Calibrated per-subagent reasoning effort: classify each subtask, dispatch it to the cheapest tier that still passes.
32 on GitHubby nagisanzeninv0.5.3MITupdated 4 months ago
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Plugin effortmining from marketplace effortmining in nagisanzenin/effortmining. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
What it installs
Skills (2)
effort-bench
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, repo
effortmine
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 par
Subagents (6)
effort-grader
Blind grader for effortmining. Grades one artifact against a task prompt and a fixed rubric ONLY. The input payload deliberately carries no field naming the tier, agent, or model that produced the artifact, so the grade cannot be biased by effort level. Skeptic-first, rounds scores down, emits stric
miner-high
Delegate worker pinned to HIGH reasoning effort, the Opus 4.8 model default. Pick for diagnosis, multi-constraint logic, or tracing where the work is figuring out what and the answer is short. Pilot v1 (2026-07-06) calibrates this tier for T3-moderate-reasoning — the class with the real quality grad
miner-low
Delegate worker pinned to LOW reasoning effort, the cheapest tier. Pick for mechanical retrieval, extraction, and reformatting with an explicit output template and no reasoning required. Fitted table (v1+v2, 2026-07-07) calibrates this tier for T1-mechanical, T2-simple-transform, and — with fit-blin
miner-max
Delegate worker pinned to MAX reasoning effort, the most expensive tier and session-only. Pilot v1 (2026-07-06) calibrates no class to this tier and found saturation at max in all four classes — it never improved quality over xhigh and only cost more (no strict regression observed). Reserve it for w
miner-medium
Delegate worker pinned to MEDIUM reasoning effort. Calibrated for C-coding since the 2026-07-07 refit (the C6 invariant task breaks low; medium sits at the quality ceiling at ~1/7th of max's tokens).
miner-xhigh
Delegate worker pinned to XHIGH reasoning effort. Pick for hard, multi-step reasoning with adversarial or overfit-punishing edge cases such as combinatorial counting, constrained ordering, or ledger-style state. Pilot v1 (2026-07-06) calibrates no class to this tier — its T4-hard-reasoning tasks wer
Official Convex plugin for Claude Code with bundled Convex skills, the convex-expert subagent for code-writing, a runtime-error monitor, and MCP access for backend development, schema design, real-time features, auth, file storage, scheduled jobs, and AI agents.
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub-init, /agenthub:spawn, /hub-status, /agenthub:eval, /agenthub:merge, /agenthub:board, /hub-run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.
Reviews product launches against your risk calibration, answers 'is this a problem?' questions in minutes, checks marketing copy for claims that need substantiation, and flags upcoming launches that need legal eyes before anyone asks.
Triages a repository's open GitHub issues and pull requests via the gh CLI: optionally merges ready bot and maintainer-approved PRs and spawns review subagents for unreviewed ones, closes already-resolved issues with referenced explanations, cross-links issues with pending fix PRs, and assigns local-only priority and change-size estimates.
1 skill
trailofbits/skills 8,166
Maintain effortmining?
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