oh-my-githubcopilot: Skill for Claude Code

.github/skills/omg-autopilot/SKILL.md

omg-autopilot is a skill for Claude Code from jmstar85/oh-my-githubcopilot. It costs 52 tokens per session (1,284 once invoked), scanned A, a copy of omg-autopilot, MIT.

An autonomous software-building workflow for turning a product idea into working code through requirements analysis, design, planning, implementation, testing, and review.

In plain words
What is it for?
Use it for end-to-end builds, from clarifying a vague idea and creating a plan to implementing features, running quality checks, and validating the result.
Why use it?
It provides a structured path for broad requests where several development stages are needed and the user wants the work handled with minimal intervention.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

This is jmstar85/oh-my-githubcopilot's own configuration. It tells Claude Code how to work on oh-my-githubcopilot 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 oh-my-githubcopilot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jmstar85/oh-my-githubcopilot. 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/jmstar85/oh-my-githubcopilot/main/.github/skills/omg-autopilot/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jmstar85/oh-my-githubcopilot

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 omg-autopilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/jmstar85/oh-my-githubcopilot/omg-autopilot.svg)](https://agentmods.dev/skills/jmstar85/oh-my-githubcopilot/omg-autopilot)
Your own site
<a href="https://agentmods.dev/skills/jmstar85/oh-my-githubcopilot/omg-autopilot"><img src="https://agentmods.dev/badge/skills/jmstar85/oh-my-githubcopilot/omg-autopilot.svg" alt="Measured on agentmods" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,284 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 88% copy Near-identical to another mod 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 $0.00052 $0.01284
Opus 5 $0.00026 $0.00642
Sonnet 5 $0.00010 $0.00257
Haiku 4.5 $0.00005 $0.00128

Measured 7d ago against content hash cd25c156f249, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

omg-autopilot 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 7d 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.

Origin

This is a copy

88% identical to omg-autopilot — 71 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.github/skills/omg-autopilot/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

OMG Autopilot

OMG Autopilot takes a brief product idea and autonomously handles the full lifecycle: requirements analysis, technical design, planning, parallel implementation, QA cycling, and multi-perspective validation.

When to Use

  • User wants end-to-end autonomous execution from an idea to working code
  • Task requires multiple phases: planning, coding, testing, and validation
  • User wants hands-off execution

When NOT to Use

  • User wants to explore options → use /plan
  • Single focused code change → use /ralph or delegate to @executor
  • Quick fix or small bug → delegate directly to @executor

Interactive Hook Protocol

Use vscode_askQuestions at critical decision gates during autopilot execution (when available). If vscode_askQuestions is NOT available (e.g., Copilot CLI), present numbered options in markdown. Autopilot is designed to be mostly autonomous, but hooks fire at ambiguity points and failure recovery.

When to Fire Hooks

Trigger Point Question Type
Phase 0: Vague input Redirect to deep-interview or proceed with assumptions
Phase 0: Spec review Confirm extracted spec before planning
Phase 3: Repeated QA failure Ask user for direction on persistent errors
Phase 4: Validation rejection Surface reviewer concerns for user decision

Execution Pipeline

Phase 0 - Expansion

Turn the user's idea into a detailed spec.

  • If ralplan consensus plan exists (.omg/plans/ralplan-*.md): Skip Phase 0 AND Phase 1 → jump to Phase 2
  • If deep-interview spec exists (.omg/specs/deep-interview-*.md): Use pre-validated spec, skip to Phase 1
  • If input is vague: HOOK via vscode_askQuestions:
    header: "autopilot-vague-input"
    question: "Your request is broad. How should I proceed?"
    options: [
      { label: "Run /deep-interview first", description: "Thorough requirements gathering", recommended: true },
      { label: "Proceed with my best interpretation", description: "I'll extract requirements and show you for approval" },
      { label: "Let me clarify — here's more detail..." }
    ]
    allowFreeformInput: true
    
  • Otherwise: @analyst extracts requirements, @architect creates technical specification
  • HOOK: Spec confirmation before proceeding to planning:
    header: "autopilot-spec-review"
    question: "Here's what I understood: [1-line summary]. Proceed?"
    options: [
      { label: "Looks good — proceed", recommended: true },
      { label: "Mostly right, but adjust..." },
      { label: "Wrong direction — let me re-explain" }
    ]
    allowFreeformInput: true
    
  • Output: .omg/autopilot/spec.md
  • Track phase: omg_write_state(phase="expansion_done")

Read the full file on GitHub · 137 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. 7d ago First seen · 137 lines · 52 tokens per session scan A cd25c156f249

Subscribe to this mod's changes

omg-autopilot is a skill published in the GitHub repository jmstar85/oh-my-githubcopilot (154 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 1,284 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to omg-autopilot, differing in 71 lines, and is treated as a copy.

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