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
Build threat actor profiles by collecting OSINT from vendor reports, paste sites, dark web forums, social media, and code repos, correlating indicators, mapping adversary infrastructure with tools…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-actor-profile-from-osint -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills building-threat-actor-profile-from-osint --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/building-threat-actor-profile-from-osint .claude/skills/building-threat-actor-profile-from-osint && 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 "building-threat-actor-profile-from-osint" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-threat-actor-profile-from-osint into .claude/skills/building-threat-actor-profile-from-osint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-threat-actor-profile-from-osint", 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/building-threat-actor-profile-from-osintType 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 building-threat-actor-profile-from-osint -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills building-threat-actor-profile-from-osint --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/building-threat-actor-profile-from-osint .agents/skills/building-threat-actor-profile-from-osint && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "building-threat-actor-profile-from-osint" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-threat-actor-profile-from-osint into .agents/skills/building-threat-actor-profile-from-osint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-threat-actor-profile-from-osint", 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 building-threat-actor-profile-from-osint -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills building-threat-actor-profile-from-osint --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/building-threat-actor-profile-from-osint .cursor/skills/building-threat-actor-profile-from-osint && 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 "building-threat-actor-profile-from-osint" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-threat-actor-profile-from-osint into .cursor/skills/building-threat-actor-profile-from-osint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-threat-actor-profile-from-osint", 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/building-threat-actor-profile-from-osint--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 building-threat-actor-profile-from-osint -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills building-threat-actor-profile-from-osint --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/building-threat-actor-profile-from-osint .gemini/skills/building-threat-actor-profile-from-osint && 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 "building-threat-actor-profile-from-osint" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-threat-actor-profile-from-osint into .gemini/skills/building-threat-actor-profile-from-osint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-threat-actor-profile-from-osint", 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 building-threat-actor-profile-from-osintInstalls 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 building-threat-actor-profile-from-osint -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/building-threat-actor-profile-from-osint .github/skills/building-threat-actor-profile-from-osint && 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 "building-threat-actor-profile-from-osint" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-threat-actor-profile-from-osint into .github/skills/building-threat-actor-profile-from-osint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-threat-actor-profile-from-osint", 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 building-threat-actor-profile-from-osint -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 building-threat-actor-profile-from-osint --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/building-threat-actor-profile-from-osint .opencode/skills/building-threat-actor-profile-from-osint && 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 "building-threat-actor-profile-from-osint" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-threat-actor-profile-from-osint into .opencode/skills/building-threat-actor-profile-from-osint/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-threat-actor-profile-from-osint", 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.
building-threat-actor-profile-from-osintBuild threat actor profiles by collecting OSINT from vendor reports, paste sites, dark web forums, social media, and code repos, correlating indicators, mapping adversary infrastructure with tools…
Building Threat Actor Profile From Osint is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Build threat actor profiles by collecting OSINT from vendor reports, paste sites, dark web forums, social media, and code repos, correlating indicators, mapping adversary infrastructure with tools like Maltego and SpiderFoot, and producing structured dossiers of motivations, capabilities, infrastructure, and TTPs. Use when performing attribution or building an adversary dossier from open-source intelligence.
Its SKILL.md is about 3.8k 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.
5 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.
From 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:
otx.alienvault.comvirustotal.comapi.shodan.ioAlso links to:
github.comhuntress.comcrowdstrike.comattack.mitre.orgshadowdragon.ioisaca.orgFrom 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.
Building Threat Actor Profile From Osint loads about 3.8k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 405 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). 405 words, ~3,801 tokens.
.claude/skills/building-threat-actor-profile-from-osint/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Threat actor profiling using OSINT systematically gathers and analyzes publicly available information to build comprehensive profiles of adversary groups. This skill covers collecting intelligence from public sources (security vendor reports, paste sites, dark web forums, social media, code repositories), correlating indicators across platforms, mapping adversary infrastructure using tools like Maltego and SpiderFoot, and producing structured threat actor dossiers that inform defensive strategies and attribution assessments.
shodan, requests, beautifulsoup4, maltego-trx, stix2 librariesPrimary intelligence sources include vendor threat reports (Mandiant, CrowdStrike, Recorded Future, Talos), government advisories (CISA, NSA, FBI joint advisories), academic research papers, malware repositories (VirusTotal, MalwareBazaar, Malpedia), paste sites (Pastebin, GitHub Gists), code repositories, social media accounts, dark web forums, and certificate transparency logs.
