Osint Investigation
johnson7788/MultiUserClaw
Public-records OSINT investigation framework — SEC EDGAR filings, USAspending contracts, Senate lobbying, OFAC sanctions, ICIJ offshore leaks, NYC property records (ACRIS), OpenCorporates…
Agent skill
Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-stix-taxii-feed-integration -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-stix-taxii-feed-integration --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/implementing-stix-taxii-feed-integration .claude/skills/implementing-stix-taxii-feed-integration && 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 "implementing-stix-taxii-feed-integration" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-stix-taxii-feed-integration into .claude/skills/implementing-stix-taxii-feed-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-stix-taxii-feed-integration", 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/implementing-stix-taxii-feed-integrationType 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 implementing-stix-taxii-feed-integration -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-stix-taxii-feed-integration --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/implementing-stix-taxii-feed-integration .agents/skills/implementing-stix-taxii-feed-integration && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "implementing-stix-taxii-feed-integration" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-stix-taxii-feed-integration into .agents/skills/implementing-stix-taxii-feed-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-stix-taxii-feed-integration", 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 implementing-stix-taxii-feed-integration -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-stix-taxii-feed-integration --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/implementing-stix-taxii-feed-integration .cursor/skills/implementing-stix-taxii-feed-integration && 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 "implementing-stix-taxii-feed-integration" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-stix-taxii-feed-integration into .cursor/skills/implementing-stix-taxii-feed-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-stix-taxii-feed-integration", 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/implementing-stix-taxii-feed-integration--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 implementing-stix-taxii-feed-integration -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-stix-taxii-feed-integration --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/implementing-stix-taxii-feed-integration .gemini/skills/implementing-stix-taxii-feed-integration && 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 "implementing-stix-taxii-feed-integration" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-stix-taxii-feed-integration into .gemini/skills/implementing-stix-taxii-feed-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-stix-taxii-feed-integration", 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 implementing-stix-taxii-feed-integrationInstalls 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 implementing-stix-taxii-feed-integration -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/implementing-stix-taxii-feed-integration .github/skills/implementing-stix-taxii-feed-integration && 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 "implementing-stix-taxii-feed-integration" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-stix-taxii-feed-integration into .github/skills/implementing-stix-taxii-feed-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-stix-taxii-feed-integration", 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 implementing-stix-taxii-feed-integration -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 implementing-stix-taxii-feed-integration --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/implementing-stix-taxii-feed-integration .opencode/skills/implementing-stix-taxii-feed-integration && 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 "implementing-stix-taxii-feed-integration" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-stix-taxii-feed-integration into .opencode/skills/implementing-stix-taxii-feed-integration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-stix-taxii-feed-integration", 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.
implementing-stix-taxii-feed-integrationImplements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and…
Implementing Stix Taxii Feed Integration is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and standing up a local TAXII server with Medallion. Use when integrating a STIX/TAXII CTI feed into a SIEM or TIP, writing a TAXII client to poll for new indicators, or setting up TAXII collections for indicator exchange.
Its SKILL.md is about 2.7k 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 Security, covering OSINT and Security operations. It works with Python. 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 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:
cti-taxii.mitre.orgAlso links to:
docs.oasis-open.orgpypi.orgstix2.readthedocs.iogithub.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.
Implementing Stix Taxii Feed Integration loads about 2.7k tokens when it runs, and up to ~5.3k if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 383 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). 383 words, ~2,654 tokens.
.claude/skills/implementing-stix-taxii-feed-integration/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.STIX (Structured Threat Information eXpression) and TAXII (Trusted Automated eXchange of Intelligence Information) are OASIS open standards for representing and transporting cyber threat intelligence. This skill covers implementing a STIX/TAXII 2.1 feed consumer and producer using Python, configuring TAXII server discovery, collection management, polling for new intelligence, parsing STIX 2.1 objects, and integrating feeds into SIEM and TIP platforms.
taxii2-client, stix2, cti-taxii-client librariesTAXII defines a RESTful API with three service types:
STIX objects are categorized as:
A Bundle is a collection of STIX objects transmitted together. Bundles have a unique ID and contain an array of objects. TAXII collections serve bundles in response to GET requests.
