Agent skill

Pipeline

by spytensor in spytensor/openmozi

Full development pipeline: create GitHub issue, plan, implement with agent team, verify (build+test), commit, push, close issue.

MITAuto-check passed

Install Pipeline

skills CLI
$ npx skills add spytensor/openmozi --skill pipeline -a claude-code

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

GitHub CLI
$ gh skill install spytensor/openmozi pipeline --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/spytensor/openmozi.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/pipeline .claude/skills/pipeline && 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
pipeline
GitHub stars
439
Token cost
~549 tokens
SKILL.md length
225 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Full development pipeline: create GitHub issue, plan, implement with agent team, verify (build+test), commit, push, close issue.

  • Works in 8 steps: Create GitHub Issue → Plan → Build Agent Team & Implement → …
  • You need to implement a feature
  • Calls git, gh and pnpm

What it does

Pipeline is an agent skill from spytensor/openmozi. Full development pipeline: create GitHub issue, plan, implement with agent team, verify (build+test), commit, push, close issue. Use when you need to implement a feature or fix end-to-end.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with GitHub. The repository describes itself as: A custom Agent OS built to be hackable, heavily inspired by OpenClaw. The licence is MIT.

When your agent uses it

  • You need to implement a feature

Example prompts

  • “/pipeline”

Workflow steps

8 steps, taken from the step headings in SKILL.md.

  1. Create GitHub Issue
  2. Plan
  3. Build Agent Team & Implement
  4. Review
  5. Verify
  6. Commit & Push
  7. Close Issue
  8. Cleanup

What it can do on your machine

Read from SKILL.md and the folder at commit ac46df0. 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

    Shell commands in SKILL.md call:

    • git
    • gh
    • pnpm

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

  • Network

    No URLs in SKILL.md. Its commands use git, gh and pnpm, which can reach the network depending on how they are called.

    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

Pipeline loads about 549 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 225 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~549

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 spytensor/openmozi at commit ac46df0, republished under its MIT licence (© spytensor). 225 words, ~549 tokens.

Download SKILL.mdSave it as .claude/skills/pipeline/SKILL.md (or your agent's skills folder).
name
pipeline
description
Full development pipeline: create GitHub issue, plan, implement with agent team, verify (build+test), commit, push, close issue. Use when you need to implement a feature or fix end-to-end.
disable-model-invocation
true

Development Pipeline

Automate the full development lifecycle for a feature or fix described by $ARGUMENTS.

Workflow

Execute these steps in order. Stop and report if any step fails.

Step 1: Create GitHub Issue
bash
gh issue create --title "<concise title from $ARGUMENTS>" --body "<detailed description>"

Parse the returned URL to extract the issue number. Print it.

Step 2: Plan
  • Research the codebase to understand what files need changing
  • Design the implementation approach
  • Identify all files to modify/create
  • Write the plan to a file at .claude/plans/<issue-number>.md
Step 3: Build Agent Team & Implement
  • Use TeamCreate to create a team named after the issue
  • Break the plan into independent tasks using TaskCreate
  • Spawn agents in parallel using the Task tool with team_name parameter:
    • Each agent handles one task (one file or one concern)
    • Use subagent_type: "general-purpose" with mode: "bypassPermissions"
    • Run agents in background when possible
  • Wait for all agents to complete by checking TaskList
Step 4: Review
  • Read the modified files to verify changes are correct
  • Check for obvious issues, missing imports, type errors
Step 5: Verify

Run build and tests:

bash
pnpm build
pnpm test

If build or tests fail:

  1. Read the error output
  2. Fix the issues directly
  3. Re-run verification
  4. Repeat until passing
Step 6: Commit & Push
bash
git add <changed files>
git commit -m "feat: <description> (#<issue-number>)

Co-authored-by: Mozi <MoziAI-co@users.noreply.github.com>"
git push origin main
Step 7: Close Issue
bash
gh issue close <issue-number> --comment "Implemented in <commit-hash>."
Step 8: Cleanup
  • Shut down all team agents via SendMessage with type: "shutdown_request"
  • Delete the team via TeamDelete
  • Report final summary: issue number, commit hash, files changed, test results

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

Files

Just SKILL.md in .claude/skills/pipeline of spytensor/openmozi.

