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Domain and web application reconnaissance v1.0.0

Use this resource to map the attack surface of a domain or web application

New

  • 414 downloads
  • 231 likes
  • 140 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install domain-and-web-reconnaissance

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent enumerates subdomains, examines ports and services, then maps endpoints, APIs and JavaScript routes. It produces an attack surface inventory, with scenarios for WAFs and virtual hosts.

Mostly picked by

Updated November 2, 2026

Card for the “Domain and web application reconnaissance” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: domain assessment and web mapping phases
  • reference/scenarios/subdomain-enumeration.md: subdomain enumeration
  • reference/scenarios/api-endpoint-discovery.md: API endpoint discovery

Good fit for

  • You start a pentest on a new scope
  • You want an inventory of an application's exposed APIs

Not for

    Tags

    • reconnaissance
    • subdomains
    • ports
    • api
    • surface

    About

    You say

    “Run reconnaissance on this application's domain: subdomains, ports and exposed APIs.”

    Card for the “Domain and web application reconnaissance” skill

    Skill published by transilienceai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to map the attack surface of a domain or web application
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • reference/anti-bot-bypass.md4.9 KB
    • reference/INDEX.md2.4 KB
    • reference/reconnaissance-principles.md3.8 KB
    • reference/scenarios/api-endpoint-discovery.md7.3 KB
    • reference/scenarios/obfuscated-js-deobfuscation.md5.8 KB
    • reference/scenarios/port-scanning.md5.2 KB
    • reference/scenarios/subdomain-enumeration.md5.2 KB
    • reference/scenarios/vhost-enumeration.md6.9 KB
    • reference/waf-edge-bypass.md6 KB
    • SKILL.md5.7 KB

    Origin and licence

    Listed unmodified

    Author
    transilienceai
    Source
    github.com/transilienceai/communitytools/tree/95fdc128af4ca1ae16b3226f9430f1bad97b0656/skills/reconnaissance
    Licence
    MIT

    Notice

    « reconnaissance » (transilienceai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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