---
name: anna-archive
description: "Anna's Archive integration for academic paper and book retrieval. Search shadow libraries (Library Genesis, Z-Library, Sci-Hub) via unified API with GF(3) balanced caching."
metadata:
  trit: 0
  version: "1.0.0"
  bundle: research
---

# Anna's Archive Skill

**Trit**: 0 (ERGODIC - coordinates retrieval across sources)  
**Foundation**: Anna's Archive API + academic-research skill  
**Principle**: Unified access to shadow libraries for research

## Overview

Anna's Archive is a search engine for shadow libraries:
- **Library Genesis** (LibGen) - books and papers
- **Z-Library** - ebooks
- **Sci-Hub** - academic papers
- **Internet Archive** - open library

This skill integrates with the `ANNA_SELF` token for authenticated access.

## Configuration

```bash
# In ~/.topos/.env
export ANNA_SELF="your_anna_archive_key"
```

## API Reference

### Search Operations

```javascript
// Using archive_of_anna (Node.js)
const ArchiveOfAnna = require('archive_of_anna');

// Search for books
const results = await ArchiveOfAnna.search({
  text: "category theory",
  lang: "en",
  content: "book_nonfiction",
  ext: "pdf",
  sort: "newest"
});

// Result structure
// [{
//   title: "Category Theory for Programmers",
//   authors: ["Bartosz Milewski"],
//   md5: "abc123...",
//   coverUrl: "https://...",
//   filesize: "5.2 MB",
//   extension: "pdf"
// }]
```

### Content Fetching

```javascript
// Fetch download links by MD5 hash
const content = await ArchiveOfAnna.fetch_by_md5("abc123...");

// Returns detailed metadata + download links
// {
//   title: "...",
//   downloadLinks: {
//     libgenRsFork: "https://...",
//     ipfs: "ipfs://...",
//     tor: "http://..."
//   }
// }
```

## Babashka Integration

```clojure
#!/usr/bin/env bb
;; anna-search.bb - Search Anna's Archive

(require '[babashka.http-client :as http]
         '[cheshire.core :as json])

(def anna-self (System/getenv "ANNA_SELF"))

(defn anna-search [query & {:keys [lang ext limit] 
                            :or {lang "en" ext "pdf" limit 10}}]
  (let [base-url "https://annas-archive.org/search"
        params {:q query :lang lang :ext ext}]
    ;; Note: Anna's Archive doesn't have official API
    ;; This would scrape or use unofficial wrapper
    (println (format "Searching Anna's Archive: %s" query))
    {:query query :params params}))

(defn fetch-by-md5 [md5]
  (let [url (format "https://annas-archive.org/md5/%s" md5)]
    (println (format "Fetching: %s" url))
    {:md5 md5 :url url}))

;; GF(3) balanced search: 3 queries in parallel
(defn triadic-search [queries]
  (let [results (pmap anna-search queries)
        trits (cycle [-1 0 1])]
    {:searches (map #(assoc %1 :trit %2) results trits)
     :gf3-sum (reduce + (take (count queries) trits))}))

(when (= *file* (System/getProperty "babashka.file"))
  (let [query (or (first *command-line-args*) "category theory")]
    (println (anna-search query))))
```

## Python Integration

```python
#!/usr/bin/env python3
"""anna_archive.py - Anna's Archive Python client"""

import os
import httpx
from bs4 import BeautifulSoup
from dataclasses import dataclass
from typing import List, Optional

ANNA_SELF = os.getenv("ANNA_SELF")
BASE_URL = "https://annas-archive.org"

@dataclass
class SearchResult:
    title: str
    authors: List[str]
    md5: str
    extension: str
    filesize: str
    trit: int = 0  # GF(3) assignment

def search(
    query: str,
    lang: str = "en",
    ext: str = "pdf",
    content: str = "book_nonfiction"
) -> List[SearchResult]:
    """Search Anna's Archive."""
    url = f"{BASE_URL}/search"
    params = {
        "q": query,
        "lang": lang,
        "ext": ext,
        "content": content
    }
    
    # Note: Would need to parse HTML response
    # or use unofficial API wrapper
    print(f"Searching: {query}")
    return []

def fetch_download_links(md5: str) -> dict:
    """Get download links for a document by MD5."""
    url = f"{BASE_URL}/md5/{md5}"
    # Parse page for download links
    return {
        "md5": md5,
        "url": url,
        "sources": ["libgen", "ipfs", "tor"]
    }

# GF(3) balanced batch search
def triadic_batch(queries: List[str]) -> dict:
    """Search 3 queries with GF(3) conservation."""
    trits = [-1, 0, 1]
    results = []
    for i, q in enumerate(queries[:3]):
        result = search(q)
        for r in result:
            r.trit = trits[i % 3]
        results.extend(result)
    
    trit_sum = sum(trits[:len(queries)])
    return {
        "results": results,
        "gf3_sum": trit_sum,
        "balanced": trit_sum % 3 == 0
    }
```

