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Implements GitHub or GitLab issues via parallel subagents with review gates between task batches.
Passed 17 of 21 test cases with the skill, and 11 of 21 without it.
and 4 more in the full report
7 fixed12 passed either way4 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
What exact CLI command is used to add a comment note to GitLab issue #77?
| Checked | Without skill | With skill |
|---|---|---|
| Uses glab issue note 77 --message to add the note. | Missed | Passed |
The instructions your model reads when the skill loads.
sanctum:pr-prep)Retrieves issue content from the detected git platform (GitHub, GitLab, or Bitbucket) and uses subagent-driven-development to systematically address requirements, executing tasks in parallel where dependencies allow.
Platform detection is automatic via the leyline:git-platform SessionStart hook. Check session context for git_platform: to determine which CLI to use.
| Phase | Description | Module |
|---|---|---|
| 1. Discovery | Parse input, fetch issues, extract requirements | issue-discovery |
| 2. Planning | Analyze dependencies, create task breakdown | task-planning |
| 3. Execution | Dispatch parallel subagents for independent tasks | parallel-execution |
| 4. Quality | Code review gates between task batches | quality-gates |
| 5-6. Completion | Sequential tasks, final review, issue updates | completion |
do-issue:discovery-completedo-issue:tasks-planneddo-issue:parallel-batch-completedo-issue:review-passeddo-issue:sequential-completedo-issue:issues-updatedtest cases passed, vs 11 / 21 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.