What is legadoSkill copilot-instructions.md?

Project instructions for an AI coding agent working on Legado book-source generation, an Android reading app that uses website-specific JSON rules to find books.

Understanding the repository, generating or debugging book-source configurations, checking them against the app's parser, and running automatic fixes.

They give the agent the project's structure, important workflows, and testing commands needed to make compatible changes.

How DandanLLab/legadoSkill configures GitHub Copilot

Reuse

Borrowing it

Nothing to install: this file belongs to DandanLLab/legadoSkill. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/DandanLLab/legadoSkill/main/.github/copilot-instructions.md

Clone the repo

git clone --depth 1 https://github.com/DandanLLab/legadoSkill

Made for: GitHub Copilot.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/dandanllab/legadoskill/copilot-instructions/github.svg)](https://agentmods.dev/instructions/dandanllab/legadoskill/copilot-instructions)

Your own site

<a href="https://agentmods.dev/instructions/dandanllab/legadoskill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/dandanllab/legadoskill/copilot-instructions/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/dandanllab/legadoskill/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/dandanllab/legadoskill/copilot-instructions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 795 This file is loaded in full into every session.

When invoked 795 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.00795	$0.00795
Opus 5.5	$0.00318	$0.00318
Sonnet 5.5	$0.00159	$0.00159
Haiku 4.5	$0.00080	$0.00080

Measured 2mo ago against content hash df9af0c79231, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

legadoSkill copilot-instructions.md 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 2mo 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.

.github/copilot-instructions.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Legado书源驯兽师 - AI Coding Agent Instructions

Project Overview

This is an AI-driven tool for automatically generating book sources for the Legado reading Android app. The system analyzes website HTML structures and creates compliant JSON configurations using a knowledge-driven approach.

Architecture

Skill Package: SKILL.md - Core AI agent logic with 23 specialized tools
Debug Engine: debugger/ - Python-based testing framework simulating Legado's Kotlin parser
Knowledge Base: assets/ - 24.93MB of documentation, 1751 real book source examples
Legado Source: legado/ - Official app source code for compatibility validation

Critical Workflows

Testing Book Sources

# Test a book source with search keyword
python debugger/test_universal.py path/to/book_source.json -k "斗破苍穹"

# Enable auto-fix with max attempts
python debugger/test_universal.py path/to/book_source.json -k "keyword" --auto-fix

Environment Setup

# Install dependencies
pip install -r debugger/requirements.txt

# Run in Trae IDE with MCP protocol support
# Skill package auto-loads from .trae/skills/

Key Patterns & Conventions

Knowledge-First Approach

Always query knowledge base before rule generation:

search_knowledge() for CSS selectors, POST configs, regex patterns
get_css_selector_rules() for complete selector syntax
get_real_book_source_examples() for proven templates

Rule Validation

Strict Legado JSON schema compliance
No forbidden fields: textNodes, ownText, allElements
Regex patterns use ## delimiter for replacement
nextContentUrl requires pagination detection

5-Stage Development Workflow

Collect Info: Query knowledge, detect encoding, fetch HTML
Review Rules: Write rules, validate syntax, handle edge cases
Create Source: Generate complete JSON, debug test
Output JSON: Save to output/book_sources/
Self-Evolve: Learn from successful patterns

Read the full file on GitHub · 86 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.

2mo ago First seen · 86 lines · 795 tokens per session scan A df9af0c79231

Subscribe to this mod's changes

legadoSkill copilot-instructions.md is an instructions file published in the GitHub repository DandanLLab/legadoSkill (271 stars, last pushed 7mo ago), licensed MIT. It adds 795 tokens to every session, about $0.0032 per session on Opus 5.5. 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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legadoSkill: Instructions file for GitHub Copilot