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nagisanzenin/effortmining

Benchmark-calibrated per-subagent reasoning effort for Claude Code. Classify the subtask, dispatch the cheapest tier a blind grader still accepts. Pilot-proven: -64.7% tokens vs effort inheritance at equal quality.

#AI agent#AI coding assistant
Visit GitHub
Python
32
3
2 contributors
MIT License
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Momentum

How fast nagisanzenin/effortmining is gaining stars, and where it lands on Trendshift and GitHub Trending

Activity and trending

Stars, forks and merged pull requests each day or month, lined up with the repository's rank on Trendshift Trending

Sep 26 – Nov 5, 2026

Stars +1 in 41 days

01
1

Forks +1 in 41 days

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1

Merged PRs 0 in 41 days

01

Trendshift Trendingwhere the repository ranked each day it made the top 25

Not in the Trendshift top 25 in this period

Sep 26Oct 2Oct 8Oct 14Oct 20Oct 26Nov 1
The left and right arrow keys step from day to day; Home and End go to the first and the last

Stars, forks, merged pull requests and Trendshift Trending rank, by day
DayStars gainedForks gainedMerged PRs
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Total+1+10
  • 1#1 on the list
  • 7Rank that day
  • Not trending

Social mentions

Recent discussions about this repository across the web
  1. Jul 81 post

    • 64.7% of your Claude Code subagent tokens are dead weight. Same pass rate without them. Here’s a plugin to fix that.

      Read full on Reddit

      r/claudeskills

  2. Jul 71 post

    • I ran ~450 benchmark runs on Claude Code's reasoning-effort levels. On most subagent tasks, max effort burned ~7x the tokens of low for zero quality gain — so I built a small open-source plugin that…

      Read full on Reddit

      r/claudeskills

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