Metabigor OSINT Recon
j3ssie/metabigor
Operates the metabigor CLI to map a target's network ranges, subdomains, ports, related domains, CDNs and archived URLs from free sources without API keys.
Agent skill
Analyze IP address reputation using the Shodan API to identify open ports, running services, known vulnerabilities, and hosting context for threat intelligence enrichment and incident triage.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-ip-reputation-analysis-with-shodan -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-ip-reputation-analysis-with-shodan --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/performing-ip-reputation-analysis-with-shodan .claude/skills/performing-ip-reputation-analysis-with-shodan && rm -rf skills-srcUse ~/.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/
Install the "performing-ip-reputation-analysis-with-shodan" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-ip-reputation-analysis-with-shodan into .claude/skills/performing-ip-reputation-analysis-with-shodan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-ip-reputation-analysis-with-shodan", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-ip-reputation-analysis-with-shodanType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-ip-reputation-analysis-with-shodan -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-ip-reputation-analysis-with-shodan --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/performing-ip-reputation-analysis-with-shodan .agents/skills/performing-ip-reputation-analysis-with-shodan && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performing-ip-reputation-analysis-with-shodan" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-ip-reputation-analysis-with-shodan into .agents/skills/performing-ip-reputation-analysis-with-shodan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-ip-reputation-analysis-with-shodan", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-ip-reputation-analysis-with-shodan -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-ip-reputation-analysis-with-shodan --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/performing-ip-reputation-analysis-with-shodan .cursor/skills/performing-ip-reputation-analysis-with-shodan && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "performing-ip-reputation-analysis-with-shodan" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-ip-reputation-analysis-with-shodan into .cursor/skills/performing-ip-reputation-analysis-with-shodan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-ip-reputation-analysis-with-shodan", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/performing-ip-reputation-analysis-with-shodan--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-ip-reputation-analysis-with-shodan -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-ip-reputation-analysis-with-shodan --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/performing-ip-reputation-analysis-with-shodan .gemini/skills/performing-ip-reputation-analysis-with-shodan && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "performing-ip-reputation-analysis-with-shodan" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-ip-reputation-analysis-with-shodan into .gemini/skills/performing-ip-reputation-analysis-with-shodan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-ip-reputation-analysis-with-shodan", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-ip-reputation-analysis-with-shodanInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-ip-reputation-analysis-with-shodan -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/performing-ip-reputation-analysis-with-shodan .github/skills/performing-ip-reputation-analysis-with-shodan && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "performing-ip-reputation-analysis-with-shodan" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-ip-reputation-analysis-with-shodan into .github/skills/performing-ip-reputation-analysis-with-shodan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-ip-reputation-analysis-with-shodan", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-ip-reputation-analysis-with-shodan -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-ip-reputation-analysis-with-shodan --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/performing-ip-reputation-analysis-with-shodan .opencode/skills/performing-ip-reputation-analysis-with-shodan && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "performing-ip-reputation-analysis-with-shodan" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-ip-reputation-analysis-with-shodan into .opencode/skills/performing-ip-reputation-analysis-with-shodan/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-ip-reputation-analysis-with-shodan", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
performing-ip-reputation-analysis-with-shodanAnalyze IP address reputation using the Shodan API to identify open ports, running services, known vulnerabilities, and hosting context for threat intelligence enrichment and incident triage.
Performing Ip Reputation Analysis With Shodan is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Analyze IP address reputation using the Shodan API to identify open ports, running services, known vulnerabilities, and hosting context for threat intelligence enrichment and incident triage.
Its SKILL.md is about 3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Security, covering OSINT. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
internetdb.shodan.ioAlso links to:
developer.shodan.iogithub.comquery.aikb.torq.iosupport.recordedfuture.comFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Performing Ip Reputation Analysis With Shodan loads about 3k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 59 tokens; SKILL.md has 384 words of instructions outside code blocks.
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.
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); the scripts in this folder are not scanned.
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 384 words, ~2,954 tokens.
