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-clarity-auditgit 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-clarity-audit)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-communication-clarity-audit"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-communication-clarity-audit/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-clarity-audit"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-communication-clarity-audit.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 | $0.00066 | $0.01213 |
| Opus 5 | $0.00033 | $0.00607 |
| Sonnet 5 | $0.00013 | $0.00243 |
| Haiku 4.5 | $0.00007 | $0.00121 |
Grade A, and why
s4h-communication-clarity-audit 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Communication Clarity Audit
Most clarity failures are invisible to the sender because the sender knows what they meant. The receiver does not have that context, and the gap between what was meant and what is read is where miscommunication lives. This audit finds that gap by reading the message as the receiver would — without access to the sender's intent.
Your Process
Step 1: Read from the Receiver's Perspective Do not read this as the writer who knows what was meant. Read it as someone receiving it cold. What is actually on the page? This requires a deliberate perspective shift — it is the hardest step and the most important one.
Framing check: Confirm the specific message, audience, and goal before continuing. State what you've identified — the actual content being audited, who it's addressed to, and what it's trying to achieve — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the message, its intended audience, and its 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: Structure Check Can the main point be identified within 10 seconds? If not, the structure is obscuring it. Is the structure serving the reader or the writer's thinking process? The two are often different.
Step 3: Jargon Inventory List every term or acronym that requires context the reader may not have. Each one is a potential comprehension failure. Include terms that feel obvious — "obvious" is always relative to what the writer knows.
Step 4: Assumption Inventory What must the reader already know or believe for this message to make sense? State each assumption explicitly. For each: does this reader have this context? If not, the message has a gap.
Step 5: Ask — Is It Clear? Is there a clear action or next step? Is it clear who does what, by when? A message that informs without directing produces nothing. A message that directs ambiguously produces the wrong thing.
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 · 120 lines · 66 tokens per session scan A 513319afbe03
s4h-communication-clarity-audit is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 1,213 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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