Write Cve Rule
evdenis/cvehound
Write, debug, or validate a CVEhound detection rule (.cocci or .grep) for a Linux kernel CVE.
Agent skill
Configure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and API-based discovery to assess systems without installing endpoint agents.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-agentless-vulnerability-scanning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-agentless-vulnerability-scanning --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-agentless-vulnerability-scanning .claude/skills/performing-agentless-vulnerability-scanning && 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-agentless-vulnerability-scanning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-agentless-vulnerability-scanning into .claude/skills/performing-agentless-vulnerability-scanning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-agentless-vulnerability-scanning", 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-agentless-vulnerability-scanningType 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-agentless-vulnerability-scanning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-agentless-vulnerability-scanning --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-agentless-vulnerability-scanning .agents/skills/performing-agentless-vulnerability-scanning && 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-agentless-vulnerability-scanning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-agentless-vulnerability-scanning into .agents/skills/performing-agentless-vulnerability-scanning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-agentless-vulnerability-scanning", 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-agentless-vulnerability-scanning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-agentless-vulnerability-scanning --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-agentless-vulnerability-scanning .cursor/skills/performing-agentless-vulnerability-scanning && 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-agentless-vulnerability-scanning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-agentless-vulnerability-scanning into .cursor/skills/performing-agentless-vulnerability-scanning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-agentless-vulnerability-scanning", 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-agentless-vulnerability-scanning--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-agentless-vulnerability-scanning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills performing-agentless-vulnerability-scanning --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-agentless-vulnerability-scanning .gemini/skills/performing-agentless-vulnerability-scanning && 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-agentless-vulnerability-scanning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-agentless-vulnerability-scanning into .gemini/skills/performing-agentless-vulnerability-scanning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-agentless-vulnerability-scanning", 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-agentless-vulnerability-scanningInstalls 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-agentless-vulnerability-scanning -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-agentless-vulnerability-scanning .github/skills/performing-agentless-vulnerability-scanning && 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-agentless-vulnerability-scanning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-agentless-vulnerability-scanning into .github/skills/performing-agentless-vulnerability-scanning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-agentless-vulnerability-scanning", 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-agentless-vulnerability-scanning -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-agentless-vulnerability-scanning --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-agentless-vulnerability-scanning .opencode/skills/performing-agentless-vulnerability-scanning && 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-agentless-vulnerability-scanning" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/performing-agentless-vulnerability-scanning into .opencode/skills/performing-agentless-vulnerability-scanning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "performing-agentless-vulnerability-scanning", 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-agentless-vulnerability-scanningConfigure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and API-based discovery to assess systems without installing endpoint agents.
Performing Agentless Vulnerability Scanning is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Configure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and API-based discovery to assess systems without installing endpoint agents.
Its SKILL.md is about 3.8k 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 Vulnerability scanning. It works with Linux. 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.
Shell commands in SKILL.md call:
sshFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use ssh, which can reach the network depending on how they are called.
From 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 Agentless Vulnerability Scanning loads about 3.8k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 57 tokens; SKILL.md has 506 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). 506 words, ~3,807 tokens.
.claude/skills/performing-agentless-vulnerability-scanning/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Agentless vulnerability scanning assesses systems for security weaknesses without requiring endpoint agent installation. This approach leverages existing network protocols (SSH for Linux, WMI for Windows), cloud provider APIs for snapshot-based analysis, and authenticated remote checks. Modern cloud platforms like Microsoft Defender for Cloud, Wiz, Datadog, and Tenable perform out-of-band analysis by taking disk snapshots and examining OS configurations and installed packages offline. The open-source tool Vuls provides agentless scanning based on NVD and OVAL data for Linux/FreeBSD systems. This skill covers configuring agentless scans across on-premises, cloud, and containerized environments.