.claude/skills/performing-ip-reputation-analysis-with-shodan/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Shodan is the world's first search engine for internet-connected devices, continuously scanning the IPv4 and IPv6 address space to catalog open ports, running services, SSL certificates, and known vulnerabilities. This skill covers using the Shodan API and InternetDB free API to enrich IP addresses from security alerts, assess threat levels based on exposed services and vulnerabilities, identify hosting infrastructure patterns, and integrate IP reputation data into SOC triage and threat intelligence workflows.
shodan library (pip install shodan)Each IP record in Shodan contains: open ports and protocols, banner data (service responses), SSL/TLS certificate details, known CVE vulnerabilities, hostname(s) and reverse DNS, ASN and ISP information, geographic location, operating system fingerprint, and historical scan data showing changes over time.
Shodan's free InternetDB API (internetdb.shodan.io) provides quick IP lookups without authentication, returning open ports, hostnames, tags, CPEs, and known vulnerabilities. This is useful for high-volume enrichment where the full Shodan API would hit rate limits.
IP reputation is assessed by combining: number and type of open ports (unusual ports indicate compromise), vulnerable services (unpatched software with known CVEs), hosting type (residential, cloud, VPN/proxy, bulletproof hosting), historical activity (past associations with malware, scanning, spam), and geographic context (countries known for specific threat activity).
import shodan
import json
from datetime import datetime
class ShodanEnricher:
def __init__(self, api_key):
self.api = shodan.Shodan(api_key)
self.info = self.api.info()
print(f"[+] Shodan API initialized. Credits: {self.info.get('scan_credits', 0)}")
def enrich_ip(self, ip_address):
"""Full enrichment of an IP address via Shodan."""
try:
host = self.api.host(ip_address)
enrichment = {
"ip": ip_address,
"organization": host.get("org", ""),
"asn": host.get("asn", ""),
"isp": host.get("isp", ""),
"country": host.get("country_name", ""),
"country_code": host.get("country_code", ""),
"city": host.get("city", ""),
"latitude": host.get("latitude"),
"longitude": host.get("longitude"),
"os": host.get("os", ""),
"ports": host.get("ports", []),
"hostnames": host.get("hostnames", []),
"domains": host.get("domains", []),
"vulns": host.get("vulns", []),
"tags": host.get("tags", []),
"last_update": host.get("last_update", ""),
"services": [],
}
for service in host.get("data", []):
svc = {
"port": service.get("port", 0),
"transport": service.get("transport", "tcp"),
"product": service.get("product", ""),
"version": service.get("version", ""),
"module": service.get("_shodan", {}).get("module", ""),
"banner": service.get("data", "")[:200],
}
if "ssl" in service:
svc["ssl_subject"] = service["ssl"].get("cert", {}).get("subject", {})
svc["ssl_issuer"] = service["ssl"].get("cert", {}).get("issuer", {})
svc["ssl_expires"] = service["ssl"].get("cert", {}).get("expires", "")
enrichment["services"].append(svc)
# Calculate reputation score
enrichment["reputation"] = self._calculate_reputation(enrichment)
print(f"[+] {ip_address}: {len(enrichment['ports'])} ports, "
f"{len(enrichment['vulns'])} vulns, "
f"reputation: {enrichment['reputation']['level']}")
return enrichment
except shodan.APIError as e:
print(f"[-] Shodan error for {ip_address}: {e}")
return None
def _calculate_reputation(self, data):
"""Calculate IP reputation score based on Shodan data."""
score = 0
factors = []
# Vulnerability assessment
vuln_count = len(data.get("vulns", []))
if vuln_count > 10:
score += 40
factors.append(f"{vuln_count} known vulnerabilities")
elif vuln_count > 5:
score += 25
factors.append(f"{vuln_count} known vulnerabilities")
elif vuln_count > 0:
score += 10
factors.append(f"{vuln_count} known vulnerabilities")
# Suspicious port analysis
suspicious_ports = {4444, 5555, 6666, 8888, 9090, 1234, 31337,
6667, 6697, 8080, 8443, 3128, 1080}
open_ports = set(data.get("ports", []))
sus_found = open_ports.intersection(suspicious_ports)
if sus_found:
score += 15
factors.append(f"suspicious ports: {sus_found}")
# Tag-based assessment
malicious_tags = {"self-signed", "cloud", "vpn", "proxy", "tor"}
tags = set(data.get("tags", []))
mal_tags = tags.intersection(malicious_tags)
if mal_tags:
score += 10
factors.append(f"tags: {mal_tags}")
# Too many open ports
port_count = len(data.get("ports", []))
if port_count > 20:
score += 15
factors.append(f"excessive open ports ({port_count})")
level = (
"critical" if score >= 50
else "high" if score >= 35
else "medium" if score >= 15
else "low"
)
return {"score": score, "level": level, "factors": factors}
def enrich_ip_free(self, ip_address):
"""Quick IP enrichment using free InternetDB API."""
