vision

A project-starting guide that reads a vision document and turns its goals, users, scope, and constraints into structured requirements for architecture and planning.

In plain words
What is it for?
Use it to validate a project vision, identify the project’s type and scale, extract requirements, and save an analysis for architecture work.
Why use it?
It gives later technical decisions a clear summary of what the project is meant to achieve and how success will be judged.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/youglin-dev/aha-loop/vision
Any agent
npx skills add YougLin-dev/Aha-Loop --skill vision
Clone the repo
git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop

Made for: Claude Code, Codex.

Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,795 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00040 $0.01795
Opus 5 $0.00020 $0.00898
Sonnet 5 $0.00008 $0.00359
Haiku 4.5 $0.00004 $0.00179

Measured 2d ago against content hash d8eca0e1d9db, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vision 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 2d 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.

.agents/skills/vision/SKILL.md · 337 lines

How it starts

The opening of the file, as written. The whole thing — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Vision Analysis Skill

Parse the project vision document and extract structured requirements for architecture and planning.

Workspace Mode Note

When running in workspace mode, all paths are relative to .aha-loop/ directory:

  • Vision file: .aha-loop/project.vision.md
  • Analysis output: .aha-loop/project.vision-analysis.md

The orchestrator will provide the actual paths in the prompt context.


The Job

  1. Read project.vision.md from the project root
  2. Validate all required sections are present
  3. Extract and structure the requirements
  4. Identify project type and scale
  5. Output analysis to guide architecture decisions
  6. Save analysis to project.vision-analysis.md

Input: project.vision.md

The vision document should contain:

Required Sections

Section Purpose
What One-sentence description of the project
Why Motivation and problem being solved
Target Users Who will use this product
Success Criteria Measurable definition of success

Optional Sections

Section Purpose
Constraints Technical, budget, or time limitations
Inspirations Reference products or desired style
Non-Goals What the project explicitly won't do

Analysis Process

Step 1: Validate Vision Document

Check that project.vision.md exists and contains required sections:

## Validation Checklist
- [ ] What section present and clear
- [ ] Why section explains motivation
- [ ] Target Users defined
- [ ] Success Criteria are measurable

If sections are missing or unclear, document what's needed before proceeding.

Step 2: Identify Project Type

Classify the project:

Type Characteristics
CLI Tool Command-line interface, no UI
Web App Browser-based, frontend + backend
API Service Backend only, REST/GraphQL
Library Reusable code package
Desktop App Native desktop application
Mobile App iOS/Android application
Full Stack Complete web application
Infrastructure DevOps, deployment tools

Read the full file on GitHub · 337 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. 2d ago First seen · 337 lines · 40 tokens per session scan A d8eca0e1d9db

Subscribe to this mod's changes

vision is a skill published in the GitHub repository YougLin-dev/Aha-Loop (181 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 1,795 once invoked, about $0.0002 per session on Opus 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.

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