Profiling uses the Diamond Model (adversary, infrastructure, capability, victim), Analysis of Competing Hypotheses (ACH) for attribution confidence, and MITRE ATT&CK mapping for TTP documentation. Link analysis tools like Maltego visualize relationships between indicators, infrastructure, and actors.
A complete threat actor profile includes: aliases and naming conventions across vendors, suspected origin and sponsorship, motivation (espionage, financial, hacktivism, disruption), targeted sectors and geographies, known campaigns and operations, TTPs mapped to ATT&CK, toolset and malware families, infrastructure patterns, and historical timeline.
import requests
import json
from datetime import datetime
class OSINTCollector:
def __init__(self, vt_key=None, otx_key=None, shodan_key=None):
self.vt_key = vt_key
self.otx_key = otx_key
self.shodan_key = shodan_key
self.collected_data = {"sources": [], "indicators": [], "reports": []}
def search_alienvault_otx(self, actor_name):
"""Search AlienVault OTX for threat actor pulses."""
headers = {"X-OTX-API-KEY": self.otx_key}
url = f"https://otx.alienvault.com/api/v1/search/pulses?q={actor_name}&limit=20"
resp = requests.get(url, headers=headers)
if resp.status_code == 200:
data = resp.json()
pulses = data.get("results", [])
for pulse in pulses:
self.collected_data["reports"].append({
"source": "AlienVault OTX",
"title": pulse.get("name", ""),
"created": pulse.get("created", ""),
"description": pulse.get("description", "")[:500],
"tags": pulse.get("tags", []),
"indicators_count": len(pulse.get("indicators", [])),
"pulse_id": pulse.get("id", ""),
})
for ioc in pulse.get("indicators", []):
self.collected_data["indicators"].append({
"type": ioc.get("type", ""),
"value": ioc.get("indicator", ""),
"source": "OTX",
"pulse": pulse.get("name", ""),
})
print(f"[+] OTX: Found {len(pulses)} pulses for '{actor_name}'")
return self.collected_data
def search_virustotal_collections(self, actor_name):
"""Search VirusTotal for threat actor collections."""
headers = {"x-apikey": self.vt_key}
url = "https://www.virustotal.com/api/v3/intelligence/search"
params = {"query": f"tag:{actor_name.lower().replace(' ', '-')}"}
resp = requests.get(url, headers=headers, params=params)
if resp.status_code == 200:
results = resp.json().get("data", [])
print(f"[+] VT: Found {len(results)} samples tagged '{actor_name}'")
return results
return []
def query_shodan_infrastructure(self, indicators):
"""Query Shodan for infrastructure details on IPs."""
results = []
for ip in indicators:
url = f"https://api.shodan.io/shodan/host/{ip}?key={self.shodan_key}"
resp = requests.get(url)
if resp.status_code == 200:
data = resp.json()
results.append({
"ip": ip,
"org": data.get("org", ""),
"asn": data.get("asn", ""),
"country": data.get("country_code", ""),
"ports": data.get("ports", []),
"hostnames": data.get("hostnames", []),
"os": data.get("os", ""),
"last_update": data.get("last_update", ""),
})
print(f"[+] Shodan: Enriched {len(results)} IPs")
return results
collector = OSINTCollector(
vt_key="YOUR_VT_KEY",
otx_key="YOUR_OTX_KEY",
shodan_key="YOUR_SHODAN_KEY",
)
data = collector.search_alienvault_otx("APT29")from stix2 import ThreatActor, IntrusionSet, Identity, Relationship, Bundle
from datetime import datetime
# Create STIX 2.1 Threat Actor profile
identity = Identity(
name="Cybersecurity Analyst",
identity_class="individual",
)
threat_actor = ThreatActor(
name="APT29",
description="APT29 (also known as Cozy Bear, Midnight Blizzard, NOBELIUM, The Dukes) "
"is a Russian state-sponsored threat group attributed to Russia's Foreign "
"Intelligence Service (SVR). Active since at least 2008, the group conducts "
"cyber espionage targeting government, diplomatic, think tank, healthcare, "
"and energy organizations primarily in NATO countries.",
aliases=["Cozy Bear", "Midnight Blizzard", "NOBELIUM", "The Dukes",
"Dark Halo", "UNC2452", "YTTRIUM", "Blue Kitsune", "Iron Ritual"],
roles=["agent"],
sophistication="strategic",
resource_level="government",
primary_motivation="organizational-gain",
secondary_motivations=["ideology"],
threat_actor_types=["nation-state"],
goals=["Intelligence collection on foreign governments",
"Long-term persistent access to high-value targets",
"Supply chain compromise for broad access"],
created_by_ref=identity.id,
)
intrusion_set = IntrusionSet(
name="APT29",
description="Intrusion set tracked as APT29, attributed to Russian SVR.",
aliases=["Cozy Bear", "Midnight Blizzard"],
first_seen="2008-01-01T00:00:00Z",
goals=["espionage"],
resource_level="government",
primary_motivation="organizational-gain",
)
relationship = Relationship(
relationship_type="attributed-to",
source_ref=intrusion_set.id,
target_ref=threat_actor.id,
)
bundle = Bundle(objects=[identity, threat_actor, intrusion_set, relationship])
with open("apt29_profile.json", "w") as f:
f.write(bundle.serialize(pretty=True))
print("[+] STIX profile saved: apt29_profile.json")from attackcti import attack_client
lift = attack_client()
apt29_techs = lift.get_techniques_used_by_group("G0016")
profile_ttps = {
"initial_access": [],
"execution": [],
"persistence": [],
"defense_evasion": [],
"credential_access": [],
"lateral_movement": [],
"collection": [],
"c2": [],
"exfiltration": [],
}
tactic_mapping = {
"initial-access": "initial_access",
"execution": "execution",
"persistence": "persistence",
"defense-evasion": "defense_evasion",
"credential-access": "credential_access",
"lateral-movement": "lateral_movement",
"collection": "collection",
"command-and-control": "c2",
"exfiltration": "exfiltration",
}
for tech in apt29_techs:
tech_id = ""
for ref in tech.get("external_references", []):
if ref.get("source_name") == "mitre-attack":
tech_id = ref.get("external_id", "")
break
for phase in tech.get("kill_chain_phases", []):
tactic = phase.get("phase_name", "")
key = tactic_mapping.get(tactic)
if key:
profile_ttps[key].append({
"id": tech_id,
"name": tech.get("name", ""),
"description": tech.get("description", "")[:200],
})
print("=== APT29 TTP Profile ===")
for tactic, techs in profile_ttps.items():
if techs:
print(f"\n{tactic.upper()} ({len(techs)} techniques):")
for t in techs[:5]:
print(f" {t['id']}: {t['name']}")import subprocess
import json
def run_spiderfoot_scan(target, scan_name="actor_recon"):
"""Run SpiderFoot scan against target domain or IP."""
cmd = [
"python3", "-m", "spiderfoot", "-s", target,
"-m", "sfp_dns,sfp_whois,sfp_shodan,sfp_virustotal,sfp_certspotter",
"-o", "json", "-q",
]
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
if result.returncode == 0:
findings = json.loads(result.stdout) if result.stdout else []
print(f"[+] SpiderFoot: {len(findings)} findings for {target}")
return findings
return []
def correlate_infrastructure(indicators):
"""Find relationships between infrastructure indicators."""
