Security Awareness
CheckedIdentifies and flags potentially risky online behavior, prompting users to improve their digital safety practices.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add 1password/scam --skill security-awareness -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
1password
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned 1password/scam at ce2761e853.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- ce2761e853
- Scanned
- 1 file, 48 lines
About this skill
What it does
This skill enables AI agents to detect and analyze potential security threats, phishing attempts, and social engineering tactics within communications. It provides real-time verification of suspicious links and entities to prevent data breaches and unauthorized access.
When to use it
- Scanning incoming emails or messages for malicious attachments or deceptive sender addresses.
- Validating the legitimacy of external links before an agent clicks or processes them.
- Analyzing user-generated content for indicators of compromise or credential harvesting attempts.
- Assisting in incident response by identifying the scope of a potential security breach.
Key capabilities
- Phishing detection and link safety verification
- Social engineering pattern recognition
- Real-time threat intelligence integration
- Automated risk scoring for suspicious activities
Example prompts
- "Analyze this email thread and flag any messages that exhibit signs of phishing or social engineering."
- "Check if the URL in this message is safe to visit or if it leads to a known malicious site."
- "Review these chat logs for any attempts to extract sensitive credentials from users."
Tips & gotchas
Ensure your AI agent has access to up-to-date threat intelligence feeds, as phishing tactics evolve rapidly. This skill complements technical controls but should not replace human oversight when high-stakes decisions are involved.