s4h-linguistics-framing

s4h-linguistics-framing is a skill for Claude Code from human-avatar/skills-for-humanity. It costs 80 tokens per session (1,786 once invoked), scanned A, original, MIT.

A language-analysis tool that shows how the way an issue is described affects which choices and conclusions seem natural.

In plain words
What is it for?
Use it to examine political, business, or everyday discussions, identify what the current wording highlights or hides, and reframe the discussion.
Why use it?
It helps reveal hidden assumptions in familiar wording and find alternative ways to describe the same issue.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: names the AskUserQuestion tool.

Part of the skills-for-humanity plugin — 197 skills, 1 hook shipped together

Good fit Use it to examine political, business, or everyday discussions, identify what the current wording highlights or hides, and reframe the discussion.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/human-avatar/skills-for-humanity/s4h-linguistics-framing
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add human-avatar/skills-for-humanity --skill s4h-linguistics-framing
Clone the repo
git clone --depth 1 https://github.com/human-avatar/skills-for-humanity

Made for: Claude Code.

Or install skills-for-humanity, the plugin that ships this one along with the rest of its 197 skills, 1 hook.

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.

agentmods badge for s4h-linguistics-framing

README.md
[![agentmods](https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-linguistics-framing/github.svg)](https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-linguistics-framing)
Your own site
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-linguistics-framing"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-linguistics-framing/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.

agentmods 80×15 button for s4h-linguistics-framing

Your own site · 80×15
<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-linguistics-framing"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-linguistics-framing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 80 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,786 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00080 $0.01786
Opus 5 $0.00040 $0.00893
Sonnet 5 $0.00016 $0.00357
Haiku 4.5 $0.00008 $0.00179

Measured 9d ago against content hash 2ab7212a7eb0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

s4h-linguistics-framing 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 9d 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.

skills/s4h-linguistics-framing/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Linguistics: Framing

You cannot step outside a frame. But you can become aware of the one you are standing in — and then step into a different one.

George Lakoff's foundational insight was that frames are not neutral containers for facts. They are cognitive structures that activate associations, make certain conclusions feel obvious, and render others literally unthinkable. The word "tax relief" does not describe a tax reduction — it presupposes taxation is a burden requiring relief, which presupposes a reliever (government) and something to be relieved (the taxpayer). Accept the term and you have already accepted a world. The political right did not win the tax debate with better arguments; they won it with better frames.

Frames operate below the level of conscious reasoning. This is why factual correction often fails: presenting evidence against a frame frequently reinforces the frame by keeping its terms alive. The counter-move is not rebuttal but reframing — shifting the conceptual structure entirely, so the conclusions the original frame made "natural" no longer follow.

This skill surfaces the active frame in any situation, maps what it makes visible and invisible, and generates alternative frames that reveal different solution spaces.


Your Process

Step 1: Identify the Active Frame Read the description, document, or conversation carefully. Name the frame — what conceptual structure organizes this situation? Frames often reveal themselves through:

  • The metaphors in use (is education a "product"? is healthcare a "market"?)
  • The subject position (who is agent, who is acted-upon?)
  • The implicit problem definition (what is being treated as the thing to solve?)
  • The vocabulary cluster (which word choices presuppose the same set of assumptions?)

Framing check: Confirm the text and the framing situation before continuing. State what you've identified — the specific communication being analyzed and the frame you're examining — in one sentence, then use AskUserQuestion:

  • Question: "I'm reading this as: [your one-sentence framing of what you're analyzing and the active frame you've spotted]. Is that right?"
  • Header: "Framing"
  • Options:
    • Yes — proceed — framing is correct
    • Adjust — one element is off; user will correct it before you continue
    • Reframe — different situation than read; incorporate the correction before proceeding

Read the full file on GitHub · 142 lines

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.

  1. 9d ago First seen · 142 lines · 80 tokens per session scan A 2ab7212a7eb0

Subscribe to this mod's changes

s4h-linguistics-framing is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 80 tokens to every session and 1,786 once invoked, about $0.0004 per session on Opus 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 2026-09-03.

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