The autonomous trust layer for the AI agent economy. AI-powered. 5 layer defense. Everything managed by your AI CISO™ | 2x #2 Product Hunt

Neural Networks
Joined February 2026
Your AI agent finds a skill through a link in a forum post and starts to install it. Here's what happens next when your agent has an AI CISO. 🔵 Step 1: Claw intercepts the install before a single line runs 🔵 Step 2: It checks the skill against tens of thousands of audited agent components 🔵 Step 3: It tells you, in plain language, what it found: is it audited, what does it want access to, and what's the risk 🔵 Step 4: You decide. Install it with tightly scoped permissions, or walk away 🔵 Step 5: If you install it, 13 behavioral security rules keep watching for prompt injection, credential theft, and data exfiltration No dashboard to open. No scan to remember. The check happens at the exact moment it matters. Claw by ClawSecure (@ClawSecure): the first-ever AI Chief Information Security Officer for AI agents.
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Just audited claude-skills by borghei. Verified before install, so you can run it with confidence. Every agent component deserves that check. Skills, MCP servers, CLI tools, npm packages. Scan first, then build. What do you check before installing a new skill?
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Give every agent token an expiry date. MCP servers, CLI tools and plugins rarely need a credential that lives forever. Issue short-lived tokens instead. A leaked token that expires in an hour is an incident. One that never expires is an open door.
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ClawSecure Watchtower audited ui-ux-pro-max-skill by nextlevelbuilder. Score: 75/100, Moderate, 3 findings across code injection and configuration.
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A user is monitoring ClawSec by prompt-security, and its latest ClawSecure Watchtower re-scan came back 45/100, Warning, 6 findings across ClawHavoc and configuration.
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ClawSecure just re-scanned capability-evolver by OpenClaw, a skill a user is auditing. The Watchtower re-scan came back 0/100, Critical, 54 findings across ReDoS and code injection.
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A user is monitoring wake-up by KaiCMO, and its latest ClawSecure Watchtower re-scan came back clean: 95/100, Safe. The findings that did surface are minor.
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Permission creep happens one release at a time. Watchtower keeps re-auditing thousands of agent components, from MCP servers and CLI tools to skills and npm packages, flagging drift in code, configs, and dependencies. A clean scan today doesn't guarantee tomorrow.
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A new user scan just came through ClawSecure for claude-code-openclaw by ClawHub Skill, and it came back clean: 85/100, Safe. The findings that did surface are minor.
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Every agent tool you install expands your attack surface. MCP servers, CLI tools, skills, npm packages. ClawSecure has audited thousands of agent components against 55+ threat patterns, with coverage across all 10 OWASP ASI risks. What did your agent install this week?
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ibkr-cli by fatwang2 came through ClawSecure in a new user scan. Score: 95/100, Safe, 1 finding.
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If you can't trace it, you can't trust it. OWASP ASI calls it repudiation and untraceability. An agent acts through an MCP server or CLI tool and leaves no reliable record of what it did or why. ClawSecure runtime monitoring keeps that record for you.
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A new user scan just came through ClawSecure for skill-card.md. Score: 95/100, Safe, 1 finding.
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Just audited claude-skills by borghei against 55+ threat patterns. Good builders deserve proof, not guesswork. Every agent component you install, from skills to MCP servers to CLI tools, should be verified first. What do you check before you install?
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A user re-scanned Agent-Reach by Panniantong through ClawSecure Watchtower. Score: 75/100, Moderate, 3 findings across code injection and configuration.
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Pin every agent component to an exact version. MCP servers, CLI tools, skills, npm packages: lock them, and re-audit before every bump. One silent upstream update can swap the code you trusted for code nobody has reviewed.
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Watchtower re-scan flagged homunculus-code by Javan, a skill a user is monitoring. ClawSecure scored it 5/100, Critical, 10 findings across ClawHavoc and configuration.
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If a config file your AI agent reads changes and you didn't change it, you want to know within minutes, not weeks. Agent configs decide what your agent can reach and how it behaves. A quiet edit to one of them is one of the stealthiest ways to change an agent without anyone noticing. How to watch them: 🔵 1. List the files that shape your agent: MCP configs, agent settings, instruction and rules files, memory files 🔵 2. Put them under version control so every change has a diff 🔵 3. Run a file watcher that alerts the moment any of them changes 🔵 4. Review every diff. New server added? New permission? New instruction? Find out who or what made it 🔵 5. Treat any change you can't explain as an incident until proven otherwise ClawSecure (@ClawSecure) watches config changes automatically. Whatever tool you use, someone has to be watching.
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