Mode Debug
CheckedInspects internal states and execution paths of other agents to diagnose issues and improve performance.
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 duck4nh/antigravity-kit --skill mode-debug -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
duck4nh
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 duck4nh/antigravity-kit at 90de2acb0b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 90de2acb0b
- Scanned
- 3 files, 213 lines
- Copies in repo
- 3 — all of them scanned
About this skill
What it does
The mode-debug skill allows an AI agent to enter a debugging mode, providing verbose output and internal state information. This is useful for understanding the agent's reasoning process and identifying potential errors. It enables detailed logging of actions taken and intermediate results during task execution.
When to use it
- Troubleshooting complex tasks: When an agent fails unexpectedly, activate debug mode to inspect its decision-making steps.
- Understanding agent behavior: Gain insight into how the agent is interpreting instructions and interacting with tools.
- Developing new skills or prompts: Use debug mode to observe the impact of changes on the agent's performance.
- Educational purposes: Demonstrate how an AI agent approaches a problem by showing its internal thought process.
Key capabilities
- Verbose logging of actions
- Display of intermediate results
- Access to internal state variables
- Detailed error reporting
Example prompts
- "Enable debug mode and then summarize this article."
- "Run the 'calculate_total' skill in debug mode."
- "Show me the agent’s internal state while it is browsing the web."
Tips & gotchas
Debug mode significantly increases verbosity, which can impact performance. It's recommended to disable debug mode after troubleshooting or analysis is complete.