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Agentlint

Checked
cjavdev·vlatest·agents

Agentlint analyzes your agents for potential issues like incorrect data types or missing fields, ensuring robust and reliable workflows.

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 cjavdev/agent-lint --skill agentlint -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

cjavdev

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 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

    Only contacts known or declared hosts: www.sitemaps.org.

    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

    www.sitemaps.orgnamespace identifier

  • 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 cjavdev/agent-lint at 04dcd58475.

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

Commit
04dcd58475
Manifest
skills/agentlint/SKILL.md
Scanned
2 files, 916 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 agentlint skill helps identify potential issues and improve the quality of AI agent prompts. It analyzes prompt structure, identifies common pitfalls like hallucinations or logical inconsistencies, and offers suggestions for refinement. This leads to more reliable and predictable agent behavior.

When to use it

  • Prompt Debugging: When an agent is producing unexpected or incorrect results, agentlint can help pinpoint the source of the problem in the prompt itself.
  • New Prompt Creation: Use agentlint proactively when designing new prompts to catch potential issues before deployment.
  • Agent Template Standardization: Enforce consistent prompting practices across a team by using agentlint to evaluate and refine agent templates.
  • Complex Reasoning Tasks: For agents tackling intricate tasks requiring multi-step reasoning, agentlint can help ensure logical flow and prevent errors.

Key capabilities

  • Prompt analysis
  • Hallucination detection
  • Logical consistency checks
  • Suggestion generation for prompt refinement

Example prompts

  • "Analyze this prompt: 'Write a short story about a cat detective.'"
  • "Can you check this agent prompt for potential logical errors? [Insert Prompt Here]"
  • "Suggest improvements to this prompt: 'Summarize the following article in three sentences.'"

Tips & gotchas

agentlint is most effective when used with clear, well-defined prompts. It's a tool to aid prompt engineering, not replace it; human review of suggestions remains crucial.