Quality Standards
CheckedThis skill assesses text against predefined quality standards, ensuring consistency and accuracy for improved content.
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 bejranonda/llm-autonomous-agent-plugin-for-claude --skill quality-standards -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
bejranonda
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 bejranonda/llm-autonomous-agent-plugin-for-claude at d7c47f644e.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- d7c47f644e
- Scanned
- 1 file, 43 lines
About this skill
What it does
This skill, authored by bejranonda, provides access to quality standards. The specific nature of these standards isn't detailed in the provided source material, but the skill aims to integrate them into AI agent workflows. It allows agents to leverage pre-defined benchmarks and guidelines for improved output.
When to use it
- When needing to ensure outputs adhere to a specific set of criteria or regulations.
- For tasks requiring consistent quality and accuracy across multiple iterations.
- To automate the assessment of generated content against established standards.
- In scenarios where compliance with industry best practices is essential.
Key capabilities
- Access to quality standards
- Integration into AI agent workflows
- Potential for automated output assessment (implied)
Example prompts
- "Apply the relevant quality standard to this draft report."
- "Check this code snippet against the established quality guidelines."
- "Ensure this generated marketing copy meets the required standards."
Tips & gotchas
The specific nature and scope of the "quality standards" are not defined in the provided source. Success depends on understanding what those standards are and how they apply to your use case.