honey-gain
Show Honey's benchmark scoreboard — the committed quality and token results per task tier (code, user-facing, agent-to-agent) from bench/.
Skill by sudo-tiz
Chalk Labs
Need help deploying honey-gain?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sudo-tiz-honey-gain
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: productivity, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/honey-gain
What's inside
- Skill name
honey-gain- Description
- Show Honey's benchmark scoreboard — the committed quality and token results per task tier (code, user-facing, agent-to-agent) from bench/. Reports only the reproducible committed figures, never invents per-repo numbers. Use when asked how much Honey saves, how it compares to Caveman / Ponytail / no-skill baseline, or for the headline numbers.
- License
- MIT
- Instructions
- 40 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# 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).
From sudo-tiz/opencode, MIT.
More from sudo-tiz/opencode
- 0.565score
honey-compress
sudo-tiz
Rewrite a memory or context file (CLAUDE.md, AGENTS.md, a todo or notes file) into Honey-terse form so it costs fewer input tokens every session, without…
SkillAFreshness: AClaude Code +9 - 0.565score
honey-hive
sudo-tiz
Decide when to delegate to Honey's read-only subagents (hive-scout, hive-reviewer) instead of working inline, so the expensive tokens — large file reads and…
SkillAFreshness: AClaude Code +9 - 0.565score
honey
sudo-tiz
Write less code and say less about it.
SkillAFreshness: AClaude Code +9 - 0.565score
honey-ccr
sudo-tiz
Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context.
SkillAFreshness: AClaude Code +9 - 0.565score
honey-chat
sudo-tiz
Honey for plain Claude — the terse-prose core with no agent-harness features.
SkillAFreshness: AClaude Code +9 - 0.565score
honey-debt
sudo-tiz
Harvest every `honey:` comment in the codebase into a debt ledger, so the deliberate shortcuts Lever 1 leaves behind get tracked instead of rotting into…
SkillAFreshness: AClaude Code +9 - 0.565score
honey-design
sudo-tiz
Same pixels, fewer tokens — for user-facing deliverables where visual polish is the spec.
SkillAFreshness: AClaude Code +9 - 0.565score
honey-eco
sudo-tiz
Report this session's output tokens and CO₂ by running the repo's committed EcoLogits port, plus the modelled CO₂/$ saved vs a no-Honey baseline — always…
SkillAFreshness: AClaude Code +9 - 0.565score
honey-loop
sudo-tiz
Cost discipline for recurring /loop runs.
SkillAFreshness: AClaude Code +9 - 0.565score
honey-memory
sudo-tiz
Create and maintain one committed per-project memory file (PROJECT.md) so agents stop re-discovering the same facts every cold session.
SkillAFreshness: AClaude Code +9 - 0.565score
honey-px
sudo-tiz
Read huge, dense, read-only text as rendered PNG pages instead of raw text — image tokens scale with pixels, not characters, so token-dense bulk (big files…
SkillAFreshness: AClaude Code +9 - 0.565score
honey-review
sudo-tiz
Review a diff for what Honey would cut — over-engineering (speculative generality, hand-rolled stdlib, single-caller abstractions) and over-verbosity (dead…
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 26, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/sudo-tiz/opencode
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from sudo-tiz
- 0.565score
honey-hive
sudo-tiz
Decide when to delegate to Honey's read-only subagents (hive-scout, hive-reviewer) instead of working inline, so the expensive tokens — large file reads and…
SkillAFreshness: AClaude Code +9 - 0.565score
honey
sudo-tiz
Write less code and say less about it.
SkillAFreshness: AClaude Code +9 - 0.565score
honey-ccr
sudo-tiz
Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context.
SkillAFreshness: AClaude Code +9 - 0.565score
honey-chat
sudo-tiz
Honey for plain Claude — the terse-prose core with no agent-harness features.
SkillAFreshness: AClaude Code +9 - 0.565score
honey-debt
sudo-tiz
Harvest every `honey:` comment in the codebase into a debt ledger, so the deliberate shortcuts Lever 1 leaves behind get tracked instead of rotting into…
SkillAFreshness: AClaude Code +9 - 0.565score
honey-compress
sudo-tiz
Rewrite a memory or context file (CLAUDE.md, AGENTS.md, a todo or notes file) into Honey-terse form so it costs fewer input tokens every session, without…
SkillAFreshness: AClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
Get honey-gain running in your business
Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.
Cite this page
honey-gain skill. Agent Mart. https://agentmart.dev/skills/sudo-tiz-honey-gain (last updated 2026-10-24)