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.

In plain words
What is it for?
Understanding the repository, generating or debugging book-source configurations, checking them against the app's parser, and running automatic fixes.
Why use it?
They give the agent the project's structure, important workflows, and testing commands needed to make compatible changes.

Instructions file for GitHub Copilot

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 instructions/dandanllab/legadoskill/copilot-instructions
Clone the repo
git clone --depth 1 https://github.com/DandanLLab/legadoSkill

Made for: GitHub Copilot.

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. 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 $0.00795 $0.00795
Opus 5 $0.00398 $0.00398
Sonnet 5 $0.00159 $0.00159
Haiku 4.5 $0.00080 $0.00080

Measured 3d ago against content hash df9af0c79231, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 3d 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

  1. Collect Info: Query knowledge, detect encoding, fetch HTML
  2. Review Rules: Write rules, validate syntax, handle edge cases
  3. Create Source: Generate complete JSON, debug test
  4. Output JSON: Save to output/book_sources/
  5. 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.

  1. 3d 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 (203 stars, last pushed 5mo ago), licensed MIT. It adds 795 tokens to every session, about $0.0040 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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