| Aspect | Agentless | Agent-Based |
|---|---|---|
| Deployment | No software installation needed | Agent install on every endpoint |
| Network dependency | Requires network connectivity | Works offline with cloud sync |
| Performance impact | Minimal on target systems | Light continuous overhead |
| Coverage depth | Depends on protocol/credentials | Deep local access |
| Cloud snapshot analysis | Native capability | Not applicable |
| Ideal for | Cloud VMs, IoT, legacy systems, OT | Managed endpoints, laptops |
| Method | Protocol | Target OS | Port | Use Case |
|---|---|---|---|---|
| SSH Remote Commands | SSH | Linux/Unix | 22 | Package enumeration, config audit |
| WMI Remote Query | WMI/DCOM | Windows | 135, 445 | Hotfix enumeration, registry checks |
| WinRM PowerShell | WS-Man | Windows | 5985/5986 | Remote command execution |
| SNMP Community | SNMP v2c/v3 | Network devices | 161 | Device fingerprinting, firmware check |
| Cloud Snapshot | Provider API | Cloud VMs | N/A | Disk image analysis |
| Container Registry | HTTPS | Container images | 443 | Image vulnerability scanning |
| API-Based | REST/HTTPS | SaaS/Cloud | 443 | Configuration assessment |
1. Scanner requests disk snapshot via cloud API
2. Cloud provider creates snapshot of VM root + data disks
3. Scanner mounts snapshot in isolated analysis environment
4. Scanner examines OS packages, configurations, file system
5. Snapshot is deleted after analysis (no persistent copies)
6. Results sent to central management console# Create dedicated scan SSH key pair
ssh-keygen -t ed25519 -f /opt/scanner/.ssh/scan_key -N "" \
-C "vuln-scanner@security.local"
# Deploy public key to targets via Ansible
# ansible-playbook deploy_scan_key.yml
# Test connectivity to target
ssh -i /opt/scanner/.ssh/scan_key -o ConnectTimeout=10 \
scanner@target-host "cat /etc/os-release && dpkg -l 2>/dev/null || rpm -qa"import paramiko
import json
class AgentlessLinuxScanner:
"""SSH-based agentless vulnerability scanner for Linux systems."""
def __init__(self, key_path):
self.key_path = key_path
def connect(self, hostname, username="scanner", port=22):
"""Establish SSH connection to target."""
client = paramiko.SSHClient()
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
key = paramiko.Ed25519Key.from_private_key_file(self.key_path)
client.connect(hostname, port=port, username=username, pkey=key,
timeout=30, banner_timeout=30)
return client
def get_os_info(self, client):
"""Detect OS type and version."""
_, stdout, _ = client.exec_command("cat /etc/os-release", timeout=10)
os_release = stdout.read().decode()
info = {}
for line in os_release.strip().split("\n"):
if "=" in line:
key, val = line.split("=", 1)
info[key] = val.strip('"')
return info
def get_installed_packages(self, client):
"""Enumerate installed packages."""
# Try dpkg (Debian/Ubuntu)
_, stdout, _ = client.exec_command(
"dpkg-query -W -f='${Package}|${Version}|${Architecture}\\n'",
timeout=30
)
output = stdout.read().decode().strip()
if output:
packages = []
for line in output.split("\n"):
parts = line.split("|")
if len(parts) >= 2:
packages.append({
"name": parts[0],
"version": parts[1],
"arch": parts[2] if len(parts) > 2 else "",
"manager": "dpkg"
})
return packages
# Try rpm (RHEL/CentOS/Fedora)
_, stdout, _ = client.exec_command(
"rpm -qa --queryformat '%{NAME}|%{VERSION}-%{RELEASE}|%{ARCH}\\n'",
timeout=30
)
output = stdout.read().decode().strip()
packages = []
for line in output.split("\n"):
parts = line.split("|")
if len(parts) >= 2:
packages.append({
"name": parts[0],
"version": parts[1],
"arch": parts[2] if len(parts) > 2 else "",
"manager": "rpm"
})
return packages
def check_kernel_version(self, client):
"""Get running kernel version."""
_, stdout, _ = client.exec_command("uname -r", timeout=10)
return stdout.read().decode().strip()
def check_listening_ports(self, client):
"""Enumerate listening network services."""
_, stdout, _ = client.exec_command(
"ss -tlnp 2>/dev/null || netstat -tlnp 2>/dev/null",
timeout=10
)
return stdout.read().decode().strip()
def scan_host(self, hostname, username="scanner"):
"""Perform full agentless scan of a host."""
print(f"[*] Scanning {hostname}...")
client = self.connect(hostname, username)
result = {
"hostname": hostname,
"os_info": self.get_os_info(client),
"kernel": self.check_kernel_version(client),
"packages": self.get_installed_packages(client),
"listening_ports": self.check_listening_ports(client),
}
client.close()
print(f" [+] Found {len(result['packages'])} packages on {hostname}")
return resultimport winrm
class AgentlessWindowsScanner:
"""WinRM-based agentless vulnerability scanner for Windows."""
def __init__(self, username, password, domain=None):
self.username = username
self.password = password
self.domain = domain
def connect(self, hostname, use_ssl=True):
"""Create WinRM session."""
port = 5986 if use_ssl else 5985
transport = "ntlm"
user = f"{self.domain}\\{self.username}" if self.domain else self.username
session = winrm.Session(
f"{'https' if use_ssl else 'http'}://{hostname}:{port}/wsman",
auth=(user, self.password),
transport=transport,
server_cert_validation="ignore"
)
return session
def get_installed_hotfixes(self, session):
"""Get installed Windows updates/hotfixes."""
cmd = "Get-HotFix | Select-Object HotFixID,InstalledOn,Description | ConvertTo-Json"
result = session.run_ps(cmd)
if result.status_code == 0:
return json.loads(result.std_out.decode())
return []
def get_installed_software(self, session):
"""Enumerate installed software from registry."""
cmd = """
$paths = @(
'HKLM:\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Uninstall\\*',
'HKLM:\\SOFTWARE\\WOW6432Node\\Microsoft\\Windows\\CurrentVersion\\Uninstall\\*'
)
Get-ItemProperty $paths -ErrorAction SilentlyContinue |
Where-Object {$_.DisplayName} |
Select-Object DisplayName, DisplayVersion, Publisher |
ConvertTo-Json
"""
result = session.run_ps(cmd)
if result.status_code == 0:
return json.loads(result.std_out.decode())
return []
def get_os_info(self, session):
"""Get Windows OS details."""
cmd = "Get-CimInstance Win32_OperatingSystem | Select-Object Caption,Version,BuildNumber,OSArchitecture | ConvertTo-Json"
result = session.run_ps(cmd)
if result.status_code == 0:
return json.loads(result.std_out.decode())
return {}
def scan_host(self, hostname):
"""Perform full agentless scan of Windows host."""
print(f"[*] Scanning {hostname} via WinRM...")
session = self.connect(hostname)
result = {
"hostname": hostname,
"os_info": self.get_os_info(session),
"hotfixes": self.get_installed_hotfixes(session),
"software": self.get_installed_software(session),
}
print(f" [+] Found {len(result['hotfixes'])} hotfixes, "
f"{len(result['software'])} software entries")
return resultimport boto3
import time
class AWSSnapshotScanner:
"""AWS EC2 agentless snapshot-based vulnerability scanner."""
def __init__(self, region="us-east-1"):
self.ec2 = boto3.client("ec2", region_name=region)
def create_snapshot(self, volume_id, description="Security scan snapshot"):
"""Create EBS snapshot for analysis."""
snapshot = self.ec2.create_snapshot(
VolumeId=volume_id,
Description=description,
TagSpecifications=[{
"ResourceType": "snapshot",
"Tags": [
{"Key": "Purpose", "Value": "VulnScan"},
{"Key": "AutoDelete", "Value": "true"},
]
}]
)
snapshot_id = snapshot["SnapshotId"]
print(f" [*] Creating snapshot {snapshot_id} from {volume_id}...")
waiter = self.ec2.get_waiter("snapshot_completed")
waiter.wait(SnapshotIds=[snapshot_id])
print(f" [+] Snapshot {snapshot_id} ready")
return snapshot_id
def delete_snapshot(self, snapshot_id):
"""Clean up snapshot after analysis."""
self.ec2.delete_snapshot(SnapshotId=snapshot_id)
print(f" [+] Deleted snapshot {snapshot_id}")
def scan_instance(self, instance_id):
"""Scan an EC2 instance via snapshot analysis."""
print(f"[*] Agentless scan of instance {instance_id}")
instance = self.ec2.describe_instances(
InstanceIds=[instance_id]
)["Reservations"][0]["Instances"][0]
root_volume = None
for bdm in instance.get("BlockDeviceMappings", []):
if bdm["DeviceName"] == instance.get("RootDeviceName"):
root_volume = bdm["Ebs"]["VolumeId"]
break
if not root_volume:
print(" [!] No root volume found")
return None
snapshot_id = self.create_snapshot(root_volume)
try:
# Analysis would be performed here
# Mount snapshot, examine packages, check configs
result = {
"instance_id": instance_id,
"snapshot_id": snapshot_id,
"root_volume": root_volume,
"platform": instance.get("Platform", "linux"),
"state": instance["State"]["Name"],
}
return result
finally:
self.delete_snapshot(snapshot_id)# /etc/vuls/config.toml - Vuls configuration for agentless scanning
[servers]
[servers.web-server-01]
host = "192.168.1.10"
port = "22"
user = "vuls"
keyPath = "/opt/vuls/.ssh/scan_key"
scanMode = ["fast"]
[servers.db-server-01]
host = "192.168.1.20"
port = "22"
user = "vuls"
keyPath = "/opt/vuls/.ssh/scan_key"
scanMode = ["fast-root"]
[servers.db-server-01.optional]
[servers.db-server-01.optional.sudo]
password = ""
[servers.container-host-01]
host = "192.168.1.30"
port = "22"
user = "vuls"
keyPath = "/opt/vuls/.ssh/scan_key"
scanMode = ["fast"]
containersIncluded = ["${running}"]# Run Vuls agentless scan
vuls scan
# Generate report
vuls report -format-json -to-localfile
# View results
vuls tui© 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-agentless-vulnerability-scanning of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Performing Agentless Vulnerability Scanning 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 Agentless Vulnerability Scanning this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Write Cve Ruleevdenis/cvehound | 138 | — | ~2.5k | Automated safety check: Pass | GPL-3.0 | |
| Host Cve Validatorinfometa/workbuddyskills | 346 | — | ~1.8k | Automated safety check: Notes | Proprietary | |
| Kernel Securitymohitmishra786/low-level-dev-skills | 253 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Alibabacloud Ecs Sec Kernelaliyun/alibabacloud-ecs-troubleshoot-skills | 148 | — | ~2.4k | Automated safety check: Notes | Apache-2.0 | |
| Alibabacloud Ecs Sec Userspacealiyun/alibabacloud-ecs-troubleshoot-skills | 148 | — | ~2.6k | Automated safety check: Notes | Apache-2.0 |
evdenis/cvehound
Write, debug, or validate a CVEhound detection rule (.cocci or .grep) for a Linux kernel CVE.
infometa/workbuddyskills
主机安全CVE漏洞修复验证引擎。从主机漏扫报告(Excel)或CVE编号自动提取漏洞,查询威胁情报(NVD/EPSS/MSRC/OVAL),生成修复脚本(fix.sh/fix.ps1),SSH验证脚本可执行性,产出修复验证报告。覆盖 Linux(centos/ubuntu/debian/suse/amazon/fedora/alpine/arch) + Windows + Web-CMS…
mohitmishra786/low-level-dev-skills
Linux kernel security skill for LSM, hardening, and exploit mitigations.
aliyun/alibabacloud-ecs-troubleshoot-skills
Linux 内核态 CVE 漏洞检测与 PoC 验证工具,专为 AI Agent 设计. An agent skill from aliyun/alibabacloud-ecs-troubleshoot-skills.
aliyun/alibabacloud-ecs-troubleshoot-skills
Linux 用户态安全入侵检测与取证工具,专为 AI Agent 设计。自动判断服务器是否被入侵, 提供完整证据链和可执行修复建议。51 个安全分析器覆盖进程/网络/认证/持久化/Rootkit/ 恶意软件/内存取证/容器逃逸等 12 类检测维度,10 个数据采集器全面采集系统状态, 映射 103+ MITRE ATT&CK 技术,支持 standalone/docker/k8s 三种部署模式。
kubernetes-sigs/cloud-provider-azure
Orchestrate end-to-end CVE remediation for the Linux CCM, CNM, and health-probe-proxy images on cloud-provider-azure master or a release-X.Y branch, including builds, repeated Trivy verification…
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
Configure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and API-based discovery to assess systems without installing endpoint agents. Performing Agentless Vulnerability Scanning is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Configure and execute agentless vulnerability scanning using network protocols, cloud snapshot analysis, and API-based discovery to assess systems without installing endpoint agents.
Performing Agentless Vulnerability Scanning fits situations like: tasks that involve Vulnerability scanning.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-agentless-vulnerability-scanning -a claude-code`. Or copy the skill folder (skills/performing-agentless-vulnerability-scanning in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/performing-agentless-vulnerability-scanning in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill performing-agentless-vulnerability-scanning -a codex`. Or copy the skill folder (skills/performing-agentless-vulnerability-scanning in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/performing-agentless-vulnerability-scanning 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-agentless-vulnerability-scanning -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-agentless-vulnerability-scanning, .gemini/skills/performing-agentless-vulnerability-scanning, .github/skills/performing-agentless-vulnerability-scanning and .opencode/skills/performing-agentless-vulnerability-scanning in your project.
Going by SKILL.md and its folder, Performing Agentless Vulnerability Scanning needs Python for the scripts in its folder and the command-line tools its instructions call (ssh). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use ssh, which can reach the network depending on how they are called. 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 Agentless Vulnerability Scanning 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 3.8k tokens (SKILL.md is roughly 15k 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 1.7k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Performing Agentless Vulnerability Scanning: Write Cve Rule (evdenis/cvehound, 138 stars), Host Cve Validator (infometa/workbuddyskills, 346 stars), Kernel Security (mohitmishra786/low-level-dev-skills, 253 stars) and Alibabacloud Ecs Sec Kernel (aliyun/alibabacloud-ecs-troubleshoot-skills, 148 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.