Agent skill

Homerail Dag Ops

by xiaotianfotos in xiaotianfotos/homerail

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

Install Homerail Dag Ops

skills CLI

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

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

GitHub CLI

$ gh skill install xiaotianfotos/homerail homerail-dag-ops --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-ops .claude/skills/homerail-dag-ops && 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/

Paste into Claude Code

Install the "homerail-dag-ops" agent skill from https://github.com/xiaotianfotos/homerail/tree/main/skills/homerail-dag-ops into .claude/skills/homerail-dag-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homerail-dag-ops", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/xiaotianfotos/homerail/tree/main/skills/homerail-dag-ops

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add xiaotianfotos/homerail --skill homerail-dag-ops -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install xiaotianfotos/homerail homerail-dag-ops --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "homerail-dag-ops" agent skill from https://github.com/xiaotianfotos/homerail/tree/main/skills/homerail-dag-ops into .agents/skills/homerail-dag-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homerail-dag-ops", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add xiaotianfotos/homerail --skill homerail-dag-ops -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install xiaotianfotos/homerail homerail-dag-ops --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "homerail-dag-ops" agent skill from https://github.com/xiaotianfotos/homerail/tree/main/skills/homerail-dag-ops into .cursor/skills/homerail-dag-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homerail-dag-ops", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/xiaotianfotos/homerail.git --path skills/homerail-dag-ops

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add xiaotianfotos/homerail --skill homerail-dag-ops -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install xiaotianfotos/homerail homerail-dag-ops --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "homerail-dag-ops" agent skill from https://github.com/xiaotianfotos/homerail/tree/main/skills/homerail-dag-ops into .gemini/skills/homerail-dag-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homerail-dag-ops", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install xiaotianfotos/homerail homerail-dag-ops

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add xiaotianfotos/homerail --skill homerail-dag-ops -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

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

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "homerail-dag-ops" agent skill from https://github.com/xiaotianfotos/homerail/tree/main/skills/homerail-dag-ops into .github/skills/homerail-dag-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homerail-dag-ops", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add xiaotianfotos/homerail --skill homerail-dag-ops -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install xiaotianfotos/homerail homerail-dag-ops --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "homerail-dag-ops" agent skill from https://github.com/xiaotianfotos/homerail/tree/main/skills/homerail-dag-ops into .opencode/skills/homerail-dag-ops/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "homerail-dag-ops", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: homerail-dag-ops
GitHub stars: 994
Token cost: ~1.5k tokens
SKILL.md length: 729 words
Files: 15 (incl. scripts, references)
Skills in repo: 11
Repo updated: Sep 25, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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

Works in 5 steps: Establish the output, source… → Resolve the existing CLI and Manager… → Use hr --json templates list, or inspect… → …
Project work delegated to a DAG
SKILL.md covers Choose the next action, Start once and Wait, decide, and finish
Runs Python and JavaScript scripts from its folder; calls node

What it does

Homerail Dag Ops is an agent skill from xiaotianfotos/homerail. Design, start, supervise, inspect, and continue HomeRail DAG workflows from any agent with CLI or HTTP access. Use for project work delegated to a DAG, workflow patterns, existing-run results, approval/Actor follow-ups, live panels, and background event callbacks. Handles the full run lifecycle with event-driven waiting instead of repeated model polling.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/acceptance.md` and `references/architecture.md`).

It sits in Backend & APIs, covering Event-driven systems. The repository describes itself as: Voice-first local agent orchestration runtime for auditable DAG workflows. The licence is MIT.

When your agent uses it

Project work delegated to a DAG
Workflow patterns
Existing-run results
Approval/Actor follow-ups

Example prompts

“/homerail-dag-ops”

Requirements

Python 3
Node.js

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

Establish the output, source revision/inputs, permitted changes, budget, and
Resolve the existing CLI and Manager origin. Use hr doctor for readiness;
Use hr --json templates list, or inspect a known database workflow. Read
Give Workers reachable inputs. Container Workers do not automatically see
For a new/changed workflow, inspect hr dag schema, validate with `hr --json

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
Ships 5 files in scripts/ (Python and JavaScript), which the agent can run.
Shell commands in SKILL.md call:
- node
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 Ops loads about 1.5k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 93 tokens; SKILL.md has 729 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~93
When it runs · the whole SKILL.md, loaded when a task matches: ~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~12k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from xiaotianfotos/homerail at commit 916e343, republished under its MIT licence (© xiaotianfotos). 729 words, ~1,533 tokens.

