Ross ROSS = Recommend OSS · open-source software intelligence for agents

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. observed · 2026-08-28

github.com/Leonxlnx/unlazy · JavaScript · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

57/100

  • Activity 99
  • Release rhythm 35
  • Longevity 1

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 24
  • days_rel: n/a
  • days_push: 9
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2545 stars · 144 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

unlazy is a skill for AI coding agents (Claude Code, Codex CLI) that enforces completion discipline via the Depth Tree method, splitting tasks into layers with full time budgets per leaf. It includes a Node-based gate checker that runs and reverifies acceptance checks recorded in a GATES.md ledger.

Use cases

  • stop ai agents from finishing tasks prematurely
  • force thorough multi-layer task decomposition for llm agents
  • verify ai-generated code against runnable acceptance gates
  • reduce underthinking and laziness in claude code workflows
  • reverify completed work with automated checks
  • install a discipline skill for ai coding assistants

When to choose

  • you use Claude Code or Codex CLI and agents cut corners on substantial tasks
  • you want evidence-backed, re-runnable acceptance checks for agent work
  • you need structured task decomposition with per-leaf effort budgets

When to avoid

  • you need a general-purpose agent framework rather than a discipline skill
  • your workflow has no shell execution capability for gate checks
  • you want a plug-and-play solution without reviewing shell commands in gate ledgers

Facets

plugin · maturity active

agent-framework prompt-engineering cli testing workflow-automation large-language-models developer-tools cli cross-platform claude-code claude-skills ai-agent-discipline depth-tree task-decomposition verification-gates anti-laziness skill ai-agents automation nodejs

1 source

Member repositories

RepositoryRoleHealth v2
Leonxlnx/unlazymain57

For agents

markdown · JSON · MCP: product_card(name="Leonxlnx/unlazy")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem