Show Honey's benchmark scoreboard: committed quality and token results per task tier vs Caveman, Ponytail, and no-skill. One-shot.
Scanned 9/3/2026
Install to Claude Code
npx -y skills add Green-PT/honey-for-devs --skill honey-gain --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: honey-gain
description: "Show Honey's benchmark scoreboard: committed quality and token results per task tier vs Caveman, Ponytail, and no-skill. One-shot."
homepage: https://github.com/Green-PT/honey-for-devs
license: MIT
---
# Honey Gain
Report the **committed** benchmark results — never a guessed or per-session number, and never an embedded copy that can drift from the bench.
## Do
1. Recompute from the committed records at use time — don't recite from memory, and
prefer the raw records over any rendered table (renderings go stale, the records don't):
```bash
cd bench && node src/report.js --stamp full-opus48 --by-type
```
Offline, no API spend. Swap `--stamp full-gpt55` for the cross-provider figure, drop
`--by-type` for the whole suite. Hive handoff numbers → [`bench/hive/RESULTS.md`](../../bench/hive/RESULTS.md).
2. Report the tier table terse: **Δ LOC and Δ output, each with its `p`**, judge as
win/loss/tie, and the test pass-rate, per variant. The tier split *is* the finding —
deepest on code and handoffs, output a statistical tie on user-facing (the polish
carve-out). Lead with **Δ LOC**: it measures Lever 1 directly, while output tokens mix
code with the prose around it, and the two come apart (Ponytail cuts lines but narrates
at length).
## Rules
- **Never quote a delta without its p-value**, and call `(ns)` results ties, not wins.
Every figure is a paired per-task median; a ratio of arm totals is not quotable.
- Prose renderings ([`bench/README.md`](../../bench/README.md#results), `results/combined.md`)
are secondary. If one disagrees with a fresh `--stamp` recompute, the recompute wins —
say the rendering is out of sync.
- Quality is a **tie**, not a gain — that's the honest claim. Don't upgrade it.
- Cost/CO₂ savings are a *modelled counterfactual*, not measured; those belong to
`honey-eco`, which labels them. Don't state a dollar saving here.
- Asked for numbers on **this** repo? The bench measures the skill on a fixed task suite,
not the user's codebase — offer `cd bench && npm run bench`, don't extrapolate.
- One honest caveat, once: 23 author-written tasks, judge noise — the objective test-pass
column is the trustworthy correctness signal.
- Never resurrect the old unreproducible `92%/78%/73%` / `−57%/−65%/−70%` numbers, or the
superseded arm-total figures (`−49%` code, `−15%` aggregate) — see [`bench/METHODOLOGY.md`](../../bench/METHODOLOGY.md).
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