Why is saving to a file mandatory instead of just responding in chat?

Saving to files prevents context loss in long conversations and ensures subsequent agents in a pipeline can access the data reliably without the risk of the model hallucinating previously mentioned values.

Does this skill support different file formats?

Yes, it primarily enforces JSON for structured data and Markdown for summaries, but it also provides conventions for raw text (.txt) files depending on the agent's output type.

What happens if a file save operation fails?

The protocol mandates a specific FAIL response with an error code (like PATH_NOT_FOUND or DISK_FULL). This prevents the agent from falsely reporting success and triggers necessary retry logic.

How does this skill help with multi-agent coordination?

It provides a shared directory structure and naming convention (e.g., 01-fund-analysis.md) that allows a coordinator agent to verify that all required steps have been completed by checking the file system.

File Save Protocol

Name: File Save Protocol
Author: orientpine

byorientpine

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생산성 및 워크플로

Standardizes how AI agents save analysis results to ensure data persistence and prevent hallucinations.

The File Save Protocol provides a rigorous framework for AI agents to manage output files, mandating that all analysis results be saved as both structured JSON and human-readable Markdown. By enforcing specific naming conventions, directory paths, and error-handling protocols, it eliminates context loss in long conversations and prevents 'hallucinated' completions where an agent claims to have saved data without actually performing the write operation. This is essential for complex multi-agent workflows where data integrity and session recovery are critical.

주요 기능

01Mandatory dual-format saving for both machine-parsable JSON and human-readable Markdown.

02Centralized output path management to ensure consistency across different agent roles.

03Hallucination prevention by requiring explicit success/failure verification for every Write operation.

048 GitHub stars

05Strict file naming conventions using numerical prefixes and standardized base names.

06Session recovery validation that checks for existing files before proceeding with workflows.

사용 사례

01Long-running AI sessions where context window limits might cause loss of previous analysis results.

02Automated reporting systems that need to generate verifiable audit trails of AI-generated data.

03Multi-agent investment analysis requiring shared data states across different specialized tools.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add orientpine/honeypot file-save-protocol

For use in Claude.ai and ChatGPT

Download Skill