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Agent skill

Homerail Dag Patterns

by xiaotianfotos in xiaotianfotos/homerail

Compatibility entry for callers that already refer to HomeRail DAG Patterns.

MITAuto-check passed

Install Homerail Dag Patterns

skills CLI
$ npx skills add xiaotianfotos/homerail --skill homerail-dag-patterns -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install xiaotianfotos/homerail homerail-dag-patterns --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/xiaotianfotos/homerail.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/homerail-dag-patterns .claude/skills/homerail-dag-patterns && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
homerail-dag-patterns
GitHub stars
994
Token cost
~149 tokens
SKILL.md length
44 words
Files
2
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Compatibility entry for callers that already refer to HomeRail DAG Patterns.

  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Homerail Dag Patterns is an agent skill from xiaotianfotos/homerail. Compatibility entry for callers that already refer to HomeRail DAG Patterns. New DAG design, execution, supervision, and inspection tasks use homerail-dag-ops.

Its SKILL.md is about 150 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: Voice-first local agent orchestration runtime for auditable DAG workflows. The licence is MIT.

Example prompts

  • “/homerail-dag-patterns”

What it can do on your machine

Read from SKILL.md and the folder at commit 916e343. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Homerail Dag Patterns loads about 149 tokens when it runs. Until then it costs about 45 tokens; SKILL.md has 44 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~149

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from xiaotianfotos/homerail at commit 916e343, republished under its MIT licence (© xiaotianfotos). 44 words, ~149 tokens.

Download SKILL.mdSave it as .claude/skills/homerail-dag-patterns/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
homerail-dag-patterns
description
Compatibility entry for callers that already refer to HomeRail DAG Patterns. New DAG design, execution, supervision, and inspection tasks use homerail-dag-ops.

HomeRail DAG Patterns

Use the unified HomeRail DAG skill. For pattern selection, composition, gateway semantics, and validation, read its pattern reference.

This entry preserves existing skill IDs. It defines no separate execution or monitoring workflow and is not needed for a new Codex installation.

© xiaotianfotos, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/homerail-dag-patterns of xiaotianfotos/homerail.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit 916e343

Compare with similar skills

Homerail Dag Patterns next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Homerail Dag Patterns compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Homerail Dag Patterns this skillxiaotianfotos/homerail994—~149Automated safety check: PassMIT
DAG Librarycode-yeongyu/oh-my-openagent70k—~1.1kAutomated safety check: PassCustom licence
Makepad Referencesickn33/agentic-awesome-skills47k2 repos~573Automated safety check: PassMIT
Changelog Entrysickn33/agentic-awesome-skills47k1 repos~1.1kAutomated safety check: PassMIT
Write API Referencevercel/next.js143k—~2.2kAutomated safety check: PassMIT
Reference List Builderdavila7/claude-code-templates33k2 repos~2.1kAutomated safety check: PassMIT

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More from xiaotianfotos/homerail

All 11 skills in this repo

  • Homerail Dag Ops

    xiaotianfotos/homerail

    Design, start, supervise, inspect, and continue HomeRail DAG workflows from any agent with CLI or HTTP access.

    994 GitHub stars~1.5k tokensUpdated 15 days ago
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  • Voice Generative UI

    xiaotianfotos/homerail

    Design and maintain truthful HomeRail generative UI for voice or text.

    994 GitHub stars~3.8k tokensUpdated 15 days ago
    Auto-check passed

  • Homerail CLI

    xiaotianfotos/homerail

    HomeRail CLI syntax, flags, configuration, and command reference.

    994 GitHub stars~3.4k tokensUpdated 15 days ago
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  • Homerail Install Ops

    xiaotianfotos/homerail

    Install, configure, start, verify, update, and troubleshoot a local-source HomeRail deployment for AI-agent use.

    994 GitHub stars~2k tokensUpdated 15 days ago
    Auto-check passed

  • Homerail PR Review

    xiaotianfotos/homerail

    Run HomeRail's built-in read-only pull request review DAG. An agent skill from xiaotianfotos/homerail.

    994 GitHub stars~670 tokensUpdated 15 days ago
    Auto-check passed

  • Homerail Shared

    xiaotianfotos/homerail

    Shared HomeRail rules for AI agents operating the local-source release candidate: service roles, environment variables, secrets, provider boundaries, Docker callback networking, update expectations…

    994 GitHub stars~1.5k tokensUpdated 15 days ago
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Questions about Homerail Dag Patterns

What does Homerail Dag Patterns do?

Compatibility entry for callers that already refer to HomeRail DAG Patterns. Homerail Dag Patterns is an agent skill from xiaotianfotos/homerail. Compatibility entry for callers that already refer to HomeRail DAG Patterns.

How do I install Homerail Dag Patterns in Claude Code?

Run `npx skills add xiaotianfotos/homerail --skill homerail-dag-patterns -a claude-code`. Or copy the skill folder (skills/homerail-dag-patterns in xiaotianfotos/homerail) into .claude/skills/homerail-dag-patterns in your project. Claude Code loads it when a task matches its description.

How do I install Homerail Dag Patterns in Codex?

Run `npx skills add xiaotianfotos/homerail --skill homerail-dag-patterns -a codex`. Or copy the skill folder (skills/homerail-dag-patterns in xiaotianfotos/homerail) into .agents/skills/homerail-dag-patterns in your project. Codex loads it when a task matches its description.

Can I use Homerail Dag Patterns in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xiaotianfotos/homerail --skill homerail-dag-patterns -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/homerail-dag-patterns, .gemini/skills/homerail-dag-patterns, .github/skills/homerail-dag-patterns and .opencode/skills/homerail-dag-patterns in your project.

What does Homerail Dag Patterns need to run?

SKILL.md names no scripts, command-line tools or credentials: Homerail Dag Patterns is instructions for the agent only.

Does Homerail Dag Patterns access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Homerail Dag Patterns safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Homerail Dag Patterns use?

Homerail Dag Patterns is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Homerail Dag Patterns use?

About 149 tokens (SKILL.md is roughly 596 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Homerail Dag Patterns?

Skills that share tags, products or a category with Homerail Dag Patterns: DAG Library (code-yeongyu/oh-my-openagent, 70k stars), Makepad Reference (sickn33/agentic-awesome-skills, 47k stars), Changelog Entry (sickn33/agentic-awesome-skills, 47k stars) and Write API Reference (vercel/next.js, 143k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Homerail Dag Patterns?

xiaotianfotos (a GitHub user) maintains it in xiaotianfotos/homerail, which has 994 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on September 25, 2026.

Source: xiaotianfotos/homerail on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.