Openclaw Live Updater
openclaw/openclaw
Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.
Agent skill
Hardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hardening-linux-endpoint-with-cis-benchmark -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hardening-linux-endpoint-with-cis-benchmark --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/hardening-linux-endpoint-with-cis-benchmark .claude/skills/hardening-linux-endpoint-with-cis-benchmark && 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 "hardening-linux-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-linux-endpoint-with-cis-benchmark into .claude/skills/hardening-linux-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-linux-endpoint-with-cis-benchmark", 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/hardening-linux-endpoint-with-cis-benchmarkType 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 hardening-linux-endpoint-with-cis-benchmark -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hardening-linux-endpoint-with-cis-benchmark --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/hardening-linux-endpoint-with-cis-benchmark .agents/skills/hardening-linux-endpoint-with-cis-benchmark && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hardening-linux-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-linux-endpoint-with-cis-benchmark into .agents/skills/hardening-linux-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-linux-endpoint-with-cis-benchmark", 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 hardening-linux-endpoint-with-cis-benchmark -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hardening-linux-endpoint-with-cis-benchmark --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/hardening-linux-endpoint-with-cis-benchmark .cursor/skills/hardening-linux-endpoint-with-cis-benchmark && 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 "hardening-linux-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-linux-endpoint-with-cis-benchmark into .cursor/skills/hardening-linux-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-linux-endpoint-with-cis-benchmark", 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/hardening-linux-endpoint-with-cis-benchmark--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 hardening-linux-endpoint-with-cis-benchmark -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills hardening-linux-endpoint-with-cis-benchmark --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/hardening-linux-endpoint-with-cis-benchmark .gemini/skills/hardening-linux-endpoint-with-cis-benchmark && 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 "hardening-linux-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-linux-endpoint-with-cis-benchmark into .gemini/skills/hardening-linux-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-linux-endpoint-with-cis-benchmark", 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 hardening-linux-endpoint-with-cis-benchmarkInstalls 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 hardening-linux-endpoint-with-cis-benchmark -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/hardening-linux-endpoint-with-cis-benchmark .github/skills/hardening-linux-endpoint-with-cis-benchmark && 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 "hardening-linux-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-linux-endpoint-with-cis-benchmark into .github/skills/hardening-linux-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-linux-endpoint-with-cis-benchmark", 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 hardening-linux-endpoint-with-cis-benchmark -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 hardening-linux-endpoint-with-cis-benchmark --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/hardening-linux-endpoint-with-cis-benchmark .opencode/skills/hardening-linux-endpoint-with-cis-benchmark && 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 "hardening-linux-endpoint-with-cis-benchmark" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/hardening-linux-endpoint-with-cis-benchmark into .opencode/skills/hardening-linux-endpoint-with-cis-benchmark/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hardening-linux-endpoint-with-cis-benchmark", 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.
hardening-linux-endpoint-with-cis-benchmarkHardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements.
Hardening Linux Endpoint With Cis Benchmark is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Hardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements. Use when deploying new Linux servers, remediating audit findings, or establishing security baselines for Linux infrastructure. Activates for requests involving Linux hardening, CIS benchmarks for Linux, server security baselines, or Linux configuration compliance.
Its SKILL.md is about 1.8k 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 DevOps & Cloud, covering Linux administration, Threat modeling and Audit readiness. It works with Linux and Ansible. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
aptFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Hardening Linux Endpoint With Cis Benchmark loads about 1.8k tokens when it runs, and up to ~2.8k if it reads all its reference files. Until then it costs about 121 tokens; SKILL.md has 290 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 noted patterns worth knowing about, such as sudo or a known installer.
- Root or sudo access on target Linux endpointsAutomated 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). 290 words, ~1,829 tokens.
.claude/skills/hardening-linux-endpoint-with-cis-benchmark/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Use this skill when:
Do not use for Windows hardening (use hardening-windows-endpoint-with-cis-benchmark).
