Agent Builder
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
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%…
$ npx skills add Green-PT/honey-for-devs --skill honey-px -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Green-PT/honey-for-devs honey-px --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-px .claude/skills/honey-px && 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-px" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-px into .claude/skills/honey-px/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-px", 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-pxType 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-px -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Green-PT/honey-for-devs honey-px --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-px .agents/skills/honey-px && 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-px" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-px into .agents/skills/honey-px/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-px", 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-px -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Green-PT/honey-for-devs honey-px --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-px .cursor/skills/honey-px && 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-px" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-px into .cursor/skills/honey-px/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-px", 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-px--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-px -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Green-PT/honey-for-devs honey-px --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-px .gemini/skills/honey-px && 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-px" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-px into .gemini/skills/honey-px/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-px", 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-pxInstalls 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-px -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-px .github/skills/honey-px && 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-px" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-px into .github/skills/honey-px/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-px", 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-px -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-px --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-px .opencode/skills/honey-px && 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-px" agent skill from https://github.com/Green-PT/honey-for-devs/tree/main/skills/honey-px into .opencode/skills/honey-px/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "honey-px", 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.
honey-pxRead 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 Px is an agent skill from 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% less as an image. Use when you must skim or reason over thousands of lines you will NOT edit or byte-copy. Lossy on exact strings: never for files you'll Edit, secrets, hashes, or byte-exact values. Fable-class readers only.
Its SKILL.md is about 700 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.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 9169fc5. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Honey Px loads about 701 tokens when it runs. Until then it costs about 108 tokens; SKILL.md has 333 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.
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.
The full file from Green-PT/honey-for-devs at commit 9169fc5, republished under its MIT licence (© Green-PT). 333 words, ~701 tokens.
.claude/skills/honey-px/SKILL.md (or your agent's skills folder).An image's token cost is fixed by its pixel area, not its character count.
Dense text packs ~3 chars per image-token vs ~1 as text, so a 90k-char file
read as PNG pages costs a fraction of the text read. pxpipe export
(teamchong/pxpipe) does the rendering; the agent Reads the pages.
Lossy by design — misreads of exact strings are silent confabulations,
not errors. The export writes a factsheet.txt carrying the verbatim
precision tokens (paths, SHAs, ids, numbers) as text alongside the images;
always read it too.
% saved, skip if it's low. Sparse prose loses money.old_string must be byte-exact; imaged reads
aren't. Read the real file (with offset/limit) before any edit.Grep the source first.npx pxpipe-proxy export --json --out <scratchpad> <file-or-dir> # or --git / --diff <ref> / --stdinOutput dir pxpipe-export-<hash>/ contains page-*.png, factsheet.txt,
manifest.json (token report). Then:
Read every page-*.png and factsheet.txt. If instead you pass the
renders to a model over the raw API (subagent prompt, panel), include the
export's prompt.txt banner — naked dense renders can trip
stop_reason: refusal on Fable-class models; the banner prevents it.percentSaved as the go/no-go — if it printed low,
read the text instead.Grep.Cheaper still is not reading at all — Grep/offset/limit (Lever 3b) and
eson crush (CCR) come first. PX is for when you genuinely need the whole
bulk in view.
© 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
Just SKILL.md in skills/honey-px of Green-PT/honey-for-devs.
Open the folder on GitHubat commit 9169fc5
Honey Px 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 Px this skillGreen-PT/honey-for-devs | 313 | — | ~701 | 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 |
shareAI-lab/learn-claude-code
Design and build AI agents for any domain. An agent skill from shareAI-lab/learn-claude-code.
pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating ATDISPATCH macros.
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.
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.
trpc-group/trpc-agent-go
Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.
jarrodwatts/claude-code-config
Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage.
Green-PT/honey-for-devs
Write less code and say less about it. An agent skill from Green-PT/honey-for-devs.
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.
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.
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/.
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.
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".
Categories
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 Px is an agent skill from 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% less as an image.
Honey Px fits situations like: reason over thousands of lines you will NOT edit.
Run `npx skills add Green-PT/honey-for-devs --skill honey-px -a claude-code`. Or copy the skill folder (skills/honey-px in Green-PT/honey-for-devs) into .claude/skills/honey-px in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Green-PT/honey-for-devs --skill honey-px -a codex`. Or copy the skill folder (skills/honey-px in Green-PT/honey-for-devs) into .agents/skills/honey-px in your project. Codex loads it when a task matches its description.
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-px -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-px, .gemini/skills/honey-px, .github/skills/honey-px and .opencode/skills/honey-px in your project.
Going by SKILL.md and its folder, Honey Px needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Honey Px is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 701 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Honey Px: 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.
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.