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Pentest Blackboard

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pentest-blackboard

CyberStrikeAI 项目黑板:跨会话 Fact 图(SQLite)+ upsert_project_fact/record_vulnerability 边渗透边记录节奏、关系边 links、confidence、与多代理协调落库。Use when managing project facts, blackboard index, writing evidence, or avoiding context-loss after compression.

Overview

PublisherAIPentest
RepositoryCyberStrikeAI
Skill namepentest-blackboard
Stars
6.9K
Forks
1.2K
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by AIPentest on GitHub. Read the source before you install it.

Installation

Install the Pentest Blackboard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AIPentest/CyberStrikeAI.git /tmp/CyberStrikeAI
mkdir -p .claude/skills
cp -r /tmp/CyberStrikeAI/skills/pentest-blackboard .claude/skills/pentest-blackboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pentest Blackboard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pentest Blackboard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pentest Blackboard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

项目黑板(与本产品对齐)

状态落在已绑定项目的 SQLite 黑板,不依赖对话上下文,也不使用 .pentest/ 目录。 系统自动注入「项目黑板索引」(仅 fact_key + summary);摘要不足必须 get_project_fact,禁止凭摘要臆造细节。

原语与分工(产品模型)

概念产品落点规则
Factproject_factsupsert_project_factfact_key 覆盖更新;非正式漏洞条目。confidence: confirmed | tentative | deprecated
关系边project_fact_edges(upsert 的 links结构化攻击图;finding/chain/exploit/poc 必须带 links
可交付漏洞record_vulnerability与 Fact 可各记一次:Fact=复现上下文,漏洞=正式 finding
探索方向本轮计划 / 协调者委派 / plantask(若启用)不是独立 Intent 表;待验证方向用 confidence=tentativenote/ 或先不落库、验证后再写
人类注入用户消息 / HITL 审批直接吸收进决策;不必写成 Hint 原语

Fact vs 漏洞

  • 环境/目标/认证等认知 → 只写 Fact(target/ auth/ infra/ business/
  • 发现与利用上下文 → Fact(finding/ chain/ exploit/ poc/)+ body 填满攻击链
  • 可交付 findingsrecord_vulnerability(标题、严重程度、类型、目标、POC、影响、修复);记前可用 list_vulnerabilities 查重

强制节奏:边渗透边记录

勿等会话结束再批量写入。

  1. 确认一条新认知(开放端口/服务版本、入口路径、认证态或凭据特征、可利用点或攻击面变化)→ 立即 upsert_project_fact(同 key 覆盖)。
  2. 验证出一条可复现漏洞(含 POC/影响)→ 立即 record_vulnerability;与事实可各记一次。
  3. 继续下一步前优先落库,避免上下文压缩丢细节。
  4. 未绑项目:说明无法写黑板,仍在本轮保留证据摘要。
  5. 协调者:子任务返回新认知/漏洞时由协调者写入,勿假定子代理已记。
  6. 子代理无工具时:交付物末尾给「待落库」条目(建议 fact_key、summary、body/POC 要点),供协调者立即写入。

工具速查

工具用途
upsert_project_fact写入/更新事实(含 body、confidence、links)
get_project_fact按 key 取完整 body(索引不够时必调)
list_project_facts / search_project_facts检索黑板
deprecate_project_fact / restore_project_fact误报废弃 / 恢复
record_vulnerability可交付漏洞
list_vulnerabilities / get_vulnerability查重与详情

前置:当前对话已绑定项目(否则工具报错)。

写入规范

fact_key / category

  • 格式:小写 category/slug(如 target/primary_domainfinding/sqli-login
  • 环境:target | auth | infra | business
  • 发现利用:finding | chain | exploit | poc(另可用 note
  • 同一发现保持同一 fact_key 覆盖,勿拆成多个 key 导致上下文丢失

summary / body / confidence

  • summary(索引用一行):须含「什么 + 在哪 + 如何触发/验证」,禁止只写「存在 SQLi」
  • body:完整可复现上下文(索引不含 body)。发现/利用类必含:入口 → 步骤 → 原始请求/响应或命令 → 现象 → 证据 → related_vulnerability_id(若有)
  • confidence:有证据钉死 → confirmed;仅线索/待验证 → tentative;误报 → deprecate_project_fact(或 deprecated
  • 更新时若省略 body,保留库中已有 body(可只改 summary)

