Borrowing it
Nothing to install: this file belongs to MisonL/Ling. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MisonL/Ling/main/.agents/skills/red-team-tactics/SKILL.mdgit clone --depth 1 https://github.com/MisonL/LingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/misonl/ling/red-team-tactics)<a href="https://agentmods.dev/skills/misonl/ling/red-team-tactics"><img src="https://agentmods.dev/badge/skills/misonl/ling/red-team-tactics/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/misonl/ling/red-team-tactics"><img src="https://agentmods.dev/badge/skills/misonl/ling/red-team-tactics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00031 | $0.01679 |
| Opus 5 | $0.00015 | $0.00839 |
| Sonnet 5 | $0.00006 | $0.00336 |
| Haiku 4.5 | $0.00003 | $0.00168 |
Grade A, and why
red-team-tactics 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
红队战术
基于 MITRE ATT&CK 框架的对抗模拟原则。
1. MITRE ATT&CK 攻击阶段
攻击生命周期
侦察（Reconnaissance）-> 初始访问（Initial Access）-> 执行（Execution）-> 持久化（Persistence）
v v v v
权限提升（Priv Esc）-> 防御规避（Defense Evasion）-> 凭据访问（Credential Access）-> 发现（Discovery）
v v v v
横向移动（Lateral Movement）-> 数据收集（Collection）-> 指挥控制（C2）-> 数据泄露（Exfiltration）-> 影响力（Impact）
各阶段目标
| 阶段 | 核心目标 |
|---|---|
| 侦察（Recon） | 映射攻击面 |
| 初始访问 | 获取首个立足点 |
| 执行（Execution） | 在目标上运行代码 |
| 持久化 | 在重启后依然存活 |
| 权限提升 | 获取管理员（Admin）或 Root 权限 |
| 防御规避 | 躲避安全检测 |
| 凭据访问 | 收集并提取各类凭据 |
| 发现（Discovery） | 映射内网环境 |
| 横向移动 | 扩散至其他系统 |
| 数据收集 | 搜集目标敏感数据 |
| 指挥控制（C2） | 维持命令下发通道 |
| 数据泄露（Exfil） | 提取并带出数据 |
2. 侦察准则
被动侦察与主动侦察
| 类型 | 权衡（Trade-off） |
|---|---|
| 被动侦察 | 不与目标直接接触，获取信息有限，但安全性极高 |
| 主动侦察 | 直接接触目标，获取信息多，但暴露风险极高 |
信息搜集重点
| 类别 | 价值所在 |
|---|---|
| 技术栈 | 选择合适的攻击向量 |
| 员工信息 | 用于社会工程学攻击 |
| 网络范围 | 确定扫描范围 |
| 第三方协作 | 开展供应链攻击 |
3. 初始访问向量
选择标准
| 向量 | 适用场景 |
|---|---|
| 网络钓鱼（Phishing） | 针对人员，需要邮件访问权限 |
| 公开漏洞（Exploits） | 暴露在外的易受攻击服务 |
| 合规凭据 | 泄露或被暴力破解的帐号 |
| 供应链攻击 | 通过第三方供应商接入 |
4. 权限提升原则
Windows 平台关注点
| 检查项 | 利用机会 |
|---|---|
| 未加引号的服务路径 | 利用路径写入漏洞 |
| 弱服务权限 | 修改服务执行逻辑 |
| 令牌特权（Token） | 滥用 SeDebug 等特权 |
| 存储的凭据 | 离线或在线提取 |
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.
- 8d ago First seen · 204 lines · 31 tokens per session scan A d13a7c0c0677
red-team-tactics is a skill published in the GitHub repository MisonL/Ling (8 stars, last pushed 5mo ago), licensed MIT. It adds 31 tokens to every session and 1,679 once invoked, about $0.0002 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 2026-08-31.
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