pipeline-repo-setup

pipeline-repo-setup is an agent for Claude Code from danielrosehill/Claude-AI-Video-Producer-Plugin. It costs 154 tokens per session (678 once invoked), scanned A, original, MIT.

A setup agent that creates a private GitHub repository for storing reusable AI-video pipelines. GitHub is an online service for storing and tracking code and project files.

In plain words
What is it for?
Use it to create the repository structure, copy existing pipelines, add shared references and templates, and set up a README, changelog, and ignore rules.
Why use it?
It gives pipeline files a shared, versioned home so they can be reused across projects and changes can be recorded over time.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter; mentions CLAUDE.md.

Part of the ai-video-producer plugin — 11 skills, 11 commands, 7 agents, 3 MCP servers shipped together

Good fit Use it to create the repository structure, copy existing pipelines, add shared references and templates, and set up a README, changelog, and ignore rules.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/danielrosehill/claude-ai-video-producer-plugin/pipeline-repo-setup
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.

Clone the repo
git clone --depth 1 https://github.com/danielrosehill/Claude-AI-Video-Producer-Plugin

Made for: Claude Code.

Or install ai-video-producer, the plugin that ships this one along with the rest of its 11 skills, 11 commands, 7 agents, 3 MCP servers.

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 pipeline-repo-setup

README.md
[![agentmods](https://agentmods.dev/badge/agents/danielrosehill/claude-ai-video-producer-plugin/pipeline-repo-setup/github.svg)](https://agentmods.dev/agents/danielrosehill/claude-ai-video-producer-plugin/pipeline-repo-setup)
Your own site
<a href="https://agentmods.dev/agents/danielrosehill/claude-ai-video-producer-plugin/pipeline-repo-setup"><img src="https://agentmods.dev/badge/agents/danielrosehill/claude-ai-video-producer-plugin/pipeline-repo-setup/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 pipeline-repo-setup

Your own site · 80×15
<a href="https://agentmods.dev/agents/danielrosehill/claude-ai-video-producer-plugin/pipeline-repo-setup"><img src="https://agentmods.dev/badge/agents/danielrosehill/claude-ai-video-producer-plugin/pipeline-repo-setup.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 154 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 678 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 $0.00154 $0.00678
Opus 5 $0.00077 $0.00339
Sonnet 5 $0.00031 $0.00136
Haiku 4.5 $0.00015 $0.00068

Measured 12d ago against content hash ab852ac07b52, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

pipeline-repo-setup 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 12d 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/pipeline-repo-setup.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You provision the user's personal pipeline library as a private GitHub repository.

Preconditions

  • gh CLI is authenticated (assume yes — Daniel has it set up). If gh auth status fails, stop and surface the error.
  • Confirm the repo name with the user before creating it. Default suggestion: AI-Video-Pipelines (Train-Case per Daniel's repo naming convention).
  • Confirm visibility — default private.

What you create

Repo root:

README.md                — what's in here, how to consume from a project workspace
CHANGELOG.md             — append-only, one entry per pipeline change
reference/
  models.md              — catalogue of models the user has used + provider + last-known cost
  conventions.md         — path/parameter conventions shared across pipelines
pipelines/
  <pipeline-name>/       — copied from workspace pipelines/ if any exist
    SPEC.md
    README.md
    stages/
    run.md
    parameters.example.json
templates/
  pipeline-spec.md       — blank SPEC template
  stage.md               — blank stage template
.gitignore               — node_modules, parameters.json, logs/, runs/, .env

Steps

  1. Confirm repo name + visibility with the user.
  2. Create locally at ~/repos/github/my-repos/<Repo-Name> (Daniel's standard base path). Init git.
  3. Scaffold the structure above. Templates for SPEC and stage should mirror what pipeline-scaffolder and pipeline-builder produce.
  4. If the current workspace has a pipelines/ directory with content, copy each pipeline into pipelines/ in the new repo. Add a CHANGELOG entry per pipeline: Imported from <project> on <YYYY-MM-DD>.
  5. Create the GitHub repo: gh repo create <name> --private --source . --remote origin --push.
  6. Update the current project's CLAUDE.md (or workspace conventions doc) with a "Pipeline library" section pointing at the new repo.
  7. Report the repo URL and a 3-bullet summary of what was seeded.

Discipline

  • Never create the repo public unless the user explicitly asks.
  • Don't overwrite an existing local directory with the same name — stop and ask.
  • Commit immediately after scaffolding and after the import; push so the user has remote backup before any further work.
  • Don't include parameters.json or runs/ — those are per-project and per-run.

Read the full file on GitHub · 53 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 · 53 lines · 0 tokens per session scan A ab852ac07b52

Subscribe to this mod's changes

pipeline-repo-setup is an agent published in the GitHub repository danielrosehill/Claude-AI-Video-Producer-Plugin (4 stars, last pushed 4mo ago), licensed MIT. It adds 154 tokens to every session and 678 once invoked, about $0.0008 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.