Starwards Ci Debugging
ListedAutomatically identifies and suggests fixes for CI/CD pipeline failures using Starwards' advanced AI analysis.
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 starwards/starwards --skill starwards-ci-debugging -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
starwards
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 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: mcr.microsoft.com.
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
mcr.microsoft.comundeclaredWhat it found
- .agents/skills/starwards-ci-debugging/SKILL.md:214contacts mcr.microsoft.com
curl -s https://mcr.microsoft.com/v2/playwright/tags/list | jq -r '.tags[] | select(startswith("v1.5"))' | sort -V | tail -10 - .claude/skills/starwards-ci-debugging/SKILL.md:214contacts mcr.microsoft.com
curl -s https://mcr.microsoft.com/v2/playwright/tags/list | jq -r '.tags[] | select(startswith("v1.5"))' | sort -V | tail -10
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 starwards/starwards at f7dc1575ae.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f7dc1575ae
- Scanned
- 2 files, 938 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
This skill allows AI agents to debug continuous integration (CI) pipelines. It can analyze CI logs, identify error patterns, and suggest potential fixes for build failures. The tool helps streamline troubleshooting workflows and reduce time spent diagnosing pipeline issues.
When to use it
- Build failures: Use when a CI/CD pipeline consistently fails, and manual log analysis is proving difficult or time-consuming.
- Recurring errors: Employ this skill when specific error messages or patterns appear repeatedly in build logs.
- Complex pipelines: Leverage the debugging capabilities for intricate CI pipelines with multiple stages and dependencies.
- Performance bottlenecks: Identify slowdowns within a CI pipeline by analyzing execution times of different steps.
Key capabilities
- CI log analysis
- Error pattern identification
- Suggestion of potential fixes
- Pipeline performance analysis
Example prompts
- "Analyze the latest build logs for repository X and identify the root cause of the failure."
- "What are the most common error patterns in our CI pipeline?"
- "Suggest a fix for this specific error message found in the build log: [error message]."
Tips & gotchas
The skill's effectiveness depends on the quality and completeness of the CI logs. Ensure that your CI system is configured to provide detailed, verbose logging for accurate debugging.