agent-estimation

Installation
SKILL.md

Agent Work Estimation Skill

Problem

AI coding agents systematically overestimate task duration because they anchor to human developer timelines absorbed from training data. A task an agent can complete in 30 minutes gets estimated as "2-3 days" because that's what a human developer forum post would say.

Solution

Force the agent to estimate from its own operational units — tool-call rounds — and only convert to human wallclock time at the very end.

Core Units

Unit Definition Scale
Round One tool-call cycle: think → write code → execute → verify → fix ~2-4 min wallclock
Module A functional unit built from multiple rounds until usable 2-15 rounds
Project All modules + integration + debugging Sum of modules × integration factor
Installs
3
Repository
openclaw/skills
GitHub Stars
4.5K
First Seen
Mar 4, 2026
agent-estimation — openclaw/skills