDEO_FA4=0. A runner image change must revalidate both the FA4 import and an actual GB200 forward kernel.
  • fastvideo/tests/ssim/ci_runner.py is the active four-GPU SSIM scheduler. New SSIM files are discovered through REQUIRED_GPUS and *_MODEL_TO_PARAMS; do not wire them through the dormant Modal scheduler.
  • The host policy fail-closes unknown tuples. A repository-side lane change is inert until the operator updates the private lane table and uploader policy in the same rollout.

Read the full file on GitHub · 100 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. 6d ago First seen · 100 lines · 38 tokens per session scan A 4d59667bee0f

Subscribe to this mod's changes

ci-runner is a skill published in the GitHub repository hao-ai-lab/FastVideo (4,332 stars, last pushed today), licensed Apache-2.0. It adds 38 tokens to every session and 1,351 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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