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…
Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and…
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill automating-ioc-enrichment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills automating-ioc-enrichment --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/automating-ioc-enrichment .claude/skills/automating-ioc-enrichment && 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 "automating-ioc-enrichment" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/automating-ioc-enrichment into .claude/skills/automating-ioc-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automating-ioc-enrichment", 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/automating-ioc-enrichmentType 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 automating-ioc-enrichment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills automating-ioc-enrichment --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/automating-ioc-enrichment .agents/skills/automating-ioc-enrichment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "automating-ioc-enrichment" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/automating-ioc-enrichment into .agents/skills/automating-ioc-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automating-ioc-enrichment", 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 automating-ioc-enrichment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills automating-ioc-enrichment --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/automating-ioc-enrichment .cursor/skills/automating-ioc-enrichment && 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 "automating-ioc-enrichment" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/automating-ioc-enrichment into .cursor/skills/automating-ioc-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automating-ioc-enrichment", 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/automating-ioc-enrichment--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 automating-ioc-enrichment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills automating-ioc-enrichment --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/automating-ioc-enrichment .gemini/skills/automating-ioc-enrichment && 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 "automating-ioc-enrichment" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/automating-ioc-enrichment into .gemini/skills/automating-ioc-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automating-ioc-enrichment", 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 automating-ioc-enrichmentInstalls 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 automating-ioc-enrichment -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/automating-ioc-enrichment .github/skills/automating-ioc-enrichment && 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 "automating-ioc-enrichment" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/automating-ioc-enrichment into .github/skills/automating-ioc-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automating-ioc-enrichment", 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 automating-ioc-enrichment -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 automating-ioc-enrichment --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/automating-ioc-enrichment .opencode/skills/automating-ioc-enrichment && 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 "automating-ioc-enrichment" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/automating-ioc-enrichment into .opencode/skills/automating-ioc-enrichment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "automating-ioc-enrichment", 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.
automating-ioc-enrichmentAutomates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and…
Automating Ioc Enrichment is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and standardize enrichment outputs. Use when building automated enrichment workflows integrated with SIEM alerts, email submission pipelines, or bulk IOC processing from threat feeds. Activates for requests involving SOAR enrichment, Cortex XSOAR, Splunk SOAR, TheHive, Python enrichment pipelines, or automated IOC processing.
Its SKILL.md is about 2.2k 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 and Security operations. It works with Python and Splunk. 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:
virustotal.comapi.abuseipdb.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.
Automating Ioc Enrichment loads about 2.2k tokens when it runs, and up to ~2.6k if it reads all its reference files. Until then it costs about 136 tokens; SKILL.md has 533 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). 533 words, ~2,158 tokens.
.claude/skills/automating-ioc-enrichment/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Use this skill when:
Do not use this skill for fully automated blocking decisions without human review — enrichment automation should inform decisions, not execute blocks autonomously for high-impact actions.
Define the enrichment flow for each IOC type:
SIEM Alert → Extract IOCs → Classify Type → Route to enrichment functions
IP Address → AbuseIPDB + Shodan + VirusTotal IP + MISP
Domain → VirusTotal Domain + PassiveTotal + Shodan + MISP
URL → URLScan.io + VirusTotal URL + Google Safe Browse
File Hash → VirusTotal Files + MalwareBazaar + MISP
→ Aggregate results → Calculate confidence score → Update alert → Notify analystimport requests
import time
from dataclasses import dataclass, field
from typing import Optional
RATE_LIMIT_DELAY = 0.25 # 4 requests/second for VT free tier
@dataclass
class EnrichmentResult:
ioc_value: str
ioc_type: str
vt_malicious: int = 0
vt_total: int = 0
abuse_confidence: int = 0
shodan_ports: list = field(default_factory=list)
misp_events: list = field(default_factory=list)
confidence_score: int = 0
def enrich_ip(ip: str, vt_key: str, abuse_key: str, shodan_key: str) -> EnrichmentResult:
result = EnrichmentResult(ip, "ip")
# VirusTotal IP lookup
vt_resp = requests.get(
f"https://www.virustotal.com/api/v3/ip_addresses/{ip}",
headers={"x-apikey": vt_key}
)
if vt_resp.status_code == 200:
stats = vt_resp.json()["data"]["attributes"]["last_analysis_stats"]
result.vt_malicious = stats.get("malicious", 0)
result.vt_total = sum(stats.values())
time.sleep(RATE_LIMIT_DELAY)
# AbuseIPDB
abuse_resp = requests.get(
"https://api.abuseipdb.com/api/v2/check",
headers={"Key": abuse_key, "Accept": "application/json"},
params={"ipAddress": ip, "maxAgeInDays": 90}
)
if abuse_resp.status_code == 200:
result.abuse_confidence = abuse_resp.json()["data"]["abuseConfidenceScore"]
# Calculate composite confidence score
result.confidence_score = min(
(result.vt_malicious / max(result.vt_total, 1)) * 60 +
(result.abuse_confidence / 100) * 40, 100
)
return result
def enrich_hash(sha256: str, vt_key: str) -> EnrichmentResult:
result = EnrichmentResult(sha256, "sha256")
vt_resp = requests.get(
f"https://www.virustotal.com/api/v3/files/{sha256}",
headers={"x-apikey": vt_key}
)
if vt_resp.status_code == 200:
stats = vt_resp.json()["data"]["attributes"]["last_analysis_stats"]
result.vt_malicious = stats.get("malicious", 0)
result.vt_total = sum(stats.values())
result.confidence_score = int((result.vt_malicious / max(result.vt_total, 1)) * 100)
return resultIn Cortex XSOAR, create an enrichment playbook:
!vt-file-scan or !vt-ip-scan commands!abuseipdb-check-ip command!misp-search for cross-referencingimport time
from functools import wraps
def rate_limited(max_per_second):
min_interval = 1.0 / max_per_second
def decorator(func):
last_called = [0.0]
@wraps(func)
def wrapper(*args, **kwargs):
elapsed = time.time() - last_called[0]
wait = min_interval - elapsed
if wait > 0:
time.sleep(wait)
result = func(*args, **kwargs)
last_called[0] = time.time()
return result
return wrapper
return decorator
def retry_on_429(max_retries=3):
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
for attempt in range(max_retries):
response = func(*args, **kwargs)
if response.status_code == 429:
retry_after = int(response.headers.get("Retry-After", 60))
time.sleep(retry_after)
else:
return response
return wrapper
return decoratorTrack pipeline performance weekly:
| Term | Definition |
|---|---|
| SOAR | Security Orchestration, Automation, and Response — platform for automating security workflows and integrating disparate tools |
| Enrichment Playbook | Automated workflow sequence that adds contextual intelligence to raw security events |
| Rate Limiting | API provider restrictions on request frequency (e.g., VT free: 4 requests/minute); pipelines must respect these limits |
| Composite Confidence Score | Single score aggregating signals from multiple enrichment sources using weighted formula |
| Fan-out Pattern | Parallel execution of multiple enrichment queries simultaneously to minimize total enrichment latency |
© 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/automating-ioc-enrichment of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Automating Ioc Enrichment 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 |
|---|---|---|---|---|---|---|
| Automating Ioc Enrichment this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.2k | 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 | |
| Siem Loggingancoleman/ai-design-components | 525 | — | ~3.4k | Automated safety check: Pass | MIT | |
| Threat Intel CampaignSCStelz/security-investigator | 249 | — | ~6.9k | 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.
ancoleman/ai-design-components
Configure security information and event management (SIEM) systems for threat detection, log aggregation, and compliance.
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…
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
Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and…. Automating Ioc Enrichment is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Automates the enrichment of raw indicators of compromise with multi-source threat intelligence context using SOAR platforms, Python pipelines, or TIP playbooks to reduce analyst triage time and standardize enrichment outputs.
Automating Ioc Enrichment fits situations like: building automated enrichment workflows integrated with SIEM alerts; email submission pipelines; bulk IOC processing from threat feeds.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill automating-ioc-enrichment -a claude-code`. Or copy the skill folder (skills/automating-ioc-enrichment in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/automating-ioc-enrichment in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill automating-ioc-enrichment -a codex`. Or copy the skill folder (skills/automating-ioc-enrichment in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/automating-ioc-enrichment 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 automating-ioc-enrichment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/automating-ioc-enrichment, .gemini/skills/automating-ioc-enrichment, .github/skills/automating-ioc-enrichment and .opencode/skills/automating-ioc-enrichment in your project.
Going by SKILL.md and its folder, Automating Ioc Enrichment needs Python for the scripts in its folder. Our summary lists: Python 3.
SKILL.md names 2 domains. In commands or code: virustotal.com and api.abuseipdb.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.
Automating Ioc Enrichment 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 2.2k tokens (SKILL.md is roughly 8.6k 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 462 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Automating Ioc Enrichment: Osint Investigation (johnson7788/MultiUserClaw, 327 stars), Enrich Ioc (dandye/ai-runbooks, 127 stars), Domain Intel (Tommy-yw/RunbookHermes, 546 stars) and Siem Logging (ancoleman/ai-design-components, 525 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.