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effortmining

v0.5.3

Calibrated per-subagent reasoning effort: classify each subtask, dispatch it to the cheapest tier that still passes.

Claude Code2 Skills

By nagisanzenin31 GitHub starsUpdated 3 months ago

Directory evidence

Runtimes
Claude Code
Parsed components
2 skill or MCP entries
Source updated
Jul 10, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install effortmining for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install effortmining@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/nagisanzenin/effortmining

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The repository root is the plugin root.

Plugin files

effortmining/
├── .claude-plugin/plugin.json
├── skills/effort-bench/SKILL.md
└── skills/effortmine/SKILL.md

Included Skills2

effort-benchskills/effort-bench/SKILL.md

Drive the effortmining A/B benchmark harness, the deterministic Python core (bench/effort.py) that measures pass-rate and token cost per (task-class, effort-tier) and fits the calibration table the effortmine skill dispatches from. Use to validate the instrument, run the matrix, grade, analyze, report, or refit. This skill shells out to the harness; it does not compute results itself.

effortmineskills/effortmine/SKILL.md

Decompose a request into subtasks, classify each by difficulty (T1 mechanical through T4 hard reasoning, plus R-research and C-coding), and dispatch each to the cheapest calibrated reasoning-effort tier a blind grader still accepts. Use when you want a multi-part job done at the right effort per part instead of burning one uniform (usually too-high) effort on everything. The per-subtask effort is applied by dispatching to a tier-pinned worker agent (miner-low through miner-max), because Claude Code has no per-spawn effort parameter.

Plugin manifests1

.claude-plugin/plugin.json
{
  "name": "effortmining",
  "version": "0.5.3",
  "description": "Calibrated per-subagent reasoning effort: classify each subtask, dispatch it to the cheapest tier that still passes.",
  "author": {
    "name": "nagisanzenin"
  },
  "homepage": "https://github.com/nagisanzenin/effortmining",
  "keywords": [
    "reasoning-effort",
    "effort",
    "subagents",
    "calibration",
    "orchestration",
    "cost-optimization",
    "benchmark",
    "claude-code"
  ]
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[effortmining on Agent Plugins Marketplace](https://pluginsmp.com/plugins/effortmining)