by ZhangHanDong · Agent Tool · ★ 61
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Agent Work Estimation Skill An Agent Skill that fixes how AI coding agents estimate task duration. Instead of anchoring to human developer timelines ("this would take 2-3 days"), the agent estimates from its own operational units — tool-call rounds — and converts to wallclock time only at the end. The 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. The Solution This skill forces the agent to think in rounds (one tool-call cycle: think → write code → execute → verify → fix), estimate round counts per module, apply risk coefficients, and only convert to human wallclock time at the very end. Installation Using (Recommended) The skills CLI is the standard package manager for the open agent skills ecosystem. It works with Claude Code, Cursor, Codex CLI, and 35+ other agents.
| Stars | 61 |
| Forks | 1 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 68.9384511685338/100 |
| Last Updated | 2026-03-02 |
| Created | 2026-02-15 |
| Est. Tokens | ~1k |
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agent-estimation is Ready to estimate AI agent work effort using tool-call rounds as the base unit instead of human time anchoring.. It is categorized as a Agent Tool with 61 GitHub stars.
You can find installation instructions and usage details in the agent-estimation GitHub repository at github.com/ZhangHanDong/agent-estimation. The project has 61 stars and 1 forks, indicating an active community.
agent-estimation is released under the MIT license, making it free to use and modify according to the license terms.