Osint Methodology
elementalsouls/Claude-OSINT
Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments.
Agent skill
Build an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native threat intel platform) using its internal enrichment connectors to pull context from VirusTotal, Shodan, AbuseIPDB, and…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-ioc-enrichment-pipeline-with-opencti -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills building-ioc-enrichment-pipeline-with-opencti --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-ioc-enrichment-pipeline-with-opencti .claude/skills/building-ioc-enrichment-pipeline-with-opencti && 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-ioc-enrichment-pipeline-with-opencti" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-ioc-enrichment-pipeline-with-opencti into .claude/skills/building-ioc-enrichment-pipeline-with-opencti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-ioc-enrichment-pipeline-with-opencti", 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-ioc-enrichment-pipeline-with-openctiType 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-ioc-enrichment-pipeline-with-opencti -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills building-ioc-enrichment-pipeline-with-opencti --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-ioc-enrichment-pipeline-with-opencti .agents/skills/building-ioc-enrichment-pipeline-with-opencti && 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-ioc-enrichment-pipeline-with-opencti" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-ioc-enrichment-pipeline-with-opencti into .agents/skills/building-ioc-enrichment-pipeline-with-opencti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-ioc-enrichment-pipeline-with-opencti", 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-ioc-enrichment-pipeline-with-opencti -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills building-ioc-enrichment-pipeline-with-opencti --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-ioc-enrichment-pipeline-with-opencti .cursor/skills/building-ioc-enrichment-pipeline-with-opencti && 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-ioc-enrichment-pipeline-with-opencti" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-ioc-enrichment-pipeline-with-opencti into .cursor/skills/building-ioc-enrichment-pipeline-with-opencti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-ioc-enrichment-pipeline-with-opencti", 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-ioc-enrichment-pipeline-with-opencti--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-ioc-enrichment-pipeline-with-opencti -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills building-ioc-enrichment-pipeline-with-opencti --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-ioc-enrichment-pipeline-with-opencti .gemini/skills/building-ioc-enrichment-pipeline-with-opencti && 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-ioc-enrichment-pipeline-with-opencti" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-ioc-enrichment-pipeline-with-opencti into .gemini/skills/building-ioc-enrichment-pipeline-with-opencti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-ioc-enrichment-pipeline-with-opencti", 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-ioc-enrichment-pipeline-with-openctiInstalls 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-ioc-enrichment-pipeline-with-opencti -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-ioc-enrichment-pipeline-with-opencti .github/skills/building-ioc-enrichment-pipeline-with-opencti && 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-ioc-enrichment-pipeline-with-opencti" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-ioc-enrichment-pipeline-with-opencti into .github/skills/building-ioc-enrichment-pipeline-with-opencti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-ioc-enrichment-pipeline-with-opencti", 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-ioc-enrichment-pipeline-with-opencti -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-ioc-enrichment-pipeline-with-opencti --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-ioc-enrichment-pipeline-with-opencti .opencode/skills/building-ioc-enrichment-pipeline-with-opencti && 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-ioc-enrichment-pipeline-with-opencti" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/building-ioc-enrichment-pipeline-with-opencti into .opencode/skills/building-ioc-enrichment-pipeline-with-opencti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "building-ioc-enrichment-pipeline-with-opencti", 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-ioc-enrichment-pipeline-with-openctiBuild an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native threat intel platform) using its internal enrichment connectors to pull context from VirusTotal, Shodan, AbuseIPDB, and…
Building Ioc Enrichment Pipeline With Opencti is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Build an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native threat intel platform) using its internal enrichment connectors to pull context from VirusTotal, Shodan, AbuseIPDB, and GreyNoise, correlate indicators with known actors/campaigns, and score them for analyst prioritization. Use when deploying OpenCTI or automating enrichment and confidence scoring of newly ingested indicators.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts, reference files and assets (for example `assets/template.md`, `references/api-reference.md` and `references/standards.md`).
It sits in Product & Project Management, covering OSINT and Prioritization frameworks. It works with Docker. 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.
2 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 2 files 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:
api.greynoise.ioapi.securitytrails.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
OPENCTI_TOKENAPP__ADMIN__PASSWORDAPP__ADMIN__TOKENVIRUSTOTAL_TOKENSHODAN_TOKENABUSEIPDB_API_KEYGREYNOISE_API_KEYSECURITYTRAILS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Building Ioc Enrichment Pipeline With Opencti loads about 2.5k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 111 tokens; SKILL.md has 297 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). 297 words, ~2,473 tokens.
.claude/skills/building-ioc-enrichment-pipeline-with-opencti/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.OpenCTI is an open-source platform for managing cyber threat intelligence knowledge, built on STIX 2.1 as its native data model. This skill covers building an automated IOC enrichment pipeline using OpenCTI's connector ecosystem to enrich indicators with context from VirusTotal, Shodan, AbuseIPDB, GreyNoise, and other sources. The pipeline automatically enriches newly ingested indicators, correlates them with known threat actors and campaigns, and scores them for analyst prioritization.
pycti libraryOpenCTI uses a GraphQL API frontend backed by ElasticSearch for storage and Redis/RabbitMQ for connector communication. Data is natively stored as STIX 2.1 objects with relationships. Connectors are categorized as: External Import (feed ingestion), Internal Import (file parsing), Internal Enrichment (context addition), and Stream (real-time export).
Internal enrichment connectors are triggered automatically when new observables are created or manually by analysts. Each connector receives STIX objects, queries external services, and returns STIX 2.1 bundles that augment the original observable with additional context, labels, and relationships.
OpenCTI uses a 0-100 confidence scale for indicators. Enrichment connectors can update confidence scores based on external validation: VirusTotal detection ratios, Shodan exposure data, AbuseIPDB report counts, and GreyNoise classification results.
# docker-compose.yml (key services)
version: '3'
services:
opencti:
image: opencti/platform:6.4.4
environment:
- APP__PORT=8080
- APP__ADMIN__EMAIL=admin@opencti.io
- APP__ADMIN__PASSWORD=ChangeMeNow
- APP__ADMIN__TOKEN=your-admin-token-uuid
- ELASTICSEARCH__URL=http://elasticsearch:9200
- MINIO__ENDPOINT=minio
- RABBITMQ__HOSTNAME=rabbitmq
ports:
- "8080:8080"
depends_on:
- elasticsearch
- minio
- rabbitmq
- redis
connector-virustotal:
image: opencti/connector-virustotal:6.4.4
environment:
- OPENCTI_URL=http://opencti:8080
- OPENCTI_TOKEN=your-admin-token-uuid
- CONNECTOR_ID=connector-virustotal-id
- CONNECTOR_NAME=VirusTotal
- CONNECTOR_SCOPE=StixFile,Artifact,IPv4-Addr,Domain-Name,Url
- CONNECTOR_AUTO=true
- VIRUSTOTAL_TOKEN=your-vt-api-key
- VIRUSTOTAL_MAX_TLP=TLP:AMBER
connector-shodan:
image: opencti/connector-shodan:6.4.4
environment:
- OPENCTI_URL=http://opencti:8080
- OPENCTI_TOKEN=your-admin-token-uuid
- CONNECTOR_ID=connector-shodan-id
- CONNECTOR_NAME=Shodan
- CONNECTOR_SCOPE=IPv4-Addr
- CONNECTOR_AUTO=true
- SHODAN_TOKEN=your-shodan-api-key
- SHODAN_MAX_TLP=TLP:AMBER
connector-abuseipdb:
image: opencti/connector-abuseipdb:6.4.4
environment:
- OPENCTI_URL=http://opencti:8080
- OPENCTI_TOKEN=your-admin-token-uuid
- CONNECTOR_ID=connector-abuseipdb-id
- CONNECTOR_NAME=AbuseIPDB
- CONNECTOR_SCOPE=IPv4-Addr
- CONNECTOR_AUTO=true
- ABUSEIPDB_API_KEY=your-abuseipdb-keyimport os
from pycti import OpenCTIConnectorHelper, get_config_variable
from stix2 import (
Bundle, Indicator, Note, Relationship,
IPv4Address, DomainName
)
import requests
class CustomEnrichmentConnector:
def __init__(self):
config = {
"opencti": {
"url": os.environ.get("OPENCTI_URL"),
"token": os.environ.get("OPENCTI_TOKEN"),
},
"connector": {
"id": os.environ.get("CONNECTOR_ID"),
"name": "CustomEnrichment",
"scope": "IPv4-Addr,Domain-Name,Url",
"auto": True,
"type": "INTERNAL_ENRICHMENT",
},
}
self.helper = OpenCTIConnectorHelper(config)
self.helper.listen(self._process_message)
def _process_message(self, data):
entity_id = data["entity_id"]
stix_object = self.helper.api.stix_cyber_observable.read(id=entity_id)
if not stix_object:
return "Observable not found"
observable_type = stix_object["entity_type"]
observable_value = stix_object.get("value", "")
enrichment_results = []
if observable_type == "IPv4-Addr":
enrichment_results = self._enrich_ip(observable_value, entity_id)
elif observable_type == "Domain-Name":
enrichment_results = self._enrich_domain(observable_value, entity_id)
if enrichment_results:
bundle = Bundle(objects=enrichment_results, allow_custom=True)
self.helper.send_stix2_bundle(bundle.serialize())
return "Enrichment completed"
def _enrich_ip(self, ip_address, entity_id):
"""Enrich IP address with GreyNoise, AbuseIPDB context."""
objects = []
# GreyNoise Community API
try:
gn_response = requests.get(
f"https://api.greynoise.io/v3/community/{ip_address}",
headers={"key": os.environ.get("GREYNOISE_API_KEY")},
timeout=30,
)
if gn_response.status_code == 200:
gn_data = gn_response.json()
classification = gn_data.get("classification", "unknown")
noise = gn_data.get("noise", False)
riot = gn_data.get("riot", False)
note_content = (
f"## GreyNoise Enrichment\n"
f"- Classification: {classification}\n"
f"- Internet Noise: {noise}\n"
f"- RIOT (Benign Service): {riot}\n"
f"- Name: {gn_data.get('name', 'N/A')}\n"
f"- Last Seen: {gn_data.get('last_seen', 'N/A')}"
)
note = Note(
content=note_content,
object_refs=[entity_id],
abstract=f"GreyNoise: {classification}",
allow_custom=True,
)
objects.append(note)
# Add labels based on classification
if classification == "malicious":
self.helper.api.stix_cyber_observable.add_label(
id=entity_id, label_name="greynoise:malicious"
)
elif riot:
self.helper.api.stix_cyber_observable.add_label(
id=entity_id, label_name="greynoise:benign-service"
)
except Exception as e:
self.helper.log_error(f"GreyNoise enrichment failed: {e}")
return objects
def _enrich_domain(self, domain, entity_id):
"""Enrich domain with WHOIS and DNS context."""
objects = []
try:
# Use SecurityTrails API for domain enrichment
st_response = requests.get(
f"https://api.securitytrails.com/v1/domain/{domain}",
headers={"APIKEY": os.environ.get("SECURITYTRAILS_API_KEY")},
timeout=30,
)
if st_response.status_code == 200:
st_data = st_response.json()
current_dns = st_data.get("current_dns", {})
a_records = [
r.get("ip") for r in current_dns.get("a", {}).get("values", [])
]
note_content = (
f"## SecurityTrails Enrichment\n"
f"- A Records: {', '.join(a_records)}\n"
f"- Alexa Rank: {st_data.get('alexa_rank', 'N/A')}\n"
f"- Hostname: {st_data.get('hostname', 'N/A')}"
)
note = Note(
content=note_content,
object_refs=[entity_id],
abstract=f"SecurityTrails: {domain}",
allow_custom=True,
)
objects.append(note)
except Exception as e:
self.helper.log_error(f"SecurityTrails enrichment failed: {e}")
return objects
if __name__ == "__main__":
connector = CustomEnrichmentConnector()© 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 7 other files (scripts, references, assets) in skills/building-ioc-enrichment-pipeline-with-opencti of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Building Ioc Enrichment Pipeline With Opencti 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 Ioc Enrichment Pipeline With Opencti this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Osint Methodologyelementalsouls/Claude-OSINT | 2.8k | — | ~8.7k | Automated safety check: Notes | MIT | |
| SherlockTommy-yw/RunbookHermes | 546 | 3 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Recon Osinthypnguyen1209/offensive-claude | 388 | — | ~2.2k | Automated safety check: Pass | MIT | |
| Vulnerability Managementcbrock84/headcount | 2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Assess AI System Riskcyberful/cyberful | 135 | — | ~566 | Automated safety check: Pass | AGPL-3.0 |
elementalsouls/Claude-OSINT
Comprehensive OSINT methodology for external red-team operations and authorized attack-surface assessments.
Tommy-yw/RunbookHermes
OSINT username search across 400+ social networks. An agent skill from Tommy-yw/RunbookHermes.
hypnguyen1209/offensive-claude
A skill your agent uses when mapping a target's external attack surface or gathering OSINT — subdomain enumeration, attack-surface mapping (httpx/katana/JS secrets), subdomain takeover…
cbrock84/headcount
Runs the loop from discovering a weakness to confirming it is fixed — scanning, triage, prioritization by real exploitability, remediation tracking, and patch policy.
cyberful/cyberful
Assess AI-system risk from architecture, intended use, affected actors, model limitations, data lineage, autonomy, human oversight, monitoring, and failure consequences.
alirezarezvani/claude-skills
Writes INVEST-checked user stories with acceptance criteria, splits epics, plans sprints from velocity and ranks the backlog with a weighted score.
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.
Works with
Categories
Build an automated IOC enrichment pipeline on OpenCTI (STIX 2.1 native threat intel platform) using its internal enrichment connectors to pull context from VirusTotal, Shodan, AbuseIPDB, and…. Building Ioc Enrichment Pipeline With Opencti is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.1 native threat intel platform) using its internal enrichment connectors to pull context from VirusTotal, Shodan, AbuseIPDB, and GreyNoise, correlate indicators with known actors/campaigns, and score them for analyst prioritization.
Building Ioc Enrichment Pipeline With Opencti fits situations like: deploying OpenCTI; automating enrichment and confidence scoring of newly ingested indicators.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-ioc-enrichment-pipeline-with-opencti -a claude-code`. Or copy the skill folder (skills/building-ioc-enrichment-pipeline-with-opencti in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/building-ioc-enrichment-pipeline-with-opencti in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-ioc-enrichment-pipeline-with-opencti -a codex`. Or copy the skill folder (skills/building-ioc-enrichment-pipeline-with-opencti in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/building-ioc-enrichment-pipeline-with-opencti 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-ioc-enrichment-pipeline-with-opencti -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-ioc-enrichment-pipeline-with-opencti, .gemini/skills/building-ioc-enrichment-pipeline-with-opencti, .github/skills/building-ioc-enrichment-pipeline-with-opencti and .opencode/skills/building-ioc-enrichment-pipeline-with-opencti in your project.
Going by SKILL.md and its folder, Building Ioc Enrichment Pipeline With Opencti needs Python for the scripts in its folder and credentials named OPENCTI_TOKEN, APP__ADMIN__PASSWORD, APP__ADMIN__TOKEN and VIRUSTOTAL_TOKEN. Our summary lists: Python 3; Docker; A credential in APP__ADMIN__TOKEN; A credential in OPENCTI_TOKEN.
SKILL.md names 2 domains. In commands or code: api.greynoise.io and api.securitytrails.com; the agent is likely to contact these when it follows the instructions. 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 Ioc Enrichment Pipeline With Opencti 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 2.5k tokens (SKILL.md is roughly 9.9k 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 2.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Building Ioc Enrichment Pipeline With Opencti: Osint Methodology (elementalsouls/Claude-OSINT, 2.8k stars), Sherlock (Tommy-yw/RunbookHermes, 546 stars), Recon Osint (hypnguyen1209/offensive-claude, 388 stars) and Vulnerability Management (cbrock84/headcount, 2k 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.