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-informationgit 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-information)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-information"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-information/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-information"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-information.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 | $0.00090 | $0.01339 |
| Opus 5 | $0.00045 | $0.00669 |
| Sonnet 5 | $0.00018 | $0.00268 |
| Haiku 4.5 | $0.00009 | $0.00134 |
Grade A, and why
s4h-information 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Information
Applies information theory to problems of signal, noise, compression, redundancy, and uncertainty. Diagnoses what kind of information analysis is needed and routes to the right tool.
Claude Shannon's 1948 paper A Mathematical Theory of Communication established that information has measurable structure. That structure applies far beyond telecommunications: to how clearly a message reaches its audience, how much a piece of evidence actually tells you, how efficiently knowledge is encoded, and how resilient a system is against loss. These tools make that structure visible.
Which tool fits
| You need to... | Tool |
|---|---|
| Separate what matters from what doesn't | information-signal-noise |
| Work out what can be preserved and what can be discarded | information-compression |
| Understand where repetition helps versus wastes | information-redundancy |
| Measure uncertainty, surprise, or information content | information-entropy |
Routing Decision
Framing check: Confirm the information problem in focus before routing. State what you've identified — the source, the question, and what's failing or unclear — in one sentence, then use AskUserQuestion:
-
Question: "I'm reading this as: [your one-sentence framing of the information problem]. 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
-
"There's too much data and I can't find what matters" / "What's actually signal here?" → signal-noise
-
"What can I cut without losing what's important?" / "How do I say this in half the space?" → compression
-
"Some things are repeated — is that a problem or a feature?" / "Where does redundancy help or hurt?" → redundancy
-
"How uncertain is this source?" / "How surprising is this result?" / "How much information does this actually contain?" → entropy
-
Unclear → signal-noise; distinguishing signal from noise is the first step in almost every information problem
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.
- 9d ago First seen · 90 lines · 90 tokens per session scan A 4fac584bf3e