ip_to_domains = {}
domain_to_ips = {}
registrar_patterns = {}
for indicator in indicators:
ioc_type = indicator.get("type", "")
value = indicator.get("value", "")
if ioc_type == "IP_ADDRESS":
if value not in ip_to_domains:
ip_to_domains[value] = set()
elif ioc_type == "INTERNET_NAME":
if value not in domain_to_ips:
domain_to_ips[value] = set()
# Identify shared hosting, registration patterns
shared_ips = {ip: domains for ip, domains in ip_to_domains.items() if len(domains) > 1}
print(f"[+] Shared infrastructure IPs: {len(shared_ips)}")
return {"shared_ips": shared_ips, "registrar_patterns": registrar_patterns}def generate_dossier(actor_name, profile_data, ttp_data, infrastructure_data):
dossier = f"""# Threat Actor Dossier: {actor_name}
## Generated: {datetime.now().isoformat()}
## Executive Summary
{profile_data.get('description', '')}
## Attribution
- **Suspected Origin**: {profile_data.get('origin', 'Unknown')}
- **Sponsorship**: {profile_data.get('sponsorship', 'Unknown')}
- **Confidence Level**: {profile_data.get('confidence', 'Medium')}
- **First Observed**: {profile_data.get('first_seen', 'Unknown')}
## Aliases
{', '.join(profile_data.get('aliases', []))}
## Targeting
- **Sectors**: {', '.join(profile_data.get('sectors', []))}
- **Regions**: {', '.join(profile_data.get('regions', []))}
- **Motivation**: {profile_data.get('motivation', 'Unknown')}
## TTP Summary (MITRE ATT&CK)
"""
for tactic, techs in ttp_data.items():
if techs:
dossier += f"\n### {tactic.replace('_', ' ').title()}\n"
for t in techs:
dossier += f"- **{t['id']}**: {t['name']}\n"
dossier += f"""
## Infrastructure Patterns
- Known C2 servers: {len(infrastructure_data.get('c2_servers', []))}
- Domain patterns: {', '.join(infrastructure_data.get('domain_patterns', []))}
- Hosting preferences: {', '.join(infrastructure_data.get('hosting', []))}
## Recommendations
1. Monitor for known TTPs in EDR/SIEM
2. Block known infrastructure indicators
3. Hunt for behavioral patterns in network traffic
4. Implement detections for top technique gaps
"""
with open(f"{actor_name.lower().replace(' ', '_')}_dossier.md", "w") as f:
f.write(dossier)
print(f"[+] Dossier saved for {actor_name}")
generate_dossier("APT29", {
"description": "Russian state-sponsored espionage group attributed to SVR",
"origin": "Russia", "sponsorship": "SVR (Foreign Intelligence Service)",
"confidence": "High", "first_seen": "2008",
"aliases": ["Cozy Bear", "Midnight Blizzard", "NOBELIUM", "The Dukes"],
"sectors": ["Government", "Diplomatic", "Think Tank", "Healthcare", "Energy"],
"regions": ["North America", "Europe", "NATO countries"],
"motivation": "Espionage",
}, profile_ttps, {"c2_servers": [], "domain_patterns": [], "hosting": []})© 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/building-threat-actor-profile-from-osint of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Building Threat Actor Profile From Osint 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 |
|---|---|---|---|---|---|---|
| Building Threat Actor Profile From Osint this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.8k | 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
Build threat actor profiles by collecting OSINT from vendor reports, paste sites, dark web forums, social media, and code repos, correlating indicators, mapping adversary infrastructure with tools…. Building Threat Actor Profile From Osint is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Build threat actor profiles by collecting OSINT from vendor reports, paste sites, dark web forums, social media, and code repos, correlating indicators, mapping adversary infrastructure with tools like Maltego and SpiderFoot, and producing structured dossiers of motivations, capabilities, infrastructure, and TTPs.
Building Threat Actor Profile From Osint fits situations like: performing attribution; building an adversary dossier from open-source intelligence.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-actor-profile-from-osint -a claude-code`. Or copy the skill folder (skills/building-threat-actor-profile-from-osint in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/building-threat-actor-profile-from-osint in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-threat-actor-profile-from-osint -a codex`. Or copy the skill folder (skills/building-threat-actor-profile-from-osint in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/building-threat-actor-profile-from-osint 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 building-threat-actor-profile-from-osint -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/building-threat-actor-profile-from-osint, .gemini/skills/building-threat-actor-profile-from-osint, .github/skills/building-threat-actor-profile-from-osint and .opencode/skills/building-threat-actor-profile-from-osint in your project.
Going by SKILL.md and its folder, Building Threat Actor Profile From Osint needs Python for the scripts in its folder. Our summary lists: Python 3; A credential in YOUR_VT_KEY; A credential in YOUR_OTX_KEY.
SKILL.md names 9 domains. In commands or code: otx.alienvault.com, virustotal.com and api.shodan.io; the agent is likely to contact these when it follows the instructions. As links in the text: github.com, huntress.com, crowdstrike.com, attack.mitre.org, shadowdragon.io and isaca.org. 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.
Building Threat Actor Profile From Osint 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 3.8k tokens (SKILL.md is roughly 15k 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 460 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Building Threat Actor Profile From Osint: 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.