Open the folder on GitHubat commit ac46df0

Compare with similar skills

Pipeline 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.

Pipeline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Pipeline this skillspytensor/openmozi439—~549Automated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Diagnosing Superpowers Sessionsobra/superpowers296k3 repos~1.7kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

Similar skills

  • PR Babysitter

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    69k GitHub starsUsed in 3 repos~4.2k tokens
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  • Investigates a session where Superpowers went wrong, reads the transcripts on disk and produces an evidence-cited report, optionally prepared as a bug report for the maintainers.

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  • GitHub Deep Research

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    Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.

    83k GitHub starsUsed in 5 repos~1.3k tokens
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  • Greploop

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    Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.

    32k GitHub starsUsed in 4 repos~3.3k tokens
    DevelopmentAuto-check passed
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    69k GitHub starsUsed in 2 repos~845 tokens
    DevOps & CloudAuto-check passed
  • Check PR

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    Checks a GitHub, GitLab, or Perforce (p4) pull request (or merge request, or shelved changelist) for unresolved review comments, failing status checks, and incomplete PR descriptions.

    32k GitHub starsUsed in 2 repos~2.3k tokens
    DevelopmentAuto-check passed

More from spytensor/openmozi

All 13 skills in this repo
  • Commit

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    Smart commit: bump version, find related issues, commit with Co-authored-by, push.

    439 GitHub stars~480 tokensUpdated 2 mo ago
    Auto-check passed
  • Skill Authoring

    spytensor/openmozi

    How to install a skill package a user hands over (.skill/.zip/.tar.gz), and how to write a new skill into this runtime so it is listed, enabled and usable.

    439 GitHub stars~1.3k tokensUpdated 2 mo ago
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  • Coding Agent

    spytensor/openmozi

    Structured coding workflow: read, plan, implement, test, verify

    439 GitHub stars~723 tokensUpdated 2 mo ago
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  • Research Workflow

    spytensor/openmozi

    Structured research workflow: decompose the question, search in parallel, cross-verify sources, synthesize with citations.

    439 GitHub stars~594 tokensUpdated 2 mo ago
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  • Self Ops

    spytensor/openmozi

    Runtime self-diagnosis knowledge: database layout, observability APIs, timeout hierarchy, restart procedure, failure replay.

    439 GitHub stars~767 tokensUpdated 2 mo ago
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  • Creative Writing

    spytensor/openmozi

    Creative content workflow: brief, research, outline, draft, refine.

    439 GitHub stars~373 tokensUpdated 2 mo ago
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Works with

Questions about Pipeline

What does Pipeline do?

Full development pipeline: create GitHub issue, plan, implement with agent team, verify (build+test), commit, push, close issue. Pipeline is an agent skill from spytensor/openmozi. Full development pipeline: create GitHub issue, plan, implement with agent team, verify (build+test), commit, push, close issue.

When should I use Pipeline?

Pipeline fits situations like: you need to implement a feature.

How do I install Pipeline in Claude Code?

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

How do I install Pipeline in Codex?

Run `npx skills add spytensor/openmozi --skill pipeline -a codex`. Or copy the skill folder (.claude/skills/pipeline in spytensor/openmozi) into .agents/skills/pipeline in your project. Codex loads it when a task matches its description.

Can I use Pipeline 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 spytensor/openmozi --skill pipeline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pipeline, .gemini/skills/pipeline, .github/skills/pipeline and .opencode/skills/pipeline in your project.

What does Pipeline need to run?

Going by SKILL.md and its folder, Pipeline needs the command-line tools its instructions call (git, gh and pnpm).

Does Pipeline access the network?

SKILL.md contains no URLs. Its commands use git and gh, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Pipeline 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 Pipeline use?

Pipeline 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 Pipeline use?

About 549 tokens (SKILL.md is roughly 2.2k 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 Pipeline?

Skills that share tags, products or a category with Pipeline: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Pipeline?

spytensor (a GitHub user) maintains it in spytensor/openmozi, which has 439 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 7, 2026.

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