Leonxlnx / unlazy
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Write the acceptance ledger first. Execute reviewed checks. Reverify returned work. Report only what the evidence supports.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 4,341
- +73 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- JavaScript
- 100% of the code
Is it looked after?
- Contributors
- 10
- Last 90 days
- Issues
- 92% closed
- 1 still open
- Pull requests
- 16 merged
- 8 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- JavaScript 100%
Topics
- ai-agents
- claude
- claude-code
- llm
- productivity
- prompt-engineering
- skill
Project record
- JobOther AI tools
- StatusListed
- Commits49
- Forks341
- Watching13
- Stars in 28 days+438
- CreatedAug 9, 2026
- First seen by usNov 7, 2026
- CheckedNov 7, 2026