## Ruby Integration

```ruby
# anna_archive.rb - Ruby client for Anna's Archive
require 'httpx'
require 'nokogiri'

module AnnaArchive
  ANNA_SELF = ENV['ANNA_SELF']
  BASE_URL = 'https://annas-archive.org'
  
  class << self
    def search(query, lang: 'en', ext: 'pdf', content: 'book_nonfiction')
      url = "#{BASE_URL}/search"
      params = { q: query, lang: lang, ext: ext, content: content }
      
      # Would parse HTML response
      puts "Searching Anna's Archive: #{query}"
      []
    end
    
    def fetch_by_md5(md5)
      url = "#{BASE_URL}/md5/#{md5}"
      { md5: md5, url: url }
    end
    
    # GF(3) triadic search
    def triadic_search(queries)
      trits = [-1, 0, 1].cycle
      results = queries.take(3).map.with_index do |q, i|
        { query: q, trit: trits.next, results: search(q) }
      end
      
      sum = results.sum { |r| r[:trit] }
      { results: results, gf3_sum: sum, balanced: sum % 3 == 0 }
    end
  end
end
```

## Integration with academic-research Skill

```clojure
;; Combine with academic-research for comprehensive search
(defn comprehensive-search [query]
  (let [;; Academic sources (via academic-research skill)
        arxiv-results (arxiv-search query)
        semantic-results (semantic-scholar-search query)
        
        ;; Shadow libraries (via anna-archive skill)
        anna-results (anna-search query)
        
        ;; Triadic assignment
        all-results [{:source :arxiv :trit -1 :results arxiv-results}
                     {:source :semantic-scholar :trit 0 :results semantic-results}
                     {:source :anna-archive :trit 1 :results anna-results}]]
    {:triadic all-results
     :gf3-sum (reduce + (map :trit all-results))
     :total-count (reduce + (map #(count (:results %)) all-results))}))
```

## DuckDB Caching

```sql
-- Cache search results in DuckDB
CREATE TABLE IF NOT EXISTS anna_cache (
    md5 VARCHAR PRIMARY KEY,
    title VARCHAR,
    authors VARCHAR[],
    extension VARCHAR,
    filesize VARCHAR,
    download_links JSON,
    trit TINYINT,
    cached_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

-- Insert cached result
INSERT INTO anna_cache (md5, title, authors, extension, trit)
VALUES ('abc123', 'Category Theory', ARRAY['Mac Lane'], 'pdf', 0);

-- Query with GF(3) balance
SELECT trit, COUNT(*) as count
FROM anna_cache
GROUP BY trit
ORDER BY trit;
```

## CLI Usage

```bash
# Search for books
bb anna-search.bb "category theory"

# Search with filters
bb anna-search.bb "homotopy type theory" --lang en --ext pdf

# Fetch by MD5
bb anna-fetch.bb abc123def456

# Triadic batch search (3 queries, GF(3) balanced)
bb anna-triadic.bb "category theory" "type theory" "topos theory"
```

## Content Types

| Content Type | Description | Trit |
|--------------|-------------|------|
| `book_nonfiction` | Academic books | 0 |
| `book_fiction` | Fiction books | +1 |
| `journal_article` | Papers/articles | -1 |
| `magazine` | Magazines | 0 |
| `comic` | Comics | +1 |
| `standards` | Standards docs | -1 |

## GF(3) Triads

```
academic-research (-1) ⊗ anna-archive (0) ⊗ depth-search (+1) = 0 ✓
mathpix-ocr (-1) ⊗ anna-archive (0) ⊗ pdf (+1) = 0 ✓
sheaf-cohomology (-1) ⊗ anna-archive (0) ⊗ topos-generate (+1) = 0 ✓
```

## Legal Notice

Anna's Archive indexes content from various sources. Users are responsible for complying with copyright laws in their jurisdiction. This skill is for research and educational purposes.

## References

- [Anna's Archive](https://annas-archive.org) - Main site
- [archive_of_anna](https://github.com/shetty-tejas/archive_of_anna) - Unofficial JS API
- [annas_archive_api](https://pub.dev/packages/annas_archive_api) - Dart/Flutter package
- academic-research skill - Complementary academic search


---

## Autopoietic Marginalia

> **The interaction IS the skill improving itself.**

Every use of this skill is an opportunity for worlding:
- **MEMORY** (-1): Record what was learned
- **REMEMBERING** (0): Connect patterns to other skills  
- **WORLDING** (+1): Evolve the skill based on use



*Add Interaction Exemplars here as the skill is used.*


---
Source attribution: plurigrid
Original project: https://github.com/plurigrid/asi/blob/293ce9f76e3abcd5ba18db284688bc0d9ac6691d/skills/anna-archive/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 SkillCreator.ai

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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The above copyright notice and this permission notice shall be included in all
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# Mega AI Hub resource metadata

Creator / publisher: plurigrid
Original project: https://github.com/plurigrid/asi/blob/293ce9f76e3abcd5ba18db284688bc0d9ac6691d/skills/anna-archive/SKILL.md
Attribution basis: Source repository record

Fields of work: Education & Research, Marketing
Roles: Academic Writer, Content Marketer, Researcher
Specialties: API
Tools: Anna Archive
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: f7114f1f7938cac3b36782b1b3b4c3b9b9678c6aea349c2e46cfe06ac2d4018b