Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
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 labelled with the bench stamp it came from.
Install Honey Eco
$ npx skills add Green-PT/honey-for-devs --skill honey-eco -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Green-PT/honey-for-devs honey-eco --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/honey-eco .claude/skills/honey-eco && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "honey-eco" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-eco into .claude/skills/honey-eco/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-eco", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-ecoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Green-PT/honey-for-devs --skill honey-eco -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Green-PT/honey-for-devs honey-eco --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/honey-eco .agents/skills/honey-eco && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "honey-eco" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-eco into .agents/skills/honey-eco/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-eco", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Green-PT/honey-for-devs --skill honey-eco -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Green-PT/honey-for-devs honey-eco --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/honey-eco .cursor/skills/honey-eco && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "honey-eco" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-eco into .cursor/skills/honey-eco/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-eco", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Green-PT/honey-for-devs.git --path skills/honey-eco--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Green-PT/honey-for-devs --skill honey-eco -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Green-PT/honey-for-devs honey-eco --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/honey-eco .gemini/skills/honey-eco && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "honey-eco" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-eco into .gemini/skills/honey-eco/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-eco", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Green-PT/honey-for-devs honey-ecoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Green-PT/honey-for-devs --skill honey-eco -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/honey-eco .github/skills/honey-eco && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "honey-eco" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-eco into .github/skills/honey-eco/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-eco", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Green-PT/honey-for-devs --skill honey-eco -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Green-PT/honey-for-devs honey-eco --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Green-PT/honey-for-devs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/honey-eco .opencode/skills/honey-eco && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "honey-eco" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-eco into .opencode/skills/honey-eco/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-eco", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
honey-eco- GitHub stars
- 313
- Token cost
- ~608 tokens
- SKILL.md length
- 274 words
- Files
- 1
- Skills in repo
- 14
- Repo updated
- First seen
- Licence
- MIT
At a glance
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 labelled with the bench stamp it came from.
- Asked how much Honey saved
- SKILL.md covers Do, Two numbers, two epistemic…, Say once, don't bury and Boundaries
- Calls node, pip and python
- The sessions carbon/token footprint
What it does
Honey Eco is an agent skill from Green-PT/honey-for-devs. 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 labelled with the bench stamp it came from. Use when asked how much Honey saved, the session's carbon/token footprint, or to expand the 🍯 statusline badge into a full breakdown.
Its SKILL.md is about 610 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering. The repository describes itself as: Honey (I Shrunk the AI) by GreenPT: a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — write less code, less prose, and denser agent-to-agent… The licence is MIT.
When your agent uses it
- Asked how much Honey saved
- The sessions carbon/token footprint
- Expand the 🍯 statusline badge into a full breakdown
Example prompts
- “s output tokens and CO₂ by running the repo”
- “/honey-eco”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 9169fc5. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
nodepippython
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Honey Eco loads about 608 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 274 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Green-PT/honey-for-devs at commit 9169fc5, republished under its MIT licence (© Green-PT). 274 words, ~608 tokens.
Download SKILL.mdSave it as
.claude/skills/honey-eco/SKILL.md (or your agent's skills folder).- name
- honey-eco
- description
- 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 labelled with the bench stamp it came from. Use when asked how much Honey saved, the session's carbon/token footprint, or to expand the 🍯 statusline badge into a full breakdown.
- license
- MIT
Honey Eco
Surface the numbers the carbon badge is based on. Never estimate by hand — run the committed report so the figure matches hooks/eco.js (the verified EcoLogits v0.8.2 port) exactly.
Do
Run, from the repo root — zero-dependency, reuses the same hooks/eco.js the badge uses:
node scripts/eco-session.js # newest session
node scripts/eco-session.js --transcript PATH --mode fullThen report terse — output tokens, CO₂eq (g), and the saved line — in a line or two. Keep the exact numbers the script prints; don't round away precision.
Two numbers, two epistemic statuses — never merge them
- CO₂eq is measured for this session: real output tokens through the EcoLogits port.
savedis not. It is a modelled counterfactual — how many tokens a no-Honey run would have emitted — taken from a committed bench stamp. Always pass through thebasis:line the script prints (stamp, model, n, p). Never state a savings figure without it, and never re-derive one by hand.
When the script prints saved : —, no committed stamp covers this session's model. Say
that. Do not extrapolate from another model's ratio — that is exactly how a tool ends up
reporting savings while the invoice goes up.
