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
Create, validate, and share STIX 2.1 threat intelligence objects (indicators, malware, campaigns, relationships, bundles) using the stix2 Python library, and publish them over TAXII 2.1.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-security-information-sharing-with-stix2 -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-security-information-sharing-with-stix2 --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-security-information-sharing-with-stix2 .claude/skills/implementing-security-information-sharing-with-stix2 && 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-security-information-sharing-with-stix2" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-security-information-sharing-with-stix2 into .claude/skills/implementing-security-information-sharing-with-stix2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-security-information-sharing-with-stix2", 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-security-information-sharing-with-stix2Type 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-security-information-sharing-with-stix2 -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-security-information-sharing-with-stix2 --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-security-information-sharing-with-stix2 .agents/skills/implementing-security-information-sharing-with-stix2 && 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-security-information-sharing-with-stix2" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-security-information-sharing-with-stix2 into .agents/skills/implementing-security-information-sharing-with-stix2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-security-information-sharing-with-stix2", 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-security-information-sharing-with-stix2 -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-security-information-sharing-with-stix2 --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-security-information-sharing-with-stix2 .cursor/skills/implementing-security-information-sharing-with-stix2 && 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-security-information-sharing-with-stix2" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-security-information-sharing-with-stix2 into .cursor/skills/implementing-security-information-sharing-with-stix2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-security-information-sharing-with-stix2", 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-security-information-sharing-with-stix2--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-security-information-sharing-with-stix2 -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills implementing-security-information-sharing-with-stix2 --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-security-information-sharing-with-stix2 .gemini/skills/implementing-security-information-sharing-with-stix2 && 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-security-information-sharing-with-stix2" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-security-information-sharing-with-stix2 into .gemini/skills/implementing-security-information-sharing-with-stix2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-security-information-sharing-with-stix2", 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-security-information-sharing-with-stix2Installs 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-security-information-sharing-with-stix2 -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-security-information-sharing-with-stix2 .github/skills/implementing-security-information-sharing-with-stix2 && 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-security-information-sharing-with-stix2" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-security-information-sharing-with-stix2 into .github/skills/implementing-security-information-sharing-with-stix2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-security-information-sharing-with-stix2", 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-security-information-sharing-with-stix2 -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-security-information-sharing-with-stix2 --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-security-information-sharing-with-stix2 .opencode/skills/implementing-security-information-sharing-with-stix2 && 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-security-information-sharing-with-stix2" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/implementing-security-information-sharing-with-stix2 into .opencode/skills/implementing-security-information-sharing-with-stix2/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "implementing-security-information-sharing-with-stix2", 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-security-information-sharing-with-stix2Create, validate, and share STIX 2.1 threat intelligence objects (indicators, malware, campaigns, relationships, bundles) using the stix2 Python library, and publish them over TAXII 2.1.
Implementing Security Information Sharing With Stix2 is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Create, validate, and share STIX 2.1 threat intelligence objects (indicators, malware, campaigns, relationships, bundles) using the stix2 Python library, and publish them over TAXII 2.1. Use when building or exchanging structured threat intelligence, modeling relationships between threat objects, or publishing/consuming a TAXII 2.1 feed.
Its SKILL.md is about 3.3k 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. 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.
8 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:
attack.mitre.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.
Implementing Security Information Sharing With Stix2 loads about 3.3k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 415 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). 415 words, ~3,277 tokens.
.claude/skills/implementing-security-information-sharing-with-stix2/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Build and share structured threat intelligence using STIX 2.1 objects with the stix2 Python library and TAXII 2.1 transport protocol.
Do not use for sharing simple IP blocklists or CSV-based IOC feeds that do not require relationship context; plain-text feeds with simpler formats like CSV or OpenIOC may be more efficient in those cases.
stix2 library (pip install stix2)taxii2-client for consuming TAXII feeds (pip install taxii2-client)pip install stix2 taxii2-client requestsCreate core intelligence objects that describe threats, actors, and campaigns:
from stix2 import (
Indicator, Malware, ThreatActor, Campaign,
AttackPattern, Identity, Relationship, Bundle,
ExternalReference
)
from datetime import datetime
# Create a producer identity
producer = Identity(
name="ACME Threat Intel Team",
identity_class="organization",
sectors=["technology"],
contact_information="threatintel@acme.example.com"
)
# Create a malware object
emotet_malware = Malware(
name="Emotet",
description="Banking trojan turned modular botnet loader. "
"Distributed via malspam with macro-enabled Office documents.",
malware_types=["trojan", "bot"],
is_family=True,
created_by_ref=producer.id
)
# Create an attack pattern referencing MITRE ATT&CK
spearphishing_pattern = AttackPattern(
name="Spearphishing Attachment",
description="Adversaries send spearphishing emails with a malicious attachment.",
external_references=[
ExternalReference(
source_name="mitre-attack",
external_id="T1566.001",
url="https://attack.mitre.org/techniques/T1566/001/"
)
],
created_by_ref=producer.id
)
# Create a threat actor
threat_actor = ThreatActor(
name="Mummy Spider",
description="Cybercriminal group operating the Emotet botnet infrastructure.",
threat_actor_types=["crime-syndicate"],
aliases=["TA542", "Gold Crestwood"],
primary_motivation="personal-gain",
created_by_ref=producer.id
)
# Create a campaign
campaign = Campaign(
name="Emotet Q1 2026 Resurgence",
description="Renewed Emotet distribution campaign using thread-hijacked "
"reply-chain emails with OneNote lure attachments.",
first_seen="2026-01-15T00:00:00Z",
created_by_ref=producer.id
)
print(f"Created malware SDO: {emotet_malware.id}")
print(f"Created threat actor SDO: {threat_actor.id}")
print(f"Created campaign SDO: {campaign.id}")Define detection patterns using the STIX Patterning Language:
# File hash indicator
hash_indicator = Indicator(
name="Emotet dropper hash",
description="SHA-256 hash of Emotet first-stage dropper observed in Jan 2026 campaign.",
indicator_types=["malicious-activity"],
pattern_type="stix",
pattern="[file:hashes.'SHA-256' = 'a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2c3d4e5f6a1b2']",
valid_from="2026-01-15T00:00:00Z",
created_by_ref=producer.id
)
# Network indicator for C2 domain
c2_indicator = Indicator(
name="Emotet C2 domain",
description="Command and control domain observed in Emotet tier-1 botnet infrastructure.",
indicator_types=["malicious-activity"],
pattern_type="stix",
pattern="[domain-name:value = 'malicious-c2.example.com']",
valid_from="2026-01-20T00:00:00Z",
created_by_ref=producer.id
)
# Compound pattern: process spawning with suspicious command line
process_indicator = Indicator(
name="Emotet PowerShell download cradle",
description="PowerShell execution pattern used by Emotet to download next-stage payload.",
indicator_types=["malicious-activity"],
pattern_type="stix",
pattern=(
"[process:command_line MATCHES 'powershell.*-enc.*' "
"AND process:parent_ref.name = 'winword.exe']"
),
valid_from="2026-01-15T00:00:00Z",
created_by_ref=producer.id
)
# Email subject indicator
email_indicator = Indicator(
name="Emotet phishing subject line pattern",
description="Subject line pattern seen in thread-hijacked Emotet phishing emails.",
indicator_types=["malicious-activity"],
pattern_type="stix",
pattern="[email-message:subject MATCHES '^RE:.*Invoice.*[0-9]{6}']",
valid_from="2026-01-15T00:00:00Z",
created_by_ref=producer.id
)
print(f"Created {4} indicator objects")Link SDOs together using Relationship objects to express how threats are connected:
# Malware uses attack pattern
rel_malware_attack = Relationship(
relationship_type="uses",
source_ref=emotet_malware.id,
target_ref=spearphishing_pattern.id,
description="Emotet is distributed via spearphishing attachments.",
created_by_ref=producer.id
)
# Threat actor uses malware
rel_actor_malware = Relationship(
relationship_type="uses",
source_ref=threat_actor.id,
target_ref=emotet_malware.id,
description="Mummy Spider operates the Emotet malware infrastructure.",
created_by_ref=producer.id
)
# Indicator indicates malware
rel_indicator_malware = Relationship(
relationship_type="indicates",
source_ref=hash_indicator.id,
target_ref=emotet_malware.id,
description="File hash indicator for Emotet dropper binary.",
created_by_ref=producer.id
)
# Campaign uses malware
rel_campaign_malware = Relationship(
relationship_type="uses",
source_ref=campaign.id,
target_ref=emotet_malware.id,
created_by_ref=producer.id
)
# Threat actor attributed to campaign
rel_actor_campaign = Relationship(
relationship_type="attributed-to",
source_ref=campaign.id,
target_ref=threat_actor.id,
created_by_ref=producer.id
)
print(f"Created {5} relationship objects linking threat intelligence")Package all objects into a bundle for sharing:
import json
bundle = Bundle(
objects=[
producer,
emotet_malware,
spearphishing_pattern,
threat_actor,
campaign,
hash_indicator,
c2_indicator,
process_indicator,
email_indicator,
rel_malware_attack,
rel_actor_malware,
rel_indicator_malware,
rel_campaign_malware,
rel_actor_campaign,
]
)
# Serialize to JSON
bundle_json = bundle.serialize(pretty=True)
# Write bundle to file for sharing
with open("emotet_campaign_bundle.json", "w") as f:
f.write(bundle_json)
print(f"Bundle {bundle.id} contains {len(bundle.objects)} objects")
print(f"Written to emotet_campaign_bundle.json")
# Validate the bundle by re-parsing
from stix2 import parse
parsed = parse(bundle_json, allow_custom=False)
print(f"Bundle validation passed: {len(parsed.objects)} objects parsed successfully")Retrieve published threat intelligence from a TAXII feed:
from taxii2client.v21 import Server, Collection, as_pages
import json
# Connect to a TAXII 2.1 server
taxii_server = Server(
"https://taxii.example.com/taxii2/",
user="readonly",
password="readonly_password"
)
# Discover API roots and collections
api_root = taxii_server.api_roots[0]
print(f"API Root: {api_root.title}")
for collection in api_root.collections:
print(f" Collection: {collection.title} (ID: {collection.id})")
# Fetch indicators from a specific collection
target_collection = Collection(
f"https://taxii.example.com/taxii2/collections/{api_root.collections[0].id}/",
user="readonly",
password="readonly_password"
)
# Retrieve objects with filtering
response = target_collection.get_objects(
added_after="2026-01-01T00:00:00Z",
type=["indicator", "malware"]
)
stix_data = json.loads(response.text)
print(f"Retrieved {len(stix_data.get('objects', []))} objects from TAXII server")
# Process each retrieved object
for obj in stix_data.get("objects", []):
if obj["type"] == "indicator":
print(f" Indicator: {obj['name']} | Pattern: {obj['pattern'][:60]}...")
elif obj["type"] == "malware":
print(f" Malware: {obj['name']} | Family: {obj.get('is_family', False)}")Push your STIX bundle to a writable TAXII collection:
import requests
import json
TAXII_URL = "https://taxii.example.com/taxii2/collections/COLLECTION_ID/objects/"
TAXII_USER = "publisher"
TAXII_PASS = "publisher_password"
headers = {
"Content-Type": "application/taxii+json;version=2.1",
"Accept": "application/taxii+json;version=2.1"
}
# Read the bundle we created earlier
with open("emotet_campaign_bundle.json", "r") as f:
bundle_data = f.read()
response = requests.post(
TAXII_URL,
headers=headers,
auth=(TAXII_USER, TAXII_PASS),
data=bundle_data,
timeout=30
)
if response.status_code in (200, 201, 202):
status = response.json()
print(f"Published successfully. Status ID: {status.get('id')}")
print(f" Total count: {status.get('total_count')}")
print(f" Success count: {status.get('success_count')}")
print(f" Failure count: {status.get('failure_count')}")
else:
print(f"Publishing failed: {response.status_code} - {response.text}")Ensure objects comply with the STIX 2.1 specification:
from stix2 import parse, exceptions
import json
def validate_stix_bundle(bundle_path):
"""Validate all objects in a STIX bundle against the 2.1 spec."""
with open(bundle_path, "r") as f:
raw = json.load(f)
errors = []
valid_count = 0
for obj in raw.get("objects", []):
try:
parsed = parse(json.dumps(obj), allow_custom=False)
valid_count += 1
except (exceptions.InvalidValueError, exceptions.MissingPropertiesError) as e:
errors.append({
"object_id": obj.get("id", "unknown"),
"object_type": obj.get("type", "unknown"),
"error": str(e)
})
print(f"Validation results: {valid_count} valid, {len(errors)} errors")
for err in errors:
print(f" ERROR in {err['object_type']} ({err['object_id']}): {err['error']}")
return len(errors) == 0
validate_stix_bundle("emotet_campaign_bundle.json")type, id, created, modified)source_ref and target_ref point to existing object IDs within the bundlesuccess_count matching the number of objects sentstix2-validator CLI tool against exported bundles: stix2_validator emotet_campaign_bundle.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 3 other files (scripts, references) in skills/implementing-security-information-sharing-with-stix2 of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Implementing Security Information Sharing With Stix2 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 Security Information Sharing With Stix2 this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Osint Investigationjohnson7788/MultiUserClaw | 327 | — | ~3k | Automated safety check: Pass | MIT | |
| Domain IntelTommy-yw/RunbookHermes | 546 | 1 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Flowsint Enricher Builderreconurge/flowsint | 9.6k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Security Auditoreigent-ai/eigent | 15k | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| CodeQL Security Scantrailofbits/skills | 7.4k | — | ~4.6k | Automated safety check: Notes | CC-BY-SA-4.0 |
johnson7788/MultiUserClaw
Public-records OSINT investigation framework — SEC EDGAR filings, USAspending contracts, Senate lobbying, OFAC sanctions, ICIJ offshore leaks, NYC property records (ACRIS), OpenCorporates…
Tommy-yw/RunbookHermes
Passive domain reconnaissance using Python stdlib. An agent skill from Tommy-yw/RunbookHermes.
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.
eigent-ai/eigent
Audits source code, dependencies and config files for vulnerabilities and hardcoded secrets, using two bundled Python scanners and an OWASP Top 10 checklist.
trailofbits/skills
Scans a codebase for vulnerabilities with CodeQL's data flow and taint tracking in run-all or important-only modes, including data extensions for project-specific sources and sinks.
kedro-org/kedro
Run a Kedro security scan on the full codebase or just a pull request.
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
Create, validate, and share STIX 2.1 threat intelligence objects (indicators, malware, campaigns, relationships, bundles) using the stix2 Python library, and publish them over TAXII 2.1. Implementing Security Information Sharing With Stix2 is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.1.
Implementing Security Information Sharing With Stix2 fits situations like: exchanging structured threat intelligence; modeling relationships between threat objects; publishing/consuming a TAXII 2.1 feed.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-security-information-sharing-with-stix2 -a claude-code`. Or copy the skill folder (skills/implementing-security-information-sharing-with-stix2 in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/implementing-security-information-sharing-with-stix2 in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill implementing-security-information-sharing-with-stix2 -a codex`. Or copy the skill folder (skills/implementing-security-information-sharing-with-stix2 in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/implementing-security-information-sharing-with-stix2 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-security-information-sharing-with-stix2 -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-security-information-sharing-with-stix2, .gemini/skills/implementing-security-information-sharing-with-stix2, .github/skills/implementing-security-information-sharing-with-stix2 and .opencode/skills/implementing-security-information-sharing-with-stix2 in your project.
Going by SKILL.md and its folder, Implementing Security Information Sharing With Stix2 needs Python for the scripts in its folder and the command-line tools its instructions call (pip). Our summary lists: Python 3.
SKILL.md names 1 domain. In commands or code: attack.mitre.org; the agent is likely to contact it 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.
Implementing Security Information Sharing With Stix2 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 3.3k tokens (SKILL.md is roughly 13k 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 518 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Implementing Security Information Sharing With Stix2: Osint Investigation (johnson7788/MultiUserClaw, 327 stars), Domain Intel (Tommy-yw/RunbookHermes, 546 stars), Flowsint Enricher Builder (reconurge/flowsint, 9.6k stars) and Security Auditor (eigent-ai/eigent, 15k 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 33,993 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.