Agent skill

Detecting And Responding

by telagod in telagod/code-abyss

蓝队与紫队工程:检测规则编写、SIEM/EDR 调优、事件响应、数字取证、威胁狩猎、ATT&CK 映射、紫队演练闭环。Use when writing Sigma/YARA detection rules, tuning SIEM noise, responding to security incidents, conducting forensic analysis, hunting…

MITAuto-check passedSecurity

Install Detecting And Responding

skills CLI
$ npx skills add telagod/code-abyss --skill detecting-and-responding -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install telagod/code-abyss detecting-and-responding --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/telagod/code-abyss.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/detecting-and-responding .claude/skills/detecting-and-responding && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
detecting-and-responding
GitHub stars
243
Token cost
~697 tokens
SKILL.md length
173 words
Files
4 (incl. references)
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

蓝队与紫队工程:检测规则编写、SIEM/EDR 调优、事件响应、数字取证、威胁狩猎、ATT&CK 映射、紫队演练闭环。Use when writing Sigma/YARA detection rules, tuning SIEM noise, responding to security incidents, conducting forensic analysis, hunting…

  • Works in 5 steps: 无噪不出闸 — 任何规则上线前必须有基线 + FP rate 测量;FP >… → 不证伪即假设 — 狩猎必须有可证伪的假设;找不到不是结论,是数据缺失或假设错。 → 取证不破坏现场 — 先采易失证据(内存/网络/进程),再动磁盘;写阻断器 +… → …
  • Writing Sigma/YARA detection rules
  • SKILL.md covers 路由, 执行链, 何时使用 and 联动, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Detecting And Responding is an agent skill from telagod/code-abyss. 蓝队与紫队工程:检测规则编写、SIEM/EDR 调优、事件响应、数字取证、威胁狩猎、ATT&CK 映射、紫队演练闭环。Use when writing Sigma/YARA detection rules, tuning SIEM noise, responding to security incidents, conducting forensic analysis, hunting threats, or running purple team exercises.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/incident-response.md`, `references/siem-and-edr.md` and `references/threat-hunting.md`).

It sits in Security, covering Security operations. The repository describes itself as: Give your AI coding agent a personality. Composable persona + style + skills for Claude Code, Codex, Gemini CLI & OpenClaw. Ships Tech Persona Card v1.0 spec. The licence is MIT.

When your agent uses it

  • Writing Sigma/YARA detection rules
  • Tuning SIEM noise
  • Responding to security incidents
  • Conducting forensic analysis

Example prompts

  • “/detecting-and-responding”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. 无噪不出闸 — 任何规则上线前必须有基线 + FP rate 测量;FP > 5% 直接打回调优,不准带病上线。
  2. 不证伪即假设 — 狩猎必须有可证伪的假设;找不到不是结论,是数据缺失或假设错。
  3. 取证不破坏现场 — 先采易失证据(内存/网络/进程),再动磁盘;写阻断器 + 哈希链 + 时间戳三件套必须齐。
  4. 检测即代码 — 规则进 git、有 unit test、过 CI、有 owner;改规则等同改生产代码。
  5. 闭环到 ATT&CK — 每条规则、每次事件、每次狩猎必须映射到 ATT&CK 技术 ID;无 ID 不归档。

What it can do on your machine

Read from SKILL.md and the folder at commit 2544577. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Detecting And Responding loads about 697 tokens when it runs, and up to ~7.3k if it reads all its reference files. Until then it costs about 66 tokens; SKILL.md has 173 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~697
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from telagod/code-abyss at commit 2544577, republished under its MIT licence (© telagod). 173 words, ~697 tokens.

Download SKILL.mdSave it as .claude/skills/detecting-and-responding/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
detecting-and-responding
description
蓝队与紫队工程:检测规则编写、SIEM/EDR 调优、事件响应、数字取证、威胁狩猎、ATT&CK 映射、紫队演练闭环。Use when writing Sigma/YARA detection rules, tuning SIEM noise, responding to security incidents, conducting forensic analysis, hunting threats, or running purple team exercises.
user-invocable
false

蓝队检测与响应 · 镇魔盾

判断先于执行:决定「是否做 / 选什么 / 如何取舍」(栈、方案、架构、权衡)前,先读领域判断内核 skills/_kernel/security/SKILL.md——它管 judgment,本秘典管 execution;冲突时以内核判断为准。

检测是工程,不是运气。每条规则必须能回答四问:what / why / FP rate / response。 站在防御侧,把告警当代码维护、把事件当事故管理、把狩猎当假设验证。 信级:项目日志/EDR 原始事件 > Sigma/YARA 规则库 > ATT&CK 官方矩阵 > 训练记忆(标 [unverified])。

路由

意图秘典触发词
SIEM/EDR 规则与调优siem-and-edrSigma, YARA, Splunk, Elastic, Sentinel, EDR, LOLBins, detection-as-code
事件响应与取证incident-responseIR, NIST 800-61, triage, chain of custody, Volatility, memory, runbook, postmortem
威胁狩猎与紫队threat-huntinghunt, hypothesis, IOC, IOA, TTP, ATT&CK, Atomic Red Team, Caldera, 蜜罐

执行链

检测:日志源 → 规则编写 → 告警分级 → 调优降噪 → 覆盖矩阵
响应:识别 → 遏制 → 根因 → 清除 → 恢复 → 复盘
狩猎:假设 → 数据源 → 验证 → 规则化 → 自动化 → 紫队闭环

