Agent skill

Honey Chat

by Green-PT in Green-PT/honey-for-devs

Honey for plain Claude — the terse-prose core with no agent-harness features.

MITAuto-check passedAI & LLM Engineering

Install Honey Chat

skills CLI
$ npx skills add Green-PT/honey-for-devs --skill honey-chat -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Green-PT/honey-for-devs honey-chat --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-chat .claude/skills/honey-chat && rm -rf skills-src

Use ~/.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/

Facts

Skill name
honey-chat
GitHub stars
313
Token cost
~553 tokens
SKILL.md length
276 words
Files
2
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Honey for plain Claude — the terse-prose core with no agent-harness features.

  • Tasks that involve Prompt engineering
  • SKILL.md covers Depth — match the question, Cut, Never cut and If asked for code
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Honey Chat is an agent skill from Green-PT/honey-for-devs. Honey for plain Claude — the terse-prose core with no agent-harness features. Paste into a claude.ai Project's custom instructions, a Style, or an API system prompt. Strips filler, hedging, and pleasantries from every response while keeping facts, names, numbers, steps, and code exact. No tools required.

Its SKILL.md is about 550 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `COMPACT.md`).

It sits in AI & LLM Engineering, covering Prompt 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

  • Tasks that involve Prompt engineering

Example prompts

  • “/honey-chat”

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

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    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 Chat loads about 553 tokens when it runs. Until then it costs about 79 tokens; SKILL.md has 276 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~79
When it runs · the whole SKILL.md, loaded when a task matches
~553

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). 276 words, ~553 tokens.

Download SKILL.mdSave it as .claude/skills/honey-chat/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
honey-chat
description
Honey for plain Claude — the terse-prose core with no agent-harness features. Paste into a claude.ai Project's custom instructions, a Style, or an API system prompt. Strips filler, hedging, and pleasantries from every response while keeping facts, names, numbers, steps, and code exact. No tools required.
license
MIT

Honey (chat edition)

Volume is cost. Say the fewest words that stay clear — in every response, even when the user doesn't ask for brevity. Apply reflexively; never spend reasoning on how to comply.

Depth — match the question

  • Explain / how / why / should I → keep the explanation; it is the answer.
  • Do / write / fix / make (or unsure) → terse; fragments over paragraphs.
  • Just / quick / one-liner → answer only, plus one line for the main caveat.

Step up, never down, when brevity would cost correctness — a subtle risk, a tradeoff, a learner who needs the why. An answer that forces a follow-up question saved nothing.

Cut

  • Wind-up and wind-down: no "Great question!", no "hope this helps!", no restating the prompt, no announcing what you're about to do.
  • Hedging: "use X", not "you might consider perhaps X". State real uncertainty once, briefly.
  • Padding structure: no headers/sections for a one-fact answer; lists only when they're faster to read than prose.

Never cut

  • Names, numbers, dates, commands, steps, quotes — exact, complete.
  • Anything the user will copy, paste, or act on.
  • Warnings, risks, and safety-relevant caveats — health, money, legal, irreversible actions stay explicit.
  • Anything the user explicitly asked for.

If compression makes the reader work to recover the meaning, stop — that moves cost, it doesn't remove it.

If asked for code

Minimum that solves it: standard library and language idioms before custom helpers; no speculative options or "might need later" branches. Code blocks verbatim and runnable — never ...-elided. Keep input validation and error handling that prevents data loss; one line on the main edge case.

Pin intensity by adding one line here: "Default to honey ultra" (max savings) or "Default to honey lite" (keep explanations).

© 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

SKILL.md and 1 other file in skills/honey-chat of Green-PT/honey-for-devs.

  • SKILL.md
  • COMPACT.md

Open the folder on GitHubat commit 9169fc5

Compare with similar skills

Honey Chat 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.

Honey Chat compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Honey Chat this skillGreen-PT/honey-for-devs313—~553Automated safety check: PassMIT
Prompt Improverseverity1/claude-code-prompt-improver1.9k1 repos~1.7kAutomated safety check: PassMIT
Prompt Engineering Patternsynulihao/AgentSkillOS61814 repos~1.7kAutomated safety check: PassNone
Patch CreationPiebald-AI/tweakcc2.5k—~1.6kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2603 repos~1.4kAutomated safety check: PassCustom licence
Codex Fable5baskduf/FableCodex437—~1.6kAutomated safety check: PassAGPL-3.0

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  • Prompt Improver

    severity1/claude-code-prompt-improver

    This skill enriches vague prompts with targeted research and clarification before execution.

    1.9k GitHub starsUsed in 1 repo~1.7k tokens
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  • Prompt Engineering Patterns

    ynulihao/AgentSkillOS

    Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.

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    2.5k GitHub stars~1.6k tokensUpdated today
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  • Senior Prompt Engineer

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More from Green-PT/honey-for-devs

All 14 skills in this repo
  • Honey

    Green-PT/honey-for-devs

    Write less code and say less about it. An agent skill from Green-PT/honey-for-devs.

    313 GitHub stars~3.5k tokensUpdated 1 mo ago
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  • 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.

    313 GitHub stars~674 tokensUpdated 1 mo ago
    Auto-check passed
  • Honey Eco

    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.

    313 GitHub stars~608 tokensUpdated 1 mo ago
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  • 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/.

    313 GitHub stars~661 tokensUpdated 1 mo ago
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  • 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%…

    313 GitHub stars~701 tokensUpdated 1 mo ago
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  • 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.

    313 GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed

Questions about Honey Chat

What does Honey Chat do?

Honey for plain Claude — the terse-prose core with no agent-harness features. Honey Chat is an agent skill from Green-PT/honey-for-devs. Honey for plain Claude — the terse-prose core with no agent-harness features.

When should I use Honey Chat?

Honey Chat fits situations like: tasks that involve Prompt engineering.

How do I install Honey Chat in Claude Code?

Run `npx skills add Green-PT/honey-for-devs --skill honey-chat -a claude-code`. Or copy the skill folder (skills/honey-chat in Green-PT/honey-for-devs) into .claude/skills/honey-chat in your project. Claude Code loads it when a task matches its description.

How do I install Honey Chat in Codex?

Run `npx skills add Green-PT/honey-for-devs --skill honey-chat -a codex`. Or copy the skill folder (skills/honey-chat in Green-PT/honey-for-devs) into .agents/skills/honey-chat in your project. Codex loads it when a task matches its description.

Can I use Honey Chat 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-chat -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-chat, .gemini/skills/honey-chat, .github/skills/honey-chat and .opencode/skills/honey-chat in your project.

What does Honey Chat need to run?

SKILL.md names no scripts, command-line tools or credentials: Honey Chat is instructions for the agent only.

Does Honey Chat access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Honey Chat 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 Chat use?

Honey Chat 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 Chat use?

About 553 tokens (SKILL.md is roughly 2.2k 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 Chat?

Skills that share tags, products or a category with Honey Chat: Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Prompt Engineering Patterns (ynulihao/AgentSkillOS, 618 stars), Patch Creation (Piebald-AI/tweakcc, 2.5k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Honey Chat?

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.