full_auth — community full_auth, quant-lab, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Advanced AI Agents requiring unrestricted file editing and autonomous task execution. AERA: local-first workstation for quantitative research, visualization, and backtesting.

CheekyCodexConjurer CheekyCodexConjurer
[0]
[0]
Updated: 3/5/2026

Agent Capability Analysis

The full_auth skill by CheekyCodexConjurer is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Advanced AI Agents requiring unrestricted file editing and autonomous task execution.

Core Value

Empowers agents to execute comprehensive content analysis end-to-end using AERA for quantitative research and visualization, with phased implementation plans and immediate execution of all phases, leveraging local-first workstations and backtesting capabilities.

Capabilities Granted for full_auth

Automating quantitative research workflows
Executing phased implementation plans for complex tasks
Performing comprehensive content analysis with AERA

! Prerequisites & Limits

  • Requires explicit user permission for file editing
  • Needs sufficient information to avoid blocking
  • Must be able to resolve command failures autonomously
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

full_auth

Install full_auth, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

Authorization

Use this skill only when the user explicitly grants permission to edit files and complete the task end-to-end without asking “should I continue?”.

Execution Mode

PHASED PLAN, ALL PHASES IN ONE RUN

  • Produce a phased implementation plan first (Phase 1/2/3…).
  • Immediately execute all phases in sequence in the same run, until Definition of Done is met.
  • Only pause if blocked by missing info or if a command fails and cannot be resolved autonomously.

Blocking Rule

If blocked, ask exactly one concise question that would unblock the work. Otherwise, keep going.

Definition of Done (generic)

  • Safety validation passes (respect .agentignore).
  • Use the best available repo verification:
    • Prefer .agent-docs/memory/COMMANDS.json and MANIFEST.yaml.
    • If missing, run capability/command detection and record confidence.
    • Run tests, lint, and build as applicable.
  • If QUALITY_GATES.md exists, follow it as the source of truth.
  • Provide a final summary and list all modified/created files.

Output Requirements

  1. Investigation notes (what matters in the repo).
  2. Phased plan (Phase 1/2/3… with files and behaviors).
  3. Implementation (commit-style narrative by phase).
  4. Files changed + verification results (commands run and outcomes).

Guardrails

  • Always respect .agentignore forbidden zones.
  • Enforce Trust Layer TDD for behavior changes.
  • Keep an Action Ledger entry for meaningful work.

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is full_auth?

Perfect for Advanced AI Agents requiring unrestricted file editing and autonomous task execution. AERA: local-first workstation for quantitative research, visualization, and backtesting.

How do I install full_auth?

Run the command: npx killer-skills add CheekyCodexConjurer/quant-lab/full_auth. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for full_auth?

Key use cases include: Automating quantitative research workflows, Executing phased implementation plans for complex tasks, Performing comprehensive content analysis with AERA.

Which IDEs are compatible with full_auth?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for full_auth?

Requires explicit user permission for file editing. Needs sufficient information to avoid blocking. Must be able to resolve command failures autonomously.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add CheekyCodexConjurer/quant-lab/full_auth. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use full_auth immediately in the current project.

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