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 human-avatar/skills-for-humanity --skill s4h-communication-medium-selectiongit clone --depth 1 https://github.com/human-avatar/skills-for-humanityWrote 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/human-avatar/skills-for-humanity/s4h-communication-medium-selection)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-communication-medium-selection"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-communication-medium-selection/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/human-avatar/skills-for-humanity/s4h-communication-medium-selection"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-communication-medium-selection.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 | $0.00062 | $0.01240 |
| Opus 5 | $0.00031 | $0.00620 |
| Sonnet 5 | $0.00012 | $0.00248 |
| Haiku 4.5 | $0.00006 | $0.00124 |
Grade A, and why
s4h-communication-medium-selection 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Communication Medium Selection
The same content delivered through the wrong medium loses most of its effect. Bad news in Slack destroys trust. A complex decision in an email generates confusion. A routine update in a meeting wastes an hour. Medium selection is not a logistics question — it is a communication design decision that determines whether the message can land at all.
Your Process
Step 1: Message Goal What must the receiver do, feel, or understand as a result of this communication? Be specific. "Understand the situation" is not a goal. "Approve the budget by Friday" is. "Feel heard about the reorg" is.
Framing check: Confirm the message, the audience, and the goal before continuing. State what you've identified — the actual communication being designed and its key parameters — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the message, audience, and goal]. 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
Step 2: Urgency How quickly must they act or respond? Hours, days, weeks? Urgency drives the sync vs async question more than any other factor.
Step 3: Emotional Weight Is this message carrying emotional content? Difficult news, a sensitive correction, a celebration, a request that requires trust, a change that affects someone's identity or security? Emotional weight requires channels that allow nuance and reaction.
Step 4: Complexity Does this require back-and-forth to resolve, or can it land cleanly in a single read? Complex decisions with multiple unknowns require synchronous dialogue. Clear information transfers can be async.
Step 5: Match to Medium Apply the selection logic:
- Difficult news / sensitive topic → sync verbal (in person or video)
- Complex decision requiring buy-in → meeting with written pre-read
- Simple update, no action required → async written (email or doc)
- Permanent record needed → written
- Emotional connection is the goal → video or in person
- Fast coordination, low stakes → messaging (Slack, etc.)
- Formal commitment → written with signature or named acknowledgment
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 · 122 lines · 62 tokens per session scan A fea34ce9c3f4
s4h-communication-medium-selection is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 1,240 once invoked, about $0.0003 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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