openmozi: Skill for Claude Code

.claude/skills/pipeline/SKILL.md

pipeline is a skill for Claude Code from spytensor/openmozi. It costs 45 tokens per session (545 once invoked), scanned A, original, MIT.

A workflow for taking a software feature or bug fix from a GitHub issue through planning, implementation, checks, and delivery. GitHub is a service for hosting code and tracking work.

In plain words
What is it for?
Use it to handle an end-to-end feature or fix: create and plan the GitHub issue, split the work among coding agents, build and test the changes, commit and push them, then close the issue.
Why use it?
It keeps the steps of a development task together, so you do not have to remember to create the issue, coordinate implementation, run checks, commit the changes, and update the issue yourself.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

This is spytensor/openmozi's own configuration. It tells Claude Code how to work on openmozi itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything openmozi configures →

Reuse

Borrowing it

Nothing to install: this file belongs to spytensor/openmozi. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/spytensor/openmozi/main/.claude/skills/pipeline/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/spytensor/openmozi

Made for: Claude Code.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/spytensor/openmozi/pipeline/github.svg)](https://agentmods.dev/skills/spytensor/openmozi/pipeline)
Your own site
<a href="https://agentmods.dev/skills/spytensor/openmozi/pipeline"><img src="https://agentmods.dev/badge/skills/spytensor/openmozi/pipeline/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

Your own site · 80×15
<a href="https://agentmods.dev/skills/spytensor/openmozi/pipeline"><img src="https://agentmods.dev/badge/skills/spytensor/openmozi/pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 545 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00045 $0.00545
Opus 5.5 $0.00018 $0.00218
Sonnet 5.5 $0.00009 $0.00109
Haiku 4.5 $0.00005 $0.00055

Measured 2mo ago against content hash c3fffe4f35bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pipeline 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 2mo 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.

.claude/skills/pipeline/SKILL.md · 80 lines

What it actually says

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

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:

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

git add <changed files>
git commit -m "feat: <description> (#<issue-number>)

Co-authored-by: Mozi <[email protected]>"
git push origin main

Step 7: Close Issue

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
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. 2mo ago First seen · 80 lines · 45 tokens per session scan A c3fffe4f35bf

Subscribe to this mod's changes

pipeline is a skill published in the GitHub repository spytensor/openmozi (441 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 545 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

pipeline compared with skills from other repositories

pipeline next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
pipelinespytensor/openmoziSkill4413mo agoMITA45Claude Code
baby-sitlangchain-ai/open-sweSkill11kyesterdayMITA30Claude Code, Codex
pypi-releasealchemiststudiosDOTai/tunacodeSkill1251mo agoMITA52Claude Code, Codex
github-authStarryCod/cogitumSkill125mo agoMITA18Claude Code, Codex
github-repo-managementStarryCod/cogitumSkill125mo agoMITA17Claude Code, Codex
github-issuesStarryCod/cogitumSkill125mo agoMITC20Claude Code, Codex
github-pr-workflowStarryCod/cogitumSkill125mo agoMITD20Claude Code, Codex