Acmesec/PromptJailbreakManual resource
Prompt越狱手册 observed · 2026-08-28
Health v2 · maintenance only
12/100
- Activity 0
- Release rhythm 8
- Longevity 46
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 646
- days_rel: 645
- days_push: 624
- n_releases_24m: 1
Adoption not part of the score
3608 stars · 374 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A Chinese-language manual (handbook) covering prompt engineering, prompt injection, prompt leaking, and LLM jailbreak techniques, with security-oriented case studies. It is educational documentation rather than software.
Use cases
- learn prompt engineering techniques
- understand prompt injection attacks
- study LLM jailbreak methods
- build a security-focused AI assistant prompt
- learn prompt frameworks like LangGPT and COAST
- red-team LLM safety testing
When to choose
- you want a structured reference on prompt design and jailbreak techniques
- you do security research or red-teaming of LLM applications
- you want real-world prompt injection and leaking case studies
When to avoid
- you need executable tooling or a library
- you want an English-language resource
- you need formal academic coverage of LLM safety
Facets
learning-resource · maturity active
prompt-engineering security penetration-testing documentation artificial-intelligence large-language-models security penetration-testing tutorials cross-platform prompt-injection jailbreak llm-security manual chinese
1 source
- readme: https://github.com/Acmesec/PromptJailbreakManual · fetched 2026-08-28 · 4e88226301fb
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| Acmesec/PromptJailbreakManual | main | 12 |
For agents
markdown · JSON · MCP: product_card(name="Acmesec/PromptJailbreakManual")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem