AI Collaboration Standards
This skill ensures AI assistants provide accurate, evidence-based responses without hallucination.
Quick Reference
Certainty Tags
| Tag | Use When |
|---|---|
[Confirmed] / [已確認] | Direct evidence from code/docs |
[Inferred] / [推論] | Logical deduction from evidence |
[Assumption] / [假設] | Based on common patterns (needs verification) |
[Unknown] / [未知] | Information not available |
[Need Confirmation] / [待確認] | Requires user clarification |
Source Types
| Source Type | Tag | Reliability |
|---|---|---|
| Project Code | [Source: Code] | ⭐⭐⭐⭐⭐ Highest |
| Project Docs | [Source: Docs] | ⭐⭐⭐⭐ High |
| External Docs | [Source: External] | ⭐⭐⭐⭐ High |
| Web Search | [Source: Search] | ⭐⭐⭐ Medium |
| AI Knowledge | [Source: Knowledge] | ⭐⭐ Low |
| User Provided | [Source: User] | ⭐⭐⭐ Medium |
Core Rules
- •Evidence-Based Only: Only analyze content that has been explicitly read
- •Cite Sources: Include file path and line number for code references
- •Classify Certainty: Tag all statements with certainty level
- •Always Recommend: When presenting options, include a recommended choice with reasoning
Detailed Guidelines
For complete standards, see:
Examples
✅ Correct Response
code
[Confirmed] src/auth/service.ts:45 - JWT validation uses 'jsonwebtoken' library [Inferred] Based on repository pattern in src/repositories/, likely using dependency injection [Need Confirmation] Should the new feature support multi-tenancy?
❌ Incorrect Response
code
The system uses Redis for caching (code not reviewed) The UserService should have an authenticate() method (API not verified)
✅ Correct Option Presentation
code
There are three options: 1. Redis caching 2. In-memory caching 3. File-based caching **Recommended: Option 1 (Redis)**: Given the project already has Redis infrastructure and needs cross-instance cache sharing, Redis is the most suitable choice.
❌ Incorrect Option Presentation
code
There are three options: 1. Redis caching 2. In-memory caching 3. File-based caching Please choose one.
Checklist
Before making any statement:
- • Source Verified - Have I read the actual file/document?
- • Source Type Tagged - Did I specify
[Source: Code],[Source: External], etc.? - • Reference Cited - Did I include file path and line number?
- • Certainty Classified - Did I tag as
[Confirmed],[Inferred], etc.? - • No Fabrication - Did I avoid inventing APIs, configs, or requirements?
- • Recommendation Included - When presenting options, did I include a recommended choice?
Configuration Detection
This skill supports project-specific language configuration for certainty tags.
Detection Order
- •Check
CONTRIBUTING.mdfor "Certainty Tag Language" section - •If found, use the specified language (English / 中文)
- •If not found, default to English tags
First-Time Setup
If no configuration found and context is unclear:
- •Ask the user: "This project hasn't configured certainty tag language preference. Which would you like to use? (English / 中文)"
- •After user selection, suggest documenting in
CONTRIBUTING.md:
markdown
## Certainty Tag Language This project uses **[English / 中文]** certainty tags. <!-- Options: English | 中文 -->
Configuration Example
In project's CONTRIBUTING.md:
markdown
## Certainty Tag Language This project uses **English** certainty tags. ### Tag Reference - [Confirmed] - Direct evidence from code/docs - [Inferred] - Logical deduction from evidence - [Assumption] - Based on common patterns - [Unknown] - Information not available - [Need Confirmation] - Requires user clarification
License: CC BY 4.0 | Source: universal-dev-standards