For the authoritative breakdown (usage + embodied + primary energy) the user can run the Python path, which needs the real package:
pip install ecologits && python scripts/eco_report.pySay once, don't bury
The params are speculative (Anthropic discloses none). The badge shows served impact — EcoLogits' single-stream (batch-1) ceiling divided by serving_concurrency (continuous-batching amortization); eco-session.js/eco_report.py also print the raw ceiling. State that once, briefly, then give the number. The badge renders only in Claude Code (its transcript is all Claude models).
Boundaries
Report only — don't change config or mode (that's the /honey command). The number is a range, not a meter reading; present it as one.
© Green-PT, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/honey-eco of Green-PT/honey-for-devs.
Open the folder on GitHubat commit 9169fc5
Compare with similar skills
Honey Eco next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Honey Eco this skillGreen-PT/honey-for-devs | 313 | — | ~608 | Automated safety check: Pass | MIT | |
| Agent BuildershareAI-lab/learn-claude-code | 78k | 4 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Add Uint Supportpytorch/pytorch | 104k | 2 repos | ~2.3k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| 1passwordtrpc-group/trpc-agent-go | 1.9k | 14 repos | ~656 | Automated safety check: Pass | Apache-2.0 |
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Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
LLM Benchmarking with lm-evaluation-harness
Orchestra-Research/AI-Research-SKILLs
Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.
Segment Anything Model Guide
Orchestra-Research/AI-Research-SKILLs
Guide to using Meta's Segment Anything Model for zero-shot image segmentation with point, box or mask prompts, or automatic mask generation.
1password
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
Planning With Files
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Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
More from Green-PT/honey-for-devs
All 14 skills in this repoHoney
Green-PT/honey-for-devs
Write less code and say less about it. An agent skill from Green-PT/honey-for-devs.
Honey Ccr
Green-PT/honey-for-devs
Compress-Cache-Retrieve for huge, repetitive array tool output (logs, scan results, time series, event streams) before it enters context.
Honey Gain
Green-PT/honey-for-devs
Show Honey's benchmark scoreboard — the committed quality and token results per task tier (code, user-facing, agent-to-agent) from bench/.
Honey Px
Green-PT/honey-for-devs
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, vendored code, diffs, logs) costs ~60–75%…
Honey Superpowers
Green-PT/honey-for-devs
Stack Honey onto Superpowers-style workflows (subagent-driven-development, dispatching-parallel-agents, executing-plans) and any orchestration that dispatches fresh subagents.
Honey Debt
Green-PT/honey-for-devs
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 "later means never".
Related
Categories
Questions about Honey Eco
What does Honey Eco do?
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 labelled with the bench stamp it came from. Honey Eco is an agent skill from Green-PT/honey-for-devs. 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 labelled with the bench stamp it came from.
When should I use Honey Eco?
Honey Eco fits situations like: asked how much Honey saved; the sessions carbon/token footprint; expand the 🍯 statusline badge into a full breakdown.
How do I install Honey Eco in Claude Code?
Run `npx skills add Green-PT/honey-for-devs --skill honey-eco -a claude-code`. Or copy the skill folder (skills/honey-eco in Green-PT/honey-for-devs) into .claude/skills/honey-eco in your project. Claude Code loads it when a task matches its description.
How do I install Honey Eco in Codex?
Run `npx skills add Green-PT/honey-for-devs --skill honey-eco -a codex`. Or copy the skill folder (skills/honey-eco in Green-PT/honey-for-devs) into .agents/skills/honey-eco in your project. Codex loads it when a task matches its description.
Can I use Honey Eco in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Green-PT/honey-for-devs --skill honey-eco -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/honey-eco, .gemini/skills/honey-eco, .github/skills/honey-eco and .opencode/skills/honey-eco in your project.
What does Honey Eco need to run?
Going by SKILL.md and its folder, Honey Eco needs the command-line tools its instructions call (node, pip and python). Our summary lists: Python 3.
Does Honey Eco access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Honey Eco safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Honey Eco use?
Honey Eco is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Honey Eco use?
About 608 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Honey Eco?
Skills that share tags, products or a category with Honey Eco: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Honey Eco?
Green-PT (a GitHub organization) maintains it in Green-PT/honey-for-devs, which has 313 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 7, 2026.
Source: Green-PT/honey-for-devs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.