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Agent-estimate

v0.1.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

ai-agents claude-code cli developer-tools effort-estimation estimation
+5 more
metr multi-agent pert python wave-planning

Summary

AI summary

Core adds PERT estimation engine and wave planner, CLI introduces estimate, calibrate, and modifier flags, Integrations add GitHub adapter and Claude Code plugin.

Full changelog

v0.1.0 — First feature-complete release

Core

  • PERT three-point estimation engine with task classification (XS–XL)
  • Modifier stack: spec clarity, warm context, agent fit
  • METR per-model p80 reliability threshold warnings
  • Wave planner with DAG validation, topological sort, and LPT bin packing
  • Self-calibration via SQLite observation store

CLI

  • estimate — single task, file input (--file), or GitHub issues (--issues)
  • calibrate — compare estimates against actuals
  • validate — check observation YAML files
  • Modifier flags: --spec-clarity, --warm-context, --agent-fit
  • Auto warm-context detection from dispatch history (--history-file)
  • Output formats: markdown (default) and JSON (--format json)
  • Review mode selection: --review-mode none|self|2x-lgtm

Integrations

  • GitHub adapter via gh CLI for issue fetching
  • Claude Code plugin structure (.claude-plugin/plugin.json)
  • /estimate skill wrapper for Claude Code

Quality

  • 323 tests (unit + integration), CI on Python 3.10–3.12
  • Ruff linting
  • PyPI-ready packaging via hatchling

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Beta — feedback welcome: [email protected]