Cli review
mission control for agent skills
npx -y skills add alvinunreal/lazyskills --skill cli-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Runs a Greptile CLI review for the current local branch, installing or authenticating the CLI when needed, then summarizes JSON findings for the user. Use when the user wants Greptile feedback before opening a PR, outside a hosted PR review flow, or directly from a local checkout.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
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CLI Review
Run a Greptile review from the local checkout and summarize the findings.
Instructions
1. Confirm repository context
Start from the current repository root:
git rev-parse --show-toplevel
If the command fails, tell the user that the Greptile CLI review must be run from a git repository.
2. Check for the Greptile CLI
Check whether greptile is installed:
command -v greptile
If it is missing, do not install it automatically. Ask the user for permission, then show the recommended install command:
npm i -g greptile
If npm is unavailable, offer the shell installer fallback:
curl -fsSL "https://greptile.com/cli/install" | sh
After installation, re-run command -v greptile.
3. Ensure authentication
Check the signed-in account:
greptile whoami
If the CLI reports that authentication is missing, run:
greptile login
Wait for the user to complete the login flow before continuing.
4. Run the review
Prefer JSON output:
greptile review --json
If JSON output is unsupported or fails with a usage error, fall back to:
greptile review --agent
Do not hide the raw command failure if both commands fail. Summarize the failing command and the next action the user needs to take.
5. Summarize results
Parse JSON output when available and report:
- Review status
- Number of findings
- Highest severity findings first
- Files that need edits
- Suggested next command or fix path
When output is plain text, preserve the same structure as much as possible. Keep the summary concise and focused on actionable findings.