import requests
resp = requests.get(f"https://internetdb.shodan.io/{ip_address}", timeout=10)
if resp.status_code == 200:
data = resp.json()
print(f"[+] InternetDB: {ip_address} -> "
f"{len(data.get('ports', []))} ports, "
f"{len(data.get('vulns', []))} vulns")
return data
return None
enricher = ShodanEnricher("YOUR_SHODAN_API_KEY")
result = enricher.enrich_ip("8.8.8.8")
print(json.dumps(result, indent=2, default=str))import time
def batch_ip_reputation(enricher, ip_list, output_file="ip_reputation.json"):
"""Check reputation for a list of IP addresses."""
results = []
for i, ip in enumerate(ip_list):
result = enricher.enrich_ip(ip)
if result:
results.append(result)
if (i + 1) % 10 == 0:
print(f" [{i+1}/{len(ip_list)}] Processed")
time.sleep(1) # Rate limiting
# Sort by reputation score (highest risk first)
results.sort(key=lambda x: x.get("reputation", {}).get("score", 0), reverse=True)
with open(output_file, "w") as f:
json.dump(results, f, indent=2, default=str)
# Summary
levels = {"critical": 0, "high": 0, "medium": 0, "low": 0}
for r in results:
level = r.get("reputation", {}).get("level", "low")
levels[level] += 1
print(f"\n=== Batch Reputation Summary ===")
print(f"Total IPs: {len(results)}")
for level, count in levels.items():
print(f" {level.upper()}: {count}")
return results
suspicious_ips = ["203.0.113.1", "198.51.100.5", "192.0.2.100"]
results = batch_ip_reputation(enricher, suspicious_ips)def correlate_infrastructure(enricher, ip_address):
"""Find related infrastructure based on shared attributes."""
host_data = enricher.enrich_ip(ip_address)
if not host_data:
return {}
correlations = {
"same_org": [],
"same_asn": [],
"shared_ssl": [],
}
# Search for same organization
org = host_data.get("organization", "")
if org:
try:
results = enricher.api.search(f'org:"{org}"', limit=20)
for match in results.get("matches", []):
correlations["same_org"].append({
"ip": match.get("ip_str", ""),
"port": match.get("port", 0),
"product": match.get("product", ""),
})
except shodan.APIError:
pass
# Search for same SSL certificate
for service in host_data.get("services", []):
ssl_subject = service.get("ssl_subject", {})
if ssl_subject:
cn = ssl_subject.get("CN", "")
if cn:
try:
results = enricher.api.search(f'ssl.cert.subject.CN:"{cn}"', limit=20)
for match in results.get("matches", []):
correlations["shared_ssl"].append({
"ip": match.get("ip_str", ""),
"cn": cn,
})
except shodan.APIError:
pass
print(f"[+] Infrastructure correlations for {ip_address}:")
print(f" Same org: {len(correlations['same_org'])} hosts")
print(f" Shared SSL: {len(correlations['shared_ssl'])} hosts")
return correlations© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (scripts, references) in skills/performing-ip-reputation-analysis-with-shodan of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Performing Ip Reputation Analysis With Shodan 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Performing Ip Reputation Analysis With Shodan this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Metabigor OSINT Reconj3ssie/metabigor | 1.9k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Ctf Osintljagiello/ctf-skills | 3.4k | 1 repos | ~2.3k | Automated safety check: Notes | MIT | |
| ShadowBroker Intelligence ClientBigBodyCobain/Shadowbroker | 11k | — | ~8.9k | Automated safety check: Warn | AGPL-3.0 | |
| Awesome Osint Operatorshoyann/RZK-The-Hunter | 141 | — | ~4.8k | Automated safety check: Pass | CC-BY-SA-4.0 | |
| Run Claude Osintelementalsouls/Claude-OSINT | 2.8k | — | ~1.2k | Automated safety check: Pass | MIT |
j3ssie/metabigor
Operates the metabigor CLI to map a target's network ranges, subdomains, ports, related domains, CDNs and archived URLs from free sources without API keys.
ljagiello/ctf-skills
Provides open source intelligence techniques for CTF challenges.
