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.
npx skills add team-attention/plugins-for-claude-natives --skill metamediumgit clone --depth 1 https://github.com/team-attention/plugins-for-claude-nativesWrote 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.
[](https://agentmods.dev/skills/team-attention/plugins-for-claude-natives/metamedium)<a href="https://agentmods.dev/skills/team-attention/plugins-for-claude-natives/metamedium"><img src="https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/metamedium/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.
<a href="https://agentmods.dev/skills/team-attention/plugins-for-claude-natives/metamedium"><img src="https://agentmods.dev/badge/skills/team-attention/plugins-for-claude-natives/metamedium.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00136 | $0.01292 |
| Opus 5 | $0.00068 | $0.00646 |
| Sonnet 5 | $0.00027 | $0.00258 |
| Haiku 4.5 | $0.00014 | $0.00129 |
Grade A, and why
metamedium 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metamedium: Content vs Form Lens
Distinguish content (what is being said/built) from form (the medium/structure it's delivered through) to surface whether the real leverage is in optimizing content or inventing a new form. Based on Alan Kay's metamedium concept.
"A change of perspective is worth 80 IQ points." — Alan Kay
Core Concept
Most people only change content — what they say, write, or build. The real leverage comes from changing form — the medium, format, or structure itself.
| Content (what) | Form (how/medium) | |
|---|---|---|
| Example | Writing a LinkedIn post | Building a tool that generates posts from client work |
| Example | Writing unit tests manually | Building a test generator from type signatures |
| Example | Giving a workshop | Inventing a format where attendees co-create artifacts |
| Leverage | Linear — each piece is one output | Exponential — each new form enables infinite content |
When to Use
- Planning a project and unsure whether to optimize the output or the process
- Stuck optimizing content with diminishing returns
- Building something and want to check if form-level change would yield more leverage
- Evaluating whether "more of the same" or "something structurally different" is the right move
For requirement clarification, use the vague skill. For strategy blind spot analysis, use the unknown skill.
Protocol
ALWAYS use the AskUserQuestion tool for the fork question in Phase 2 — never ask content/form choices in plain text.
Phase 1: Identify and Label
Read the user's current work, plan, or task. Classify each component as content or form:
[CONTENT] Writing a blog post about AI consulting
[FORM] Building a pipeline that turns consulting retros into blog posts
[CONTENT] Deploying a new API endpoint
[FORM] Building a codegen that auto-generates endpoints from schemas
[CONTENT] Fixing a flaky test
[FORM] Building a test infrastructure that prevents flaky tests by design
What ships with it
1 file 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.
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.
- 12d ago First seen · 134 lines · 136 tokens per session scan A 6bbee094d9ae
metamedium is a skill published in the GitHub repository team-attention/plugins-for-claude-natives (824 stars, last pushed 4mo ago), licensed MIT. It adds 136 tokens to every session and 1,292 once invoked, about $0.0007 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 2026-08-30.
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