# 1.1.1 Disable unused filesystems
cat >> /etc/modprobe.d/CIS.conf << 'EOF'
install cramfs /bin/true
install freevxfs /bin/true
install jffs2 /bin/true
install hfs /bin/true
install hfsplus /bin/true
install squashfs /bin/true
install udf /bin/true
EOF
# 1.1.2 Ensure /tmp is a separate partition with nodev,nosuid,noexec
# /etc/fstab entry:
# tmpfs /tmp tmpfs defaults,rw,nosuid,nodev,noexec,relatime 0 0
systemctl unmask tmp.mount
systemctl enable tmp.mount
# 1.1.8 Ensure nodev option on /dev/shm
mount -o remount,nodev,nosuid,noexec /dev/shm
echo "tmpfs /dev/shm tmpfs defaults,nodev,nosuid,noexec 0 0" >> /etc/fstab
# 1.4 Secure boot settings
chown root:root /boot/grub/grub.cfg
chmod 600 /boot/grub/grub.cfg
# Set GRUB password
grub-mkpasswd-pbkdf2 # Generate hash, add to /etc/grub.d/40_custom# 2.1 Disable unnecessary services
systemctl disable --now avahi-daemon
systemctl disable --now cups
systemctl disable --now rpcbind
systemctl disable --now xinetd
# 2.2 Ensure NTP is configured
apt install chrony -y # or systemd-timesyncd
systemctl enable --now chrony
# 3.1 Network parameters (host only, not router)
cat >> /etc/sysctl.d/99-cis.conf << 'EOF'
net.ipv4.ip_forward = 0
net.ipv4.conf.all.send_redirects = 0
net.ipv4.conf.default.send_redirects = 0
net.ipv4.conf.all.accept_source_route = 0
net.ipv4.conf.default.accept_source_route = 0
net.ipv4.conf.all.accept_redirects = 0
net.ipv4.conf.default.accept_redirects = 0
net.ipv4.conf.all.secure_redirects = 0
net.ipv4.conf.default.secure_redirects = 0
net.ipv4.conf.all.log_martians = 1
net.ipv4.conf.default.log_martians = 1
net.ipv4.icmp_echo_ignore_broadcasts = 1
net.ipv4.icmp_ignore_bogus_error_responses = 1
net.ipv4.conf.all.rp_filter = 1
net.ipv4.conf.default.rp_filter = 1
net.ipv4.tcp_syncookies = 1
net.ipv6.conf.all.accept_ra = 0
net.ipv6.conf.default.accept_ra = 0
EOF
sysctl --system
# 3.4 Configure firewall (UFW or firewalld)
ufw enable
ufw default deny incoming
ufw default allow outgoing
ufw allow ssh# 5.2 SSH Server Configuration (/etc/ssh/sshd_config)
sed -i 's/#Protocol 2/Protocol 2/' /etc/ssh/sshd_config
cat >> /etc/ssh/sshd_config << 'EOF'
LogLevel VERBOSE
MaxAuthTries 4
PermitRootLogin no
PermitEmptyPasswords no
PasswordAuthentication no
X11Forwarding no
MaxStartups 10:30:60
LoginGraceTime 60
AllowTcpForwarding no
ClientAliveInterval 300
ClientAliveCountMax 3
EOF
systemctl restart sshd
# 5.3 Password policy (PAM)
# /etc/security/pwquality.conf
minlen = 14
dcredit = -1
ucredit = -1
ocredit = -1
lcredit = -1
# 5.4 User account settings
# /etc/login.defs
PASS_MAX_DAYS 365
PASS_MIN_DAYS 1
PASS_WARN_AGE 7
# Lock inactive accounts
useradd -D -f 30# Install and configure auditd
apt install auditd audispd-plugins -y
systemctl enable --now auditd
# /etc/audit/rules.d/cis.rules
cat > /etc/audit/rules.d/cis.rules << 'EOF'
-w /etc/sudoers -p wa -k scope
-w /etc/sudoers.d/ -p wa -k scope
-w /var/log/sudo.log -p wa -k actions
-a always,exit -F arch=b64 -S adjtimex -S settimeofday -k time-change
-a always,exit -F arch=b64 -S sethostname -S setdomainname -k system-locale
-w /etc/group -p wa -k identity
-w /etc/passwd -p wa -k identity
-w /etc/shadow -p wa -k identity
-w /var/log/faillog -p wa -k logins
-w /var/log/lastlog -p wa -k logins
-a always,exit -F arch=b64 -S chmod -S fchmod -S fchmodat -k perm_mod
-a always,exit -F arch=b64 -S unlink -S rmdir -S rename -k delete
-w /sbin/insmod -p x -k modules
-w /sbin/modprobe -p x -k modules
-e 2
EOF
augenrules --load
# Configure rsyslog for remote logging
echo "*.* @@syslog-server.corp.com:514" >> /etc/rsyslog.d/50-remote.conf
systemctl restart rsyslog# Install OpenSCAP
apt install openscap-scanner scap-security-guide -y
# Run CIS benchmark assessment
oscap xccdf eval \
--profile xccdf_org.ssgproject.content_profile_cis_level1_server \
--results /tmp/cis_results.xml \
--report /tmp/cis_report.html \
/usr/share/xml/scap/ssg/content/ssg-ubuntu2204-ds.xml
# View HTML report in browser for detailed results| Term | Definition |
|---|---|
| OpenSCAP | Open-source SCAP (Security Content Automation Protocol) scanner for automated compliance |
| auditd | Linux audit framework for monitoring system calls and file access |
| PAM | Pluggable Authentication Modules; configurable authentication framework for Linux |
| sysctl | Linux kernel parameter configuration for network and system security tuning |
| AIDE | Advanced Intrusion Detection Environment; file integrity checker for Linux |
© 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/hardening-linux-endpoint-with-cis-benchmark of mukul975/Anthropic-Cybersecurity-Skills.
