Is this skill specific to quantitative research?

While developed for the quant-lab workstation, its phased execution logic can be applied to any development environment requiring autonomous multi-step task completion.

When will the skill pause its autonomous execution?

Execution only pauses if Claude is blocked by missing information or if a command fails in a way that cannot be resolved autonomously.

How does this skill ensure code safety?

It strictly respects .agentignore files, performs safety validations, and follows repo-specific QUALITY_GATES.md and TDD patterns to ensure all changes meet project standards.

What is the main benefit of the Full Auth skill?

It allows Claude to complete complex tasks end-to-end without stopping to ask for permission at every step, significantly reducing the time spent on manual oversight.

What kind of output does the Full Auth skill provide?

It provides investigation notes, a multi-phase execution plan, a commit-style implementation narrative, and a final list of all modified files with their verification results.

Full Authorization Execution

Name: Full Authorization Execution
Author: CheekyCodexConjurer

byCheekyCodexConjurer

0•

Productivity & Workflow

Automates end-to-end task completion through phased planning and autonomous execution without mid-process interruptions.

The Full Auth skill empowers Claude to operate with high autonomy by executing complex, multi-stage tasks in a single run once initial permission is granted. Designed for the AERA quantitative research workstation, it generates a comprehensive phased plan and proceeds through implementation, verification, and quality checks without pausing for confirmation. This significantly accelerates development cycles by handling repo-wide changes, testing, and documentation autonomously while adhering to strict safety guardrails and quality gates.

Key Features

01End-to-end autonomous task execution without manual confirmation prompts

02Autonomous error resolution and quality gate enforcement

03Automated multi-phase implementation planning and sequential execution

04Detailed implementation narrative and action ledger generation

050 GitHub stars

06Integrated safety validation and .agentignore compliance

Use Cases

01Executing complex backtesting suites that require sequential setup, run, and analysis

02Performing large-scale code refactors across multiple modules in a quantitative research repo

03Automating the end-to-end creation and verification of new research components

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add cheekycodexconjurer/quant-lab full_auth

For use in Claude.ai and ChatGPT

Download Skill