from taxii2client.v21 import Server, Collection, as_pages
# Connect to MITRE ATT&CK TAXII server
server = Server("https://cti-taxii.mitre.org/taxii2/", user="", password="")
print(f"Title: {server.title}")
print(f"Description: {server.description}")
# List API roots
for api_root in server.api_roots:
print(f"\nAPI Root: {api_root.title}")
print(f" URL: {api_root.url}")
# List collections
for collection in api_root.collections:
print(f" Collection: {collection.title} (ID: {collection.id})")
print(f" Can Read: {collection.can_read}")
print(f" Can Write: {collection.can_write}")from taxii2client.v21 import Collection, as_pages
import json
# Connect to Enterprise ATT&CK collection
ENTERPRISE_ATTACK_ID = "95ecc380-afe9-11e4-9b6c-751b66dd541e"
collection = Collection(
f"https://cti-taxii.mitre.org/stix/collections/{ENTERPRISE_ATTACK_ID}/",
user="",
password="",
)
print(f"Collection: {collection.title}")
# Fetch all objects (paginated)
all_objects = []
for envelope in as_pages(collection.get_objects, per_request=50):
objects = envelope.get("objects", [])
all_objects.extend(objects)
print(f" Fetched {len(objects)} objects (total: {len(all_objects)})")
print(f"\nTotal objects retrieved: {len(all_objects)}")
# Categorize by type
type_counts = {}
for obj in all_objects:
obj_type = obj.get("type", "unknown")
type_counts[obj_type] = type_counts.get(obj_type, 0) + 1
for obj_type, count in sorted(type_counts.items()):
print(f" {obj_type}: {count}")from stix2 import parse, Filter, MemoryStore
# Load objects into a MemoryStore for querying
store = MemoryStore(stix_data=all_objects)
# Query for all indicators
indicators = store.query([Filter("type", "=", "indicator")])
print(f"Indicators: {len(indicators)}")
for ind in indicators[:5]:
print(f" {ind.name}: {ind.pattern}")
# Query for malware
malware_list = store.query([Filter("type", "=", "malware")])
print(f"\nMalware families: {len(malware_list)}")
# Query for threat actors
actors = store.query([Filter("type", "=", "intrusion-set")])
print(f"Threat actors: {len(actors)}")
# Find relationships for a specific object
def get_related(store, source_id):
relationships = store.query([
Filter("type", "=", "relationship"),
Filter("source_ref", "=", source_id),
])
return relationships
# Example: Get all techniques used by APT28
apt28 = store.query([
Filter("type", "=", "intrusion-set"),
Filter("name", "=", "APT28"),
])
if apt28:
rels = get_related(store, apt28[0].id)
for rel in rels:
target = store.get(rel.target_ref)
if target:
print(f" {rel.relationship_type} -> {target.name} ({target.type})")from taxii2client.v21 import Collection, as_pages
from stix2 import parse, Bundle
from datetime import datetime, timedelta
import json
class TAXIIConsumer:
"""Consume STIX/TAXII 2.1 feeds and extract IOCs."""
def __init__(self, collection_url, user="", password=""):
self.collection = Collection(collection_url, user=user, password=password)
self.last_poll = None
def poll_new_objects(self, added_after=None):
"""Poll for objects added after a specific timestamp."""
if added_after is None:
added_after = (
self.last_poll or
(datetime.utcnow() - timedelta(days=1)).strftime(
"%Y-%m-%dT%H:%M:%S.000Z"
)
)
all_objects = []
kwargs = {"added_after": added_after}
for envelope in as_pages(
self.collection.get_objects, per_request=100, **kwargs
):
objects = envelope.get("objects", [])
all_objects.extend(objects)
self.last_poll = datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%S.000Z")
return all_objects
def extract_indicators(self, objects):
"""Extract actionable indicators from STIX objects."""
indicators = []
for obj in objects:
if obj.get("type") == "indicator":
indicators.append({
"id": obj.get("id"),
"name": obj.get("name", ""),
"pattern": obj.get("pattern", ""),
"pattern_type": obj.get("pattern_type", ""),
"valid_from": obj.get("valid_from", ""),
"valid_until": obj.get("valid_until", ""),
"indicator_types": obj.get("indicator_types", []),
"confidence": obj.get("confidence", 0),
"labels": obj.get("labels", []),
})
return indicators
def extract_observables(self, objects):
"""Extract STIX Cyber Observables."""