Open the folder on GitHubat commit 54a7988
Hardening Linux Endpoint With Cis Benchmark 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 |
|---|---|---|---|---|---|---|
| Hardening Linux Endpoint With Cis Benchmark this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Openclaw Live Updateropenclaw/openclaw | 392k | — | ~3.7k | Automated safety check: Pass | MIT | |
| Openbkn Deployopenbkn-ai/bkn-foundry | 661 | — | ~1.9k | Automated safety check: Notes | Custom licence | |
| Spa Create Configsplunk/splunk-platform-automator | 138 | — | ~3.5k | Automated safety check: Pass | Proprietary | |
| Minimegasandia-minimega/minimega | 160 | — | ~3.2k | Automated safety check: Pass | GPL-3.0-only | |
| Setup Cpu Proxy Serverdrawthingsai/draw-things-community | 584 | — | ~3.8k | Automated safety check: Pass | GPL-3.0 |
openclaw/openclaw
Maintain the canonical live OpenClaw main checkout, macOS LaunchAgent-managed Gateway, local macOS app, exact-head main CI, and recurring full release validation.
openbkn-ai/bkn-foundry
Deploy or upgrade OpenBKN on a customer-authorized Linux server through the repository's deploy scripts, with preflight checks, explicit confirmation, secret handling, and post-deployment…
splunk/splunk-platform-automator
A skill your agent uses when creating or updating splunkconfig.yml, designing Splunk Enterprise lab topology, multisite IDXC, SHC layout, architecture plan before config, or AWS Terraform block for…
sandia-minimega/minimega
This skill should be used when the user asks how to configure, run, automate, integrate, or troubleshoot minimega (VMs, namespaces, VLANs, clusters, miniccc, miniweb, command socket or Python API…
drawthingsai/draw-things-community
Set up and verify a new Draw Things CPU proxy and Envoy server using the scripts in Scripts/ServerManagement/CPUScript.
ferrumclaudepilgrim/claude-code-android
Android/Termux constraints reference. An agent skill from ferrumclaudepilgrim/claude-code-android.
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
Hardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements. Hardening Linux Endpoint With Cis Benchmark is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Hardens Linux endpoints using CIS Benchmark recommendations for Ubuntu, RHEL, and CentOS to reduce attack surface, enforce security baselines, and meet compliance requirements.
Hardening Linux Endpoint With Cis Benchmark fits situations like: deploying new Linux servers; remediating audit findings; establishing security baselines for Linux infrastructure.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hardening-linux-endpoint-with-cis-benchmark -a claude-code`. Or copy the skill folder (skills/hardening-linux-endpoint-with-cis-benchmark in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/hardening-linux-endpoint-with-cis-benchmark in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill hardening-linux-endpoint-with-cis-benchmark -a codex`. Or copy the skill folder (skills/hardening-linux-endpoint-with-cis-benchmark in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/hardening-linux-endpoint-with-cis-benchmark 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 hardening-linux-endpoint-with-cis-benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hardening-linux-endpoint-with-cis-benchmark, .gemini/skills/hardening-linux-endpoint-with-cis-benchmark, .github/skills/hardening-linux-endpoint-with-cis-benchmark and .opencode/skills/hardening-linux-endpoint-with-cis-benchmark in your project.
Going by SKILL.md and its folder, Hardening Linux Endpoint With Cis Benchmark needs Python for the scripts in its folder and the command-line tools its instructions call (apt). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (runs commands with sudo), nothing it rates as a warning. 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.
Hardening Linux Endpoint With Cis Benchmark 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 1.8k tokens (SKILL.md is roughly 7.3k 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 1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Hardening Linux Endpoint With Cis Benchmark: Openclaw Live Updater (openclaw/openclaw, 392k stars), Openbkn Deploy (openbkn-ai/bkn-foundry, 661 stars), Spa Create Config (splunk/splunk-platform-automator, 138 stars) and Minimega (sandia-minimega/minimega, 160 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.