Silk Debug
CheckedSilk-Debug analyzes application logs to pinpoint root causes of errors, accelerating troubleshooting and improving code quality.
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 letsrevel/revel-backend --skill silk-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
letsrevel
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 letsrevel/revel-backend at c49047bccb.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c49047bccb
- Scanned
- 1 file, 146 lines
About this skill
What it does
The silk-debug skill provides debugging capabilities for AI agents. It allows users to inspect and analyze agent behavior, potentially identifying errors or unexpected outcomes during task execution. This skill is designed to aid in the development and refinement of AI agent workflows by providing insights into their internal processes.
When to use it
- Troubleshooting Agent Errors: When an agent consistently fails to complete a task successfully, use
silk-debugto understand why. - Analyzing Unexpected Behavior: If an agent produces results that are surprising or incorrect, this skill can help pinpoint the source of the issue.
- Understanding Complex Workflows: For agents with intricate sequences of actions,
silk-debugcan provide visibility into each step's execution. - Optimizing Agent Performance: Identify bottlenecks or inefficiencies in an agent’s process by observing its behavior during operation.
Key capabilities
- Debugging AI agent workflows
- Analyzing agent behavior
- Inspecting internal processes
- Identifying errors and unexpected outcomes
Example prompts
- "Debug the last execution of my order processing agent."
- "Show me a trace of the 'calculate_shipping' function in my logistics agent."
- "What were the inputs to the 'recommend_product' step?"
Tips & gotchas
This skill requires access to the agent’s internal logs and state. Ensure appropriate permissions are configured for the AI agent using silk-debug.