Iron Proxy Gateway for NanoClaw
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
Agent skill
Dark web monitoring involves systematically scanning Tor hidden services, underground forums, paste sites, and dark web marketplaces to identify threats targeting an organization, including leaked cre
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-dark-web-monitoring-for-threats -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-dark-web-monitoring-for-threats --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/performing-dark-web-monitoring-for-threats .claude/skills/performing-dark-web-monitoring-for-threats && 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 "performing-dark-web-monitoring-for-threats" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-dark-web-monitoring-for-threats into .claude/skills/performing-dark-web-monitoring-for-threats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-dark-web-monitoring-for-threats", 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/performing-dark-web-monitoring-for-threatsType 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 performing-dark-web-monitoring-for-threats -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-dark-web-monitoring-for-threats --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/performing-dark-web-monitoring-for-threats .agents/skills/performing-dark-web-monitoring-for-threats && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "performing-dark-web-monitoring-for-threats" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-dark-web-monitoring-for-threats into .agents/skills/performing-dark-web-monitoring-for-threats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-dark-web-monitoring-for-threats", 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 performing-dark-web-monitoring-for-threats -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-dark-web-monitoring-for-threats --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/performing-dark-web-monitoring-for-threats .cursor/skills/performing-dark-web-monitoring-for-threats && 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 "performing-dark-web-monitoring-for-threats" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-dark-web-monitoring-for-threats into .cursor/skills/performing-dark-web-monitoring-for-threats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-dark-web-monitoring-for-threats", 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/performing-dark-web-monitoring-for-threats--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 performing-dark-web-monitoring-for-threats -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-dark-web-monitoring-for-threats --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/performing-dark-web-monitoring-for-threats .gemini/skills/performing-dark-web-monitoring-for-threats && 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 "performing-dark-web-monitoring-for-threats" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-dark-web-monitoring-for-threats into .gemini/skills/performing-dark-web-monitoring-for-threats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-dark-web-monitoring-for-threats", 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 performing-dark-web-monitoring-for-threatsInstalls 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 performing-dark-web-monitoring-for-threats -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/performing-dark-web-monitoring-for-threats .github/skills/performing-dark-web-monitoring-for-threats && 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 "performing-dark-web-monitoring-for-threats" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-dark-web-monitoring-for-threats into .github/skills/performing-dark-web-monitoring-for-threats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-dark-web-monitoring-for-threats", 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 performing-dark-web-monitoring-for-threats -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 performing-dark-web-monitoring-for-threats --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/performing-dark-web-monitoring-for-threats .opencode/skills/performing-dark-web-monitoring-for-threats && 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 "performing-dark-web-monitoring-for-threats" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-dark-web-monitoring-for-threats into .opencode/skills/performing-dark-web-monitoring-for-threats/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-dark-web-monitoring-for-threats", 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.
performing-dark-web-monitoring-for-threatsDark web monitoring involves systematically scanning Tor hidden services, underground forums, paste sites, and dark web marketplaces to identify threats targeting an organization, including leaked cre
Performing Dark Web Monitoring For Threats is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Dark web monitoring involves systematically scanning Tor hidden services, underground forums, paste sites, and dark web marketplaces to identify threats targeting an organization, including leaked cre
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 DevOps & Cloud. 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.
4 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:
haveibeenpwned.comcheck.torproject.orgraw.githubusercontent.comAlso links to:
torproject.orggithub.comdarkowl.comintel471.comflare.ioFrom 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.
Performing Dark Web Monitoring For Threats loads about 2.5k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 425 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). 425 words, ~2,467 tokens.
.claude/skills/performing-dark-web-monitoring-for-threats/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Dark web monitoring involves systematically scanning Tor hidden services, underground forums, paste sites, and dark web marketplaces to identify threats targeting an organization, including leaked credentials, data breaches, threat actor discussions, vulnerability exploitation tools, and planned attacks. This skill covers setting up monitoring infrastructure, using Tor-based collection tools, implementing automated alerting for brand mentions and credential leaks, and analyzing dark web intelligence for actionable threat indicators.
requests, stem, beautifulsoup4, stix2 librariesimport requests
from requests.adapters import HTTPAdapter
def create_tor_session():
"""Create a requests session routed through Tor SOCKS5 proxy."""
session = requests.Session()
session.proxies = {
"http": "socks5h://127.0.0.1:9050",
"https": "socks5h://127.0.0.1:9050",
}
session.headers.update({
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; rv:109.0) Gecko/20100101 Firefox/115.0",
})
return session
def verify_tor_connection(session):
"""Verify that traffic is routed through Tor."""
try:
resp = session.get("https://check.torproject.org/api/ip", timeout=30)
data = resp.json()
return {
"is_tor": data.get("IsTor", False),
"ip": data.get("IP", ""),
}
except Exception as e:
return {"error": str(e)}import re
from datetime import datetime
def monitor_paste_sites(session, organization_domains):
"""Monitor paste sites for leaked credentials matching organization domains."""
findings = []
# Check Have I Been Pwned API (clearnet)
for domain in organization_domains:
try:
resp = requests.get(
f"https://haveibeenpwned.com/api/v3/breaches",
headers={"hibp-api-key": "YOUR_HIBP_KEY"},
timeout=30,
)
if resp.status_code == 200:
breaches = resp.json()
for breach in breaches:
if domain.lower() in breach.get("Domain", "").lower():
findings.append({
"source": "HIBP",
"breach_name": breach["Name"],
"breach_date": breach.get("BreachDate"),
"data_classes": breach.get("DataClasses", []),
"pwn_count": breach.get("PwnCount", 0),
"domain": domain,
})
except Exception as e:
print(f"[-] HIBP error for {domain}: {e}")
return findings
def search_for_keywords(session, keywords, onion_paste_urls):
"""Search dark web paste sites for specific keywords."""
results = []
for paste_url in onion_paste_urls:
try:
resp = session.get(paste_url, timeout=60)
if resp.status_code == 200:
content = resp.text.lower()
for keyword in keywords:
if keyword.lower() in content:
results.append({
"url": paste_url,
"keyword": keyword,
"timestamp": datetime.utcnow().isoformat(),
"snippet": extract_context(content, keyword.lower()),
})
except Exception as e:
print(f"[-] Error fetching {paste_url}: {e}")
return results
def extract_context(text, keyword, context_chars=200):
"""Extract text context around a keyword match."""
idx = text.find(keyword)
if idx == -1:
return ""
start = max(0, idx - context_chars)
end = min(len(text), idx + len(keyword) + context_chars)
return text[start:end]def check_ransomware_leak_sites(session, organization_name):
"""Check known ransomware group leak sites for organization mentions."""
# Use Ransomwatch API (clearnet aggregator of ransomware leak sites)
try:
resp = requests.get(
"https://raw.githubusercontent.com/joshhighet/ransomwatch/main/posts.json",
timeout=30,
)
if resp.status_code == 200:
posts = resp.json()
matches = []
for post in posts:
post_title = post.get("post_title", "").lower()
if organization_name.lower() in post_title:
matches.append({
"group": post.get("group_name", ""),
"title": post.get("post_title", ""),
"discovered": post.get("discovered", ""),
"url": post.get("post_url", ""),
})
return matches
except Exception as e:
print(f"[-] Ransomwatch error: {e}")
return []def generate_dark_web_report(findings, organization):
"""Generate structured dark web intelligence report."""
report = {
"organization": organization,
"report_date": datetime.utcnow().isoformat(),
"executive_summary": "",
"credential_leaks": [],
"ransomware_mentions": [],
"dark_web_mentions": [],
"recommendations": [],
}
for finding in findings:
if finding.get("source") == "HIBP":
report["credential_leaks"].append(finding)
elif finding.get("group"):
report["ransomware_mentions"].append(finding)
else:
report["dark_web_mentions"].append(finding)
# Generate executive summary
cred_count = len(report["credential_leaks"])
ransom_count = len(report["ransomware_mentions"])
report["executive_summary"] = (
f"Monitoring identified {cred_count} credential leak sources "
f"and {ransom_count} ransomware group mentions for {organization}."
)
if ransom_count > 0:
report["recommendations"].append(
"CRITICAL: Organization mentioned on ransomware leak site. "
"Initiate incident response immediately."
)
if cred_count > 0:
report["recommendations"].append(
"HIGH: Leaked credentials detected. Force password resets for "
"affected accounts and enable MFA."
)
return report© 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/performing-dark-web-monitoring-for-threats of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Performing Dark Web Monitoring For Threats 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 |
|---|---|---|---|---|---|---|
| Performing Dark Web Monitoring For Threats this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Iron Proxy Gateway for NanoClawnanocoai/nanoclaw | 31k | — | ~4.6k | Automated safety check: Notes | MIT | |
| GitHub Actions Supply Chain Pinningasyncapi/generator | 1.1k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| AWS Cloud Advisortech-leads-club/agent-skills | 7k | — | ~2.1k | Automated safety check: Pass | CC-BY-4.0 | |
| KubeShark for KubernetesLukasNiessen/kubernetes-skill | 446 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Migrate Dotnet9 To Dotnet10dotnet/skills | 5.6k | 2 repos | ~4.8k | Automated safety check: Pass | MIT |
nanocoai/nanoclaw
Installs or refreshes Iron Proxy and its Iron Control web console for NanoClaw, with a local Docker setup, database, credentials and a human approval bridge.
asyncapi/generator
A skill your agent uses when editing, adding, or reviewing any file under .github/workflows/, or when a CI step installs a CLI tool (npm i -g, npx, pipx, uses: /setup-).
tech-leads-club/agent-skills
Answers AWS architecture, security and service-selection questions by searching AWS documentation through MCP tools first, then adapting advice to your stack and team.
LukasNiessen/kubernetes-skill
Keeps Kubernetes manifests, Helm charts and policies grounded by diagnosing six failure modes, such as insecure defaults and API drift, and loading only matching references.
dotnet/skills
Migrate a .NET 9 project or solution to .NET 10 and resolve all breaking changes.
hedioum/Hedioum-Pool-Tunnel
Audit and harden the Hedioum Pool Tunnel against nation-state DPI and censorship, as a filtering/anti-censorship expert would.
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
Dark web monitoring involves systematically scanning Tor hidden services, underground forums, paste sites, and dark web marketplaces to identify threats targeting an organization, including leaked cre. Performing Dark Web Monitoring For Threats is an agent skill from mukul975/Anthropic-Cybersecurity-Skills.
Performing Dark Web Monitoring For Threats fits situations like: devOps & Cloud work in your project.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-dark-web-monitoring-for-threats -a claude-code`. Or copy the skill folder (skills/performing-dark-web-monitoring-for-threats in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-dark-web-monitoring-for-threats in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-dark-web-monitoring-for-threats -a codex`. Or copy the skill folder (skills/performing-dark-web-monitoring-for-threats in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-dark-web-monitoring-for-threats 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 performing-dark-web-monitoring-for-threats -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/performing-dark-web-monitoring-for-threats, .gemini/skills/performing-dark-web-monitoring-for-threats, .github/skills/performing-dark-web-monitoring-for-threats and .opencode/skills/performing-dark-web-monitoring-for-threats in your project.
Going by SKILL.md and its folder, Performing Dark Web Monitoring For Threats needs Python for the scripts in its folder. Our summary lists: Python 3; A credential in YOUR_HIBP_KEY.
SKILL.md names 8 domains. In commands or code: haveibeenpwned.com, check.torproject.org and raw.githubusercontent.com; the agent is likely to contact these when it follows the instructions. As links in the text: torproject.org, github.com, darkowl.com, intel471.com and flare.io. 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.
Performing Dark Web Monitoring For Threats 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 2.3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Performing Dark Web Monitoring For Threats: Iron Proxy Gateway for NanoClaw (nanocoai/nanoclaw, 31k stars), GitHub Actions Supply Chain Pinning (asyncapi/generator, 1.1k stars), AWS Cloud Advisor (tech-leads-club/agent-skills, 7k stars) and KubeShark for Kubernetes (LukasNiessen/kubernetes-skill, 446 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.