# Acmesec/theAIMythbook

Ai迷思录（应用与安全指南）

Repository: https://github.com/Acmesec/theAIMythbook
Canonical: https://ross.abutalabs.com/products/theaimythbook
License Family: other
Last push: 2025-03-24T05:00:17+00:00

## Health v2 (maintenance only)
Score: 17/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 13, release rhythm 8, longevity 40
- inputs: {"age_days": 565, "days_push": 527, "days_rel": 562, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1331, forks 132 (observed 2026-08-28T04:04:24.120497+00:00)

## What it is
A Chinese-language guidebook ('AI Myth Book') covering large language model fundamentals, prompt design, AI applications in security work, and AI security topics like jailbreaking, backdoors, and defenses. It is a curated educational document rather than runnable software.

## Use cases
- learn how large language models work and evolved
- learn prompt design and optimization techniques
- understand LLM jailbreak attacks and defenses
- explore AI applications in penetration testing and code auditing
- study AI security risks like data poisoning and backdoors
- find an AI security learning roadmap

## When to choose
- you want a structured Chinese-language introduction to LLMs and AI security
- you are a security practitioner exploring AI-assisted offensive and defensive techniques
- you need prompt engineering guidance including reasoning-model prompting

## When to avoid
- you need runnable code, tools, or libraries
- you require an English-language resource
- you need formal academic references or a maintained software project

## Facets
- artifact type: learning-resource
- maturity: active
- function: documentation, prompt-engineering, security, llm-inference
- domain: artificial-intelligence, large-language-models, security, tutorials, penetration-testing
- platform: cross-platform
- tags: llm-security, jailbreaking, prompt-design, ai-safety, chinese-language, guide

## Member repositories
- Acmesec/theAIMythbook (main) score 17

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:24.120497+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:45:14.398706+00:00, confidence not recorded.
  - readme: https://github.com/Acmesec/theAIMythbook (fetched 2026-08-28T04:04:24.120497+00:00, sha 914f3bb63757)
- Data as of 2026-08-30T08:39:29.467469+00:00.