Download SKILL.mdSave it as .claude/skills/homerail-dag-ops/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.

name: homerail-dag-ops
description: Design, start, supervise, inspect, and continue HomeRail DAG workflows from any agent with CLI or HTTP access. Use for project work delegated to a DAG, workflow patterns, existing-run results, approval/Actor follow-ups, live panels, and background event callbacks. Handles the full run lifecycle with event-driven waiting instead of repeated model polling.

HomeRail DAG

Use one workflow: define outputs → choose/validate a DAG → start once → wait outside the model → handle decisions → verify evidence. Running and supervising are stages of the same task. Load only the reference needed for the current stage; do not load every HomeRail skill before starting.

Choose the next action

Request or current state	Action
New project work	Use the start path below; reuse a workflow/profile.
New topology or a reusable pattern	Read patterns.md; inspect the live schema/catalog.
Active run requiring event-driven waiting	Read supervision.md; use the current host’s blocking event tool or a verified optional adapter.
`[homerail-dag-event ...]` callback, including the former supervision skill name	Follow event consumption in supervision.md.
Requested status, results, or diagnosis	Read inspection.md; inspect only relevant evidence.
Live Actor panels or a later per-Actor command	Read multi-actor-surfaces.md.

The old homerail-dag-patterns entry remains for compatibility. Its content lives in this skill's references; it is not a prerequisite skill to load.

Start once

Establish the output, source revision/inputs, permitted changes, budget, and acceptance evidence. If unattended supervision is needed, confirm the host can await a tool/event or receive a callback before starting the run. If a run ID already exists, inspect that run first.
Resolve the existing CLI and Manager origin. Use hr doctor for readiness; use hr runtime status if diagnosis is needed. If hr is absent but HOMERAIL_CLI_ENTRYPOINT is set, use node "$HOMERAIL_CLI_ENTRYPOINT". Do not rebuild or restart a ready installation for an ordinary DAG run. Use homerail-install-ops only for an actual installation/service task.
Use hr --json templates list, or inspect a known database workflow. Read its input contract. Resolve template files from the verified HomeRail source or Manager catalog; assets/... is not relative to an arbitrary project.
Give Workers reachable inputs. Container Workers do not automatically see host paths: supply a cloneable repository URL and pinned revision, or the workflow's supported workspace/input mechanism. Keep input identity shared across nodes and verify access from the executing environment.
For a new/changed workflow, inspect hr dag schema, validate with hr --json dag validate <file>, then sync. Bind database LLM settings through a runtime profile; keep provider/model credentials out of workflow YAML.

bash

# Existing database workflow and runtime profile
hr run --workflow <workflow-id> --profile <profile-id> --prompt "<task and inputs>"

# Alternatively: a concrete template with its actual input contract
hr run <verified-template-path> --prompt "<task and inputs>"

Template-embedded profiles and database profiles differ: use --workflow for a DB profile or the documented sync flow. Check local help for unfamiliar flags. Record the returned run ID, workflow revision/hash, inputs and acceptance criteria in a private receipt. If submission has an unknown outcome, reconcile existing runs; do not blindly create a replacement.

In the Manager Agent, available tools such as list_orchestrations, create_and_run, invoke_run, get_run_status, get_dag_schema, and validate_dag_workflow are shortcuts for covered operations. Use structured CLI output for the rest. Any agent may use these CLI/HTTP contracts; no particular supervisor model, SDK or harness is required. Do not launch another agent or model merely to subscribe to or consume events.

Show full SKILL.md (261 more words)Show less

Wait, decide, and finish

The default bundled path is register → wait → handle the returned event → ack. Registration persists identity; wait blocks in ordinary code and returns one actionable JSON event. Let the host await that tool instead of repeatedly invoking the model. Registration alone does not start a background observer.

If the host provides native event subscriptions, use its equivalent mechanism. An optional callback adapter can deliver the same JSON into a persistent host session. End the model turn after registration only when that continuing event path is verified. A plain skill cannot force a host to suspend, steer or resume an agent. If the host lacks event/tool continuation, explain that limitation; do not claim automatic wakeup or substitute a Codex executor.

