MichaelVessia/gh-comment
modules/programs/agents/shared/skills/gh-comment/SKILL.md
Comment on a GitHub PR or issue on Michael's behalf, clearly attributed as AI-generated. Use when asked to leave a comment, reply, or respond on GitHub.
$ install --global
skillsauthnpx skillsauth add MichaelVessia/nixos-config gh-commentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: May 4, 2026, 6:55 AM249.3s1 file scanned
SKILL.md
- name:
- gh-comment
- description:
- Comment on a GitHub PR or issue on Michael's behalf, clearly attributed as AI-generated. Use when asked to leave a comment, reply, or respond on GitHub.
- allowed-tools:
- Bash(gh pr comment:*), Bash(gh issue comment:*), Bash(gh pr view:*), Bash(gh issue view:*), Bash(gh api:*)
Your task
Leave comments on a GitHub PR or issue on Michael's behalf. Every comment must be clearly attributed as AI-generated.
Arguments
The user will provide:
- A PR/issue number or URL
- What they want the comment(s) to say
AI disclaimer
Always start every comment with this line, no exceptions:
> This comment was left by Michael's AI agent on his behalf.
Inline comments preferred
When commenting on a PR, always prefer inline reply comments over a single top-level comment. If the user's feedback addresses multiple files, lines, or existing review threads, post a separate inline reply to each relevant thread or location instead of lumping everything into one big comment.
- To list existing review comments on a PR:
gh api repos/{owner}/{repo}/pulls/{number}/comments - To reply to an existing review thread (use the
in_reply_tofield with the top-level review comment ID of that thread):gh api repos/{owner}/{repo}/pulls/{number}/comments -f body="..." -F in_reply_to=<comment_id> - To list top-level issue-style comments:
gh api repos/{owner}/{repo}/issues/{number}/comments - To reply to a top-level comment thread:
gh api repos/{owner}/{repo}/issues/{number}/comments -f body="..."
Fall back to a single top-level comment (gh pr comment / gh issue comment)
only when:
- The target is an issue (not a PR).
- There are no existing review threads to reply to.
- The user's message is a single general remark not tied to specific code.
Steps
- Determine whether the target is a PR or issue. If a number is given without
context, check
gh pr viewfirst, fall back togh issue view. - For PRs, fetch existing review comments to find threads to reply to.
- Match the user's feedback to the appropriate threads or locations.
- Post inline replies (each prefixed with the AI disclaimer) for each piece of feedback. Use a top-level comment only as a last resort.
- Output the URL(s) of the posted comment(s) or confirm they were posted.
You MUST do this in a single message. Do not ask follow-up questions.
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