跳到正文
FunCoding

搜索

搜索文档、Skill 和 MCP

Strix•Nuclei 用法

Strix Nuclei 命令手册,覆盖模板选择、高吞吐执行与自动化边界控制;触发名:strix-nuclei

安全834strix-nuclei/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/asdfgh1445/ctf-super-hub/strix-nuclei/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

Nuclei CLI Playbook

Official docs:

Canonical syntax: nuclei [flags]

High-signal flags:

  • -u, -target <url> single target
  • -l, -list <file> targets file
  • -im, -input-mode <mode> list/burp/jsonl/yaml/openapi/swagger
  • -t, -templates <path|tag> explicit template path(s)
  • -tags <tag1,tag2> run by tag
  • -s, -severity <critical,high,...> severity filter
  • -as, -automatic-scan tech-mapped automatic scan
  • -ni, -no-interactsh disable OAST/interactsh requests
  • -rl, -rate-limit <n> global request rate cap
  • -c, -concurrency <n> template concurrency
  • -bs, -bulk-size <n> hosts in parallel per template
  • -timeout <seconds> request timeout
  • -retries <n> retries
  • -stats periodic scan stats output
  • -silent findings-only output
  • -j, -jsonl JSONL output
  • -o <file> output file

Agent-safe baseline for automation: nuclei -l targets.txt -as -s critical,high -rl 50 -c 20 -bs 20 -timeout 10 -retries 1 -silent -j -o nuclei.jsonl

Common patterns:

  • Focused severity scan: nuclei -u https://target.tld -s critical,high -silent -o nuclei_high.txt
  • List-driven controlled scan: nuclei -l targets.txt -as -rl 50 -c 20 -bs 20 -timeout 10 -retries 1 -j -o nuclei.jsonl
  • Tag-driven run: nuclei -l targets.txt -tags cve,misconfig -s critical,high,medium -silent
  • Explicit templates: nuclei -l targets.txt -t http/cves/ -t dns/ -rl 30 -c 10 -bs 10 -j -o nuclei_templates.jsonl
  • Deterministic non-OAST run: nuclei -l targets.txt -as -s critical,high -ni -stats -rl 30 -c 10 -bs 10 -timeout 10 -retries 1 -j -o nuclei_no_oast.jsonl

Critical correctness rules:

  • Provide a template selection method (-as, -t, or -tags); avoid unscoped broad runs.
  • Keep -rl, -c, and -bs explicit for predictable resource use.
  • Use -ni when outbound interactsh/OAST traffic is not expected or not allowed.
  • Use structured output (-j -o <file>) for automation.

Usage rules:

  • Start with severity/tags/templates filters to keep runs explainable.
  • Keep retries conservative (-retries 1) unless transport instability is proven.
  • Do not use -h/--help for routine operation unless absolutely necessary.

Failure recovery:

  • If performance degrades, lower -c/-bs before lowering -rl.
  • If findings are unexpectedly empty, verify template selection (-as vs explicit -t/-tags).
  • If scan duration grows, reduce target set and enforce stricter template/severity filters.

If uncertain, query web_search with: site:docs.projectdiscovery.io nuclei <flag> running

相似的 Skill

security-and-hardening
addyosmani/agent-skills103k

security-and-hardening

Hardens code against vulnerabilities. Use when auditing an input handler for vulnerabilities, when handling user input, authentication, data storage, or external integrations, or when checking a login flow is safe against the OWASP Top Ten. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services. Use when auditing dependencies for known vulnerabilities, triaging package-manager audit findings, or assessing supply-chain risk in a new package. Use when personal data or privacy compliance (GDPR, CCPA) is involved.

安全

archify
tt-a1i/archify80k

archify

Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid. Also use for everyday subjects with steps, parts, relationships, or states: a leave or travel plan, an application or approval process, a back-and-forth such as renting, where money or documents go, or where an application or order stands. Not for numeric charts or dashboards.

安全

security-research
code-yeongyu/oh-my-openagent70k

security-research

Team Mode security research skill. Orchestrates 3 vulnerability hunters and 2 PoC engineers to audit a codebase in parallel, prove exploitability, classify root causes, and calibrate severity by actual exploitability. Use for security review, vulnerability research, exploitability audit, pre-release security check, threat model validation, and `/security-research`. Triggers: 'security-research', 'security research', 'security review', 'vulnerability audit', 'exploitability audit', '보안 리뷰', '취약점 감사'.

安全

007
sickn33/agentic-awesome-skills47k

007

Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.

安全

open-code-review
alibaba/open-code-review45k

open-code-review

Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.

安全

open-code-review
alibaba/open-code-review45k

open-code-review

Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.

安全