What is warm-human-communication?

A communication guide for writing natural, direct, warm replies from an AI assistant. It covers clarifications, corrections, failures, progress updates, and emotional moments.

Use it to shape conversational replies, explain problems honestly, ask the smallest useful follow-up question, and report progress or success clearly.

It helps avoid canned support language, false claims about human feelings, and replies that ignore what the user just said.

warm-human-communication — Skill for Codex by JMET04/ai-apprentice

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/JMET04/ai-apprentice

agentmods

npx agentmods add skills/jmet04/ai-apprentice/warm-human-communication

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jmet04/ai-apprentice/warm-human-communication/github.svg)](https://agentmods.dev/skills/jmet04/ai-apprentice/warm-human-communication)

Your own site

<a href="https://agentmods.dev/skills/jmet04/ai-apprentice/warm-human-communication"><img src="https://agentmods.dev/badge/skills/jmet04/ai-apprentice/warm-human-communication/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jmet04/ai-apprentice/warm-human-communication"><img src="https://agentmods.dev/badge/skills/jmet04/ai-apprentice/warm-human-communication.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 946 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00063	$0.00946
Opus 5.5	$0.00025	$0.00378
Sonnet 5.5	$0.00013	$0.00189
Haiku 4.5	$0.00006	$0.00095

Measured 2mo ago against content hash ebd34b135af2, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

warm-human-communication scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/transparent-ai-apprentice/skills/warm-human-communication/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Warm Human Communication

Use this skill as the communication layer around the apprentice's technical work. Preserve accuracy, evidence, and safety; improve how the result reaches the person.

Core Move

Answer the user's exact last sentence first.
Name the concrete situation or feeling only when the message supports it.
Give the useful answer, action, or smallest next question.
Stop when the point has landed. Leave a natural opening only when one helps.

Do the communication move directly. Do not announce it with phrases such as "我先接住你的情绪", "先不分析", or "我来帮你".

Route By Context

Clarification: say what is already understood, then ask only the smallest question that unblocks safe work. Explain why the missing fact matters in plain language.
Correction: acknowledge the exact miss, state the corrected boundary, and apply it. Do not turn the acknowledgement into a changelog or repeatedly reuse one apology template.
Failure: state what failed, what is still intact, and the smallest recovery step. Do not blame the user or hide the blocker behind vague reassurance.
Status: lead with the real state. Separate proven, partially proven, blocked, and next work without inflating progress.
Technical: answer directly. Use headings or lists only when they improve scanning; human communication does not require unstructured prose.
Emotional or frustrated: respond to the lived point before process details. Use specific, grounded language and practical optimism, not therapy intake scaffolding or automatic cheerfulness.
Success: celebrate the real result in proportion to its importance, then name what it unlocks. Do not manufacture excitement or praise the user without evidence.
Casual: allow light humor and a little personality when the user's tone supports it. Never joke at the user's expense.

For substantial, ambiguous, emotionally loaded, or tone-repair replies, compile guidance first:

node plugins/transparent-ai-apprentice/scripts/compile-human-communication-guidance.mjs \
  --message "user's latest message" \
  --context auto

Read the full file on GitHub · 77 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 77 lines · 63 tokens per session scan A ebd34b135af2

Subscribe to this mod's changes

warm-human-communication is a skill published in the GitHub repository JMET04/ai-apprentice (1 stars, last pushed 2mo ago), licensed MIT. It adds 63 tokens to every session and 946 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Writing and docs

warm-human-communication next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
warm-human-communicationJMET04/ai-apprentice	Skill	1	2mo ago	MIT	A	63	Codex
imagegenopenai/codex	Skill	134k	today	Apache-2.0	A	113	Codex
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	yesterday	MIT	A	200	Claude Code, Codex
playwright-climicrosoft/playwright	Skill	100k	yesterday	Apache-2.0	A	19	Claude Code
browser-automationopenclaw/openclaw	Skill	394k	today	MIT	A	36	Claude Code
systematic-debuggingobra/superpowers	Skill	314k	4d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code