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Clawsec Nanoclaw

Listed
prompt-security·vlatest·agents·AGPL-3.0

Clawsec Nanoclaw swiftly identifies and neutralizes low-severity malware threats in real-time, minimizing disruption and protecting your systems proactively.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add prompt-security/clawsec --skill clawsec-nanoclaw -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

prompt-security

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.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: clawsec.prompt.security.

    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.

    Hosts contacted

    clawsec.prompt.securityundeclared

    What it found

    • skills/clawsec-nanoclaw/host-services/advisory-cache.ts:27contacts clawsec.prompt.security
      const FEED_URL = 'https://clawsec.prompt.security/advisories/feed.json';
    • skills/clawsec-nanoclaw/lib/advisories.ts:24contacts clawsec.prompt.security
      const DEFAULT_FEED_URL = 'https://clawsec.prompt.security/advisories/feed.json';

  • 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 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 prompt-security/clawsec at c8faf9de88.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
c8faf9de88
Manifest
skills/clawsec-nanoclaw/SKILL.md
Scanned
23 files, 6,168 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The clawsec-nanoclaw skill provides a mechanism to scan and identify potential vulnerabilities in prompts. It analyzes prompts against a set of rules defined within the ClawSec framework, allowing users to proactively detect and mitigate risks associated with malicious or unintended prompt behavior. This helps ensure that AI agents respond safely and predictably.

When to use it

  • Prompt Security Audits: Regularly scan existing prompts for potential vulnerabilities before deployment.
  • New Prompt Development: Integrate into the development workflow to identify issues early on.
  • User-Provided Prompts: Analyze user input or dynamically generated prompts for safety concerns.
  • Automated Testing: Incorporate into automated testing pipelines to continuously monitor prompt security.

Key capabilities

  • Prompt scanning against ClawSec rules
  • Vulnerability identification
  • Integration with the ClawSec framework

Example prompts

  • "Scan this prompt for vulnerabilities: 'Translate the following text to French.'"
  • "Analyze the prompt 'Write a poem about cats' and report any potential security issues."
  • "Check if this prompt is safe: 'Generate code to access user data.'"

Tips & gotchas

The skill requires familiarity with the ClawSec framework. Ensure that the necessary ClawSec rules are configured for accurate vulnerability detection.