Security scan reveals high severity finding in AI agent find-skills tool

The find-skills tool, designed to help AI agents discover and install additional capabilities, has been flagged with a high severity security finding during a routine security scan.
What happened
A developer building out their AI agent setup used the find-skills tool to locate and install more skills. After installation, they ran a security scan on their entire setup and discovered that the find-skills tool itself returned a high severity security finding.
The developer noted: "The tool I used to find tools is the one I should've been worried about." This discovery prompted questions about overall ecosystem safety, with the developer asking: "Is anything even safe in this ecosystem?"
Key details from the source
- The developer had been building their AI agent setup for several weeks
- They used find-skills specifically to locate and install additional skills
- A security scan was performed after installation "out of mild paranoia"
- The scan revealed a high severity finding in the find-skills tool itself
- The finding raises questions about trust in the broader AI agent ecosystem
This incident highlights the importance of security practices even for tools designed to enhance functionality. When using tools that install or modify your AI agent setup, consider running security scans before and after installation to identify potential vulnerabilities.
📖 Read the full source: r/openclaw
👀 See Also

Local Model Prompt Injection Scanner for AI Skills Security
A proof-of-concept tool scans third-party AI skills for hidden bash command injections using a local non-tool-calling model like mistral-small:latest on Ollama, addressing security vulnerabilities in Claude Code's ! operator feature.

Mass NPM & PyPI Supply Chain Attack Hits TanStack, Mistral AI, and 170+ Packages
A coordinated attack compromised 170+ npm packages and 2 PyPI packages, targeting TanStack (42 packages), Mistral AI SDKs, UiPath, OpenSearch, and Guardrails AI. Malicious versions execute a dropper that exfiltrates credentials and probes cloud metadata.

Cybercriminals Are Pushing Back Against AI-Generated Slop on Underground Forums
New research shows low-level hackers and scammers are complaining about AI-generated posts on cybercrime forums, viewing them as low-quality noise that undermines community trust and social interaction.

Testing Uncensored Qwen 3.5 35B Models for Cybersecurity Questions
A cybersecurity professional tested three uncensored Qwen 3.5 35B models on hacking and security bypass questions, finding significant differences in response quality compared to the original censored model. The uncensored models consistently provided answers where the original model refused or gave incomplete responses.