每环必须可回答「我看的是哪条日志?我证伪的是哪条假设?我下一步动作是什么?」

何时使用

场景用不用
写 Sigma/YARA 规则、调 SIEM✅ siem-and-edr—
处理已发生入侵、取证✅ incident-response—
假设驱动狩猎 / 紫队演练✅ threat-hunting—
ATT&CK 检测覆盖打分✅ threat-hunting—
设计应用层防御代码❌defending-applications
渗透测试、写 PoC❌securing-systems (pentest/red-team)
威胁建模、IAM 架构❌architecting-security
代码静态扫描胶水❌analyzing-security
云配置基线、K8s 加固❌securing-cloud-and-supply-chain

联动

  • securing-systems/red-team:攻方 TTP 是本 skill 检测规则的设计输入。
  • securing-systems/threat-intel:IOC/CTI 投喂本 skill 的规则与狩猎假设。
  • architecting-security/threat-modeling:威胁模型的 detective control 在本 skill 落地。
  • analyzing-security:本 skill 产出的 detection-as-code 接入 CI 门禁。
  • automating-devops/observability:日志/指标/链路三支柱的安全维。

铁律

  1. 无噪不出闸 — 任何规则上线前必须有基线 + FP rate 测量;FP > 5% 直接打回调优,不准带病上线。
  2. 不证伪即假设 — 狩猎必须有可证伪的假设;找不到不是结论,是数据缺失或假设错。
  3. 取证不破坏现场 — 先采易失证据(内存/网络/进程),再动磁盘;写阻断器 + 哈希链 + 时间戳三件套必须齐。
  4. 检测即代码 — 规则进 git、有 unit test、过 CI、有 owner;改规则等同改生产代码。
  5. 闭环到 ATT&CK — 每条规则、每次事件、每次狩猎必须映射到 ATT&CK 技术 ID;无 ID 不归档。

输出约束

  • 规则示例必须给完整 frontmatter + detection + condition + 反例说明(为什么不这样写)。
  • 命令示例标注操作系统与权限要求(root / SYSTEM / 普通用户)。
  • 日志样例脱敏:IP 用 192.0.2.0/24、域名用 example.com、用户名用 <analyst>。
  • 每条检测规则必须附 FP 来源清单与响应动作(containment / enrichment / kill)。

© telagod, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/detecting-and-responding of telagod/code-abyss.

  • SKILL.md
  • references/incident-response.md
  • references/siem-and-edr.md
  • references/threat-hunting.md

Open the folder on GitHubat commit 2544577

Compare with similar skills

Detecting And Responding next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Detecting And Responding compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Detecting And Responding this skilltelagod/code-abyss243—~697Automated safety check: PassMIT
Security Alert Triageelastic/agent-skills5921 repos~3.5kAutomated safety check: NotesApache-2.0
Kubernetes Network Security Auditkubeshark/kubeshark12k—~7.3kAutomated safety check: NotesApache-2.0
Security Detection Rule Managementelastic/agent-skills5921 repos~3.9kAutomated safety check: NotesApache-2.0
Chaitin CLIchaitin/chaitin-cli114—~15kAutomated safety check: NotesGPL-3.0
GatesNebulock-Inc/agentic-threat-hunting-framework388—~12kAutomated safety check: PassMIT

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Categories

Questions about Detecting And Responding

What does Detecting And Responding do?

蓝队与紫队工程:检测规则编写、SIEM/EDR 调优、事件响应、数字取证、威胁狩猎、ATT&CK 映射、紫队演练闭环。Use when writing Sigma/YARA detection rules, tuning SIEM noise, responding to security incidents, conducting forensic analysis, hunting…. Detecting And Responding is an agent skill from telagod/code-abyss. 蓝队与紫队工程:检测规则编写、SIEM/EDR 调优、事件响应、数字取证、威胁狩猎、ATT&CK 映射、紫队演练闭环。Use when writing Sigma/YARA detection rules, tuning SIEM noise, responding to security incidents, conducting forensic analysis, hunting threats, or running purple team exercises.

When should I use Detecting And Responding?

Detecting And Responding fits situations like: writing Sigma/YARA detection rules; tuning SIEM noise; responding to security incidents; conducting forensic analysis.

How do I install Detecting And Responding in Claude Code?

Run `npx skills add telagod/code-abyss --skill detecting-and-responding -a claude-code`. Or copy the skill folder (skills/detecting-and-responding in telagod/code-abyss) into .claude/skills/detecting-and-responding in your project. Claude Code loads it when a task matches its description.

How do I install Detecting And Responding in Codex?

Run `npx skills add telagod/code-abyss --skill detecting-and-responding -a codex`. Or copy the skill folder (skills/detecting-and-responding in telagod/code-abyss) into .agents/skills/detecting-and-responding in your project. Codex loads it when a task matches its description.

Can I use Detecting And Responding in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add telagod/code-abyss --skill detecting-and-responding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-and-responding, .gemini/skills/detecting-and-responding, .github/skills/detecting-and-responding and .opencode/skills/detecting-and-responding in your project.

What does Detecting And Responding need to run?

SKILL.md names no scripts, command-line tools or credentials: Detecting And Responding is instructions for the agent only.

Does Detecting And Responding access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Detecting And Responding safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Detecting And Responding use?

Detecting And Responding is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Detecting And Responding use?

About 697 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.6k tokens, read only when the agent opens those files.

What are the alternatives to Detecting And Responding?

Skills that share tags, products or a category with Detecting And Responding: Security Alert Triage (elastic/agent-skills, 592 stars), Kubernetes Network Security Audit (kubeshark/kubeshark, 12k stars), Security Detection Rule Management (elastic/agent-skills, 592 stars) and Chaitin CLI (chaitin/chaitin-cli, 114 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Detecting And Responding?

telagod (a GitHub user) maintains it in telagod/code-abyss, which has 243 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on July 19, 2026.

Source: telagod/code-abyss on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.