skillvet

---

name: skillvet version: 2.0.7 description: Security scanner for ClawHub/community skills — detects malware, credential theft, exfiltration, prompt injection, obfuscation, homograph attacks, ANSI injection, campaign-specific attack patterns, and more before you install. Use when installing skills from ClawHub or any public marketplace, reviewing third-party agent skills for safety, or vetting untrusted code before giving it to your AI agent. Triggers: install skill, audit skill, check skill, vet skill, skill security, safe install, is this skill safe.

Skillvet

Security scanner for agent skills. 37 critical checks, 8 warning checks. No dependencies — just bash and grep. Includes Tirith-inspired detection patterns, campaign signatures from Koi Security research, and 1Password blog ClickFix patterns.

Usage

Safe install (installs, audits, auto-removes if critical):

bash skills/skillvet/scripts/safe-install.sh <skill-slug>

Audit an existing skill:

bash skills/skillvet/scripts/skill-audit.sh skills/some-skill

Audit all installed skills:

for d in skills/*/; do bash skills/skillvet/scripts/skill-audit.sh "$d"; done

JSON output (for automation):

bash skills/skillvet/scripts/skill-audit.sh --json skills/some-skill

Summary mode (one-line per skill):

bash skills/skillvet/scripts/skill-audit.sh --summary skills/some-skill

Exit codes: 0 clean, 1 warnings only, 2 critical findings.

Critical Checks (auto-blocked)

Core Security Checks (1-24)

#	Check	Example
1	Known exfiltration endpoints	webhook.site, ngrok.io, requestbin
2	Bulk env variable harvesting	printenv |, ${!*@}
3	Foreign credential access	ANTHROPIC_API_KEY, TELEGRAM_BOT_TOKEN in scripts
4	Code obfuscation	eval(), base64 decode, hex escapes
5	Path traversal / sensitive files	../../, ~/.ssh, ~/.clawdbot
6	Data exfiltration via curl/wget	curl --data, wget --post with variables
7	Reverse/bind shells	/dev/tcp/, nc -e, socat
8	.env file theft	dotenv loading in scripts (not docs)
9	Prompt injection in markdown	"ignore previous instructions" in SKILL.md
10	LLM tool exploitation	Instructions to send/email secrets
11	Agent config tampering	Write/modify AGENTS.md, SOUL.md, clawdbot.json
12	Unicode obfuscation	Zero-width chars, RTL override, bidi control chars
13	Suspicious setup commands	curl piped to bash in SKILL.md
14	Social engineering	Download external binaries, paste-and-run instructions
15	Shipped .env files	.env files (not .example) in the skill
16	Homograph URLs (Tirith)	Cyrillic і vs Latin i in hostnames
17	ANSI escape sequences (Tirith)	Terminal escape codes in code/data files
18	Punycode domains (Tirith)	xn-- prefixed IDN-encoded domains
19	Double-encoded paths (Tirith)	%25XX percent-encoding bypass
20	Shortened URLs (Tirith)	bit.ly, t.co, tinyurl.com hiding destinations
21	Pipe-to-shell	curl | bash (HTTP and HTTPS)
22	String construction evasion	'cu' + 'rl', String.fromCharCode, getattr(os,...)
23	Data flow chain analysis	Same file reads secrets, encodes, AND sends network requests
24	Time bomb detection	Date.now() > timestamp, setTimeout(fn, 86400000)

Campaign-Inspired Checks (25-34)

Inspired by Koi Security research which found 341 malicious skills on ClawHub.

#	Check	Example
25	Known C2/IOC IP blocklist	91.92.242.30, 54.91.154.110 (known AMOS C2 servers)
26	Password-protected archives	"extract using password: openclaw" — AV evasion
27	Paste service payloads	glot.io, pastebin.com hosting malicious scripts
28	GitHub releases binary downloads	Fake prerequisites pointing to .zip/.exe on GitHub
29	Base64 pipe-to-interpreter	echo '...' | base64 -D | bash — primary macOS vector
30	Subprocess + network commands	os.system("curl ...") — hidden pipe-to-shell in code
31	Fake URL misdirection (warning)	echo "https://apple.com/setup" decoy before real payload
32	Process persistence + network	nohup curl ... & — backdoor with network access
33	Fake prerequisite pattern	"Prerequisites" section with sketchy external downloads
34	xattr/chmod dropper	macOS Gatekeeper bypass: download → xattr -c → chmod +x → execute

1Password Blog-Inspired Checks (35-37)

Inspired by 1Password research on ClickFix-style attacks targeting agent skills.

#	Check	Example
35	ClickFix download+execute chain	curl -o /tmp/x && chmod +x && ./x, open -a with downloads
36	Suspicious package sources	pip install git+https://..., npm from non-official registries
37	Staged installer pattern	Fake dependency names like openclaw-core, some-lib

Severity Changes (v0.5.0)

• Raw IP URLs upgraded from WARNING → CRITICAL (malicious C2s commonly use raw IPs)
• Pipe-to-shell now catches both HTTP and HTTPS (not just insecure HTTP)

Warning Checks (flagged for review)

#	Check	Example
W1	Unknown external tool requirements	Non-standard CLI tools in install instructions
W2	Subprocess execution	child_process, exec(), os.system
W3	Network requests	axios, fetch, requests imports
W4	Minified/bundled files	First line >500 chars — can't audit
W5	Filesystem write operations	writeFile, open('w'), fs.append
W6	Insecure transport	curl -k, verify=False — TLS disabled
W7	Docker untrusted registries	Non-standard image sources

Optional: Tirith Integration

If the tirith binary is available on PATH, the scanner will additionally extract all URLs from code files and run tirith check against each unique hostname for deeper homograph/IDN analysis. This is purely additive — the scanner works fine without tirith installed.

IOC Updates

The C2 IP blocklist in check #25 is based on known indicators from:

• Koi Security report (Feb 2026)
• The Hacker News coverage
• OpenSourceMalware analysis

To update IOCs, edit the KNOWN_BAD_IPS variable in scripts/skill-audit.sh.

Limitations

Static analysis only. English-centric prompt injection patterns. Minified JS is flagged but not deobfuscated. A clean scan raises the bar but doesn't guarantee safety.

The scanner flags itself when audited — its own patterns contain the strings it detects. This is expected.