关系边 links(写入 finding/chain/exploit/poc 时必填)

  • 推荐 from:来源 fact → 当前 fact_key
  • 最少:finding 至少 1 条 {from: target/*, type: discovered_on};在 finding 上挂 exploit 用 {from: exploit/*, type: exploits}
  • 常用 type:discovered_on | depends_on | leads_to | enables | exploits | contains | part_of | supports
  • 省略 links = 保留已有边;传入 links = 替换全部入边

工作方式(对齐本产品编排)

不设 Bootstrap/Reason/Explore 磁盘状态机。按当前运行模式推进,但读写黑板的纪律不变

模式黑板用法
单代理 / deep边干边 upsert_project_fact;读索引不够则 get_project_fact
plan_execute计划步骤产出认知后立即落库;重规划前 list/search_project_facts
supervisor协调者汇总子代理「待落库」并写入;子代理无工具则结构化交付

卡住时:换边/换起点/换攻击域;用 search_project_facts 重审已有 Fact,避免重复死路。负结果也要落库(见验证铁律 skill)。

行为触发器(纪律)

每步必检(不检=违反验证铁律):

  1. 识别→搜:识别任何组件/框架/版本/中间件 → 暂停利用 → 立即执行 component-vuln-intel 全部命令(browser_navigate+terminal curl,7 个步骤全做)→ 结果用 tentative Fact 或本轮计划跟踪 → 搜完才继续。不搜就说「无已知漏洞」=幻觉;验证后confirmed / record_vulnerability
  2. 拒绝→换路:收到 403/429/超时/RST/WAF 拦/CDN 502/限流/空响应 → 禁止同条件重试 → 立即换路序列:SOCKS5 代理→换 UA→加 XFF→换协议(WS/DNS)→换端口→编码变异(完整代理获取/验证见 proxy-tool-bootstrap)→ 全换仍不通才写负结果 Fact(confirmed + body 写清已测条件)换面。
  3. 新认知→横向:拿到凭据/域名/IP/路径 → 立即横向喷:凭据全服务复用 / 新域名全端口扫 / IP 反查同站 → 不等人指示自动扩展攻击面,并 upsert_project_fact(如 auth/cred-*target/related-*)。有凭据不喷=遗漏。

违反判定:不搜就说「无已知漏洞」=幻觉;被拦不换路=放弃;有凭据不喷=遗漏 → 均违反验证铁律。

证据 / 战利品 / 改动

原「磁盘」概念本产品做法
evidence/Fact body + record_vulnerability 的证明字段 + 工具执行记录;大文件放会话/项目 workspace
loot/凭据特征写入 auth/ Fact(注意脱敏与授权范围);完整秘密按项目策略处理
changelog.md写入型改动在回复中台账化,并可 note/change-* Fact 记录主机/类型/位置/回滚命令

与验证铁律的衔接

详见 pentest-verification:搜索≠漏洞;无证据不写 confirmed;禁止空泛「可能/疑似」当结论;验证失败写负结果 Fact。

Frequently asked questions

What does the Pentest Blackboard AI skill do?

CyberStrikeAI 项目黑板:跨会话 Fact 图(SQLite)+ upsert_project_fact/record_vulnerability 边渗透边记录节奏、关系边 links、confidence、与多代理协调落库。Use when managing project facts, blackboard index, writing evidence, or avoiding context-loss after compression.

Why use Pentest Blackboard on TypingMind?

Because you install it once and use it with any model. Pentest Blackboard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pentest Blackboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AIPentest/CyberStrikeAI/tree/main/skills/pentest-blackboard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pentest Blackboard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pentest Blackboard?

As many as you like. As long as a model supports skills, you can use Pentest Blackboard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pentest Blackboard AI skill free?

Yes. It is published on GitHub by AIPentest under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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