BigBodyCobain/Shadowbroker
Lets an agent query a ShadowBroker OSINT platform for tracked flights, ships, satellites and news, and place its findings on the map as intel pins.
shoyann/RZK-The-Hunter
Ethical, evidence-first OSINT planning, tool selection, verification, monitoring, reporting, and guarded official wanted/fugitive-person location intelligence using a structured catalog adapted from…
elementalsouls/Claude-OSINT
Build, validate, and run the claude-osint skills repo — check SKILL.md frontmatter, run the secretscan.py and h1reference.py helpers, run sync-skill-content.sh, run the smoke test.
smixs/osint-skill
Conduct deep OSINT research on individuals. An agent skill from smixs/osint-skill.
mukul975/Anthropic-Cybersecurity-Skills
Weighs infrastructure, TTP, malware code and timing evidence with the Diamond Model and competing hypotheses to reach a confidence-rated attribution.
mukul975/Anthropic-Cybersecurity-Skills
Walks through reverse engineering Go-compiled malware in Ghidra: parsing buildinfo and pclntab, recovering stripped function names and extracting dependencies.
mukul975/Anthropic-Cybersecurity-Skills
Guides forensic analysis of Windows LNK shortcut files and Jump Lists with LECmd, JLECmd and manual parsing to show file access and program execution.
mukul975/Anthropic-Cybersecurity-Skills
Hunts Windows malware persistence with Sysinternals Autoruns, covering run keys, services, scheduled tasks and drivers, with baseline comparison.
mukul975/Anthropic-Cybersecurity-Skills
Guides a Windows forensic examination of the NTFS Master File Table to recover deleted-file evidence, build timelines and spot timestomping.
mukul975/Anthropic-Cybersecurity-Skills
Detects DNS tunneling, ICMP exfiltration and HTTP-based covert channels in packet captures and DNS logs when hunting for hidden command-and-control traffic.
Categories
Analyze IP address reputation using the Shodan API to identify open ports, running services, known vulnerabilities, and hosting context for threat intelligence enrichment and incident triage. Performing Ip Reputation Analysis With Shodan is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Analyze IP address reputation using the Shodan API to identify open ports, running services, known vulnerabilities, and hosting context for threat intelligence enrichment and incident triage.
Performing Ip Reputation Analysis With Shodan fits situations like: tasks that involve OSINT.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-ip-reputation-analysis-with-shodan -a claude-code`. Or copy the skill folder (skills/performing-ip-reputation-analysis-with-shodan in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-ip-reputation-analysis-with-shodan in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-ip-reputation-analysis-with-shodan -a codex`. Or copy the skill folder (skills/performing-ip-reputation-analysis-with-shodan in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-ip-reputation-analysis-with-shodan in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-ip-reputation-analysis-with-shodan -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-ip-reputation-analysis-with-shodan, .gemini/skills/performing-ip-reputation-analysis-with-shodan, .github/skills/performing-ip-reputation-analysis-with-shodan and .opencode/skills/performing-ip-reputation-analysis-with-shodan in your project.
Going by SKILL.md and its folder, Performing Ip Reputation Analysis With Shodan needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3; A credential in YOUR_SHODAN_API_KEY.
SKILL.md names 6 domains. In commands or code: internetdb.shodan.io; the agent is likely to contact it when it follows the instructions. As links in the text: developer.shodan.io, github.com, query.ai, kb.torq.io and support.recordedfuture.com. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Performing Ip Reputation Analysis With Shodan is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3k tokens (SKILL.md is roughly 12k 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 290 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Performing Ip Reputation Analysis With Shodan: Metabigor OSINT Recon (j3ssie/metabigor, 1.9k stars), Ctf Osint (ljagiello/ctf-skills, 3.4k stars), ShadowBroker Intelligence Client (BigBodyCobain/Shadowbroker, 11k stars) and Awesome Osint Operator (shoyann/RZK-The-Hunter, 141 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.