observables = []
observable_types = {
"ipv4-addr", "ipv6-addr", "domain-name", "url",
"file", "email-addr", "network-traffic",
}
for obj in objects:
if obj.get("type") in observable_types:
observables.append({
"type": obj["type"],
"value": obj.get("value", ""),
"id": obj.get("id"),
})
return observables
# Usage
consumer = TAXIIConsumer(
f"https://cti-taxii.mitre.org/stix/collections/{ENTERPRISE_ATTACK_ID}/"
)
new_objects = consumer.poll_new_objects()
indicators = consumer.extract_indicators(new_objects)
print(f"New indicators: {len(indicators)}")# medallion configuration (medallion.conf)
TAXII_CONFIG = {
"backend": {
"module_class": "MemoryBackend",
},
"users": {
"admin": "admin_password",
"readonly": "readonly_password",
},
"taxii": {
"max_content_length": 10485760,
},
}
# Run medallion server:
# pip install medallion
# python -m medallion --config medallion.conf --port 5000
# Add objects to local TAXII server
import requests
def push_to_taxii(server_url, collection_id, stix_bundle, user, password):
"""Push STIX bundle to a TAXII 2.1 collection."""
url = f"{server_url}/collections/{collection_id}/objects/"
headers = {
"Content-Type": "application/stix+json;version=2.1",
"Accept": "application/taxii+json;version=2.1",
}
response = requests.post(
url,
json=stix_bundle,
headers=headers,
auth=(user, password),
timeout=30,
)
return response.json()© 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/implementing-stix-taxii-feed-integration of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Implementing Stix Taxii Feed Integration 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 |
|---|---|---|---|---|---|---|
| Implementing Stix Taxii Feed Integration this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | |
| Osint Investigationjohnson7788/MultiUserClaw | 327 | — | ~3k | Automated safety check: Pass | MIT | |
| Enrich Iocdandye/ai-runbooks | 127 | — | ~702 | Automated safety check: Pass | Apache-2.0 | |
| Domain IntelTommy-yw/RunbookHermes | 546 | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Threat Intel CampaignSCStelz/security-investigator | 249 | — | ~6.9k | Automated safety check: Pass | MIT | |
| Unified Secops Platformvinayaklatthe/microsoft-security-skills | 175 | — | ~2.1k | Automated safety check: Pass | MIT |
johnson7788/MultiUserClaw
Public-records OSINT investigation framework — SEC EDGAR filings, USAspending contracts, Senate lobbying, OFAC sanctions, ICIJ offshore leaks, NYC property records (ACRIS), OpenCorporates…
dandye/ai-runbooks
Enrich an IOC (IP, domain, hash, URL) with threat intelligence.
Tommy-yw/RunbookHermes
Passive domain reconnaissance using Python stdlib. An agent skill from Tommy-yw/RunbookHermes.
SCStelz/security-investigator
Turn a published threat-intelligence article into a tested threat-hunting campaign.
vinayaklatthe/microsoft-security-skills
Guidance for the Microsoft unified security operations platform that brings Microsoft Sentinel, Microsoft Defender XDR, Security Copilot, Threat Intelligence, and Microsoft Security Exposure…
reconurge/flowsint
Guides building Flowsint enrichers and types: where definitions live, how the base class and vault work, and when a new type is warranted.
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
Implements a STIX 2.1/TAXII 2.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and…. Implementing Stix Taxii Feed Integration is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.1 threat-intelligence feed consumer and producer in Python, covering TAXII server discovery, collection polling, parsing STIX bundles with the stix2 library, and standing up a local TAXII server with Medallion.
Implementing Stix Taxii Feed Integration fits situations like: integrating a STIX/TAXII CTI feed into a SIEM; writing a TAXII client to poll for new indicators; setting up TAXII collections for indicator exchange.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-stix-taxii-feed-integration -a claude-code`. Or copy the skill folder (skills/implementing-stix-taxii-feed-integration in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-stix-taxii-feed-integration in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-stix-taxii-feed-integration -a codex`. Or copy the skill folder (skills/implementing-stix-taxii-feed-integration in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-stix-taxii-feed-integration 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 implementing-stix-taxii-feed-integration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/implementing-stix-taxii-feed-integration, .gemini/skills/implementing-stix-taxii-feed-integration, .github/skills/implementing-stix-taxii-feed-integration and .opencode/skills/implementing-stix-taxii-feed-integration in your project.
Going by SKILL.md and its folder, Implementing Stix Taxii Feed Integration needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md names 5 domains. In commands or code: cti-taxii.mitre.org; the agent is likely to contact it when it follows the instructions. As links in the text: docs.oasis-open.org, pypi.org, stix2.readthedocs.io and github.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.
Implementing Stix Taxii Feed Integration 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 2.7k tokens (SKILL.md is roughly 11k 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 2.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Implementing Stix Taxii Feed Integration: Osint Investigation (johnson7788/MultiUserClaw, 327 stars), Enrich Ioc (dandye/ai-runbooks, 127 stars), Domain Intel (Tommy-yw/RunbookHermes, 546 stars) and Threat Intel Campaign (SCStelz/security-investigator, 249 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.