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metaspartanmetaspartan/cybara/skills/domain-intel/SKILL.md

domain-intel

Skill38 starsChanged 5 months agoMITView on GitHub

Passive domain reconnaissance: DNS, TLS certificate, WHOIS, Certificate Transparency, and availability signals.

3 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this for passive infrastructure questions about domains: DNS records, TLS expiry, WHOIS, subdomains from certificate transparency, and …

    line 9

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Domain Intel

Use this for passive infrastructure questions about domains: DNS records, TLS expiry, WHOIS, subdomains from certificate transparency, and registration/availability signals.

This is not a vulnerability scan. Do not port scan or send exploit payloads under this skill.

Quick Checks

DNS:

dig A example.com +short
dig AAAA example.com +short
dig MX example.com +short
dig TXT example.com +short
dig NS example.com +short

TLS certificate:

echo | openssl s_client -servername example.com -connect example.com:443 2>/dev/null \
  | openssl x509 -noout -subject -issuer -dates -ext subjectAltName

WHOIS:

whois example.com | sed -n '1,120p'

Certificate Transparency:

python3 - <<'PY'
import json, sys, urllib.parse, urllib.request
domain = sys.argv[1] if len(sys.argv) > 1 else "example.com"
url = "https://crt.sh/?" + urllib.parse.urlencode({"q": f"%.{domain}", "output": "json"})
with urllib.request.urlopen(url, timeout=20) as res:
    rows = json.load(res)
names = sorted({name.strip().lower() for row in rows for name in row.get("name_value", "").splitlines() if name.strip().endswith(domain)})
for name in names[:200]:
    print(name)
print(f"total={len(names)}", file=sys.stderr)
PY example.com

Output

Report:

  • Domain and exact query time.
  • A/AAAA/MX/NS/TXT summary.
  • TLS issuer, subject, SAN highlights, and expiry.
  • WHOIS registrar and important dates when available.
  • CT-derived subdomains, clearly labeled as historical/passive.
  • Confidence and limitations.

Caveats

  • WHOIS is frequently redacted.
  • CT logs include stale and third-party issued names.
  • DNS answers vary by resolver and geography.
  • Availability checks are heuristics; registrar APIs are authoritative.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.