Routine progress stays quiet. hr dag watch/supervise remain optional foreground inspection tools, not a model polling loop. A requested snapshot needs no new watcher.

On a callback, verify the single event and current run identity, handle the current condition, record the finding/action intent, and acknowledge consumption. An ACK does not approve a proposal or end a waiting DAG. Let the human decide approval nodes. Reconcile ambiguous mutation outcomes before retrying.

Check terminal status and relevant artifacts/handoffs against the original acceptance criteria. A completed pipeline or passing advisory scorecard alone is not proof of useful output. See inspection.md. End the turn when nothing actionable remains.

Keep secrets in existing Manager configuration/encrypted storage, never in prompts, templates, receipts or commits. Keep deployment and disruptive runtime changes within the user's authorized scope. For HomeRail self-development read architecture.md; for skill changes read acceptance.md.

Files

SKILL.md and 14 other files (scripts, references) in skills/homerail-dag-ops of xiaotianfotos/homerail.

SKILL.md
.gitignore
agents/openai.yaml
references/acceptance.md
references/architecture.md
references/inspection.md
references/listener.md
references/multi-actor-surfaces.md
references/patterns.md
references/supervision.md
scripts/check_integration.py
scripts/dag_subscription.py
scripts/manager_fixture.mjs
scripts/storage.py
scripts/test_dag_subscription.py

Open the folder on GitHubat commit 916e343

Compare with similar skills

Homerail Dag Ops 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 Ops compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Homerail Dag Ops this skillxiaotianfotos/homerail	994	—	~1.5k	Automated safety check: Pass	MIT	15 days ago
Stripe Projectsfossasia/eventyay	1.7k	5 repos	~2k	Automated safety check: Notes	Apache-2.0	today
MQTTX CLIemqx/MQTTX	5.1k	—	~1.9k	Automated safety check: Pass	Apache-2.0	yesterday
AWS Serverless Edazxkane/aws-skills	367	4 repos	~3.2k	Automated safety check: Pass	MIT	3 mo ago
Windmill Trigger Type Checklistwindmill-labs/windmill	18k	—	~4.7k	Automated safety check: Pass	Custom licence	today
FoundatioFoundatioFx/Foundatio	2.1k	—	~3.9k	Automated safety check: Pass	Apache-2.0	2 days ago

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Questions about Homerail Dag Ops

What does Homerail Dag Ops do?

Design, start, supervise, inspect, and continue HomeRail DAG workflows from any agent with CLI or HTTP access. Homerail Dag Ops is an agent skill from xiaotianfotos/homerail. Design, start, supervise, inspect, and continue HomeRail DAG workflows from any agent with CLI or HTTP access.

When should I use Homerail Dag Ops?

Homerail Dag Ops fits situations like: project work delegated to a DAG; workflow patterns; existing-run results; approval/Actor follow-ups.

How do I install Homerail Dag Ops in Claude Code?

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

How do I install Homerail Dag Ops in Codex?

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

Can I use Homerail Dag Ops 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-ops -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-ops, .gemini/skills/homerail-dag-ops, .github/skills/homerail-dag-ops and .opencode/skills/homerail-dag-ops in your project.

What does Homerail Dag Ops need to run?

Going by SKILL.md and its folder, Homerail Dag Ops needs Python and JavaScript for the scripts in its folder and the command-line tools its instructions call (node). Our summary lists: Python 3; Node.js.

Does Homerail Dag Ops 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 Ops 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Homerail Dag Ops use?

Homerail Dag Ops 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 Ops use?

About 1.5k tokens (SKILL.md is roughly 6.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 10k tokens, read only when the agent opens those files.

What are the alternatives to Homerail Dag Ops?

Skills that share tags, products or a category with Homerail Dag Ops: Stripe Projects (fossasia/eventyay, 1.7k stars), MQTTX CLI (emqx/MQTTX, 5.1k stars), AWS Serverless Eda (zxkane/aws-skills, 367 stars) and Windmill Trigger Type Checklist (windmill-labs/windmill, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Homerail Dag Ops?

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.

Install Homerail Dag Ops

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

HomeRail DAG

Choose the next action

Start once

Wait, decide, and finish

Files

Compare with similar skills

Similar skills

More from xiaotianfotos/homerail

Related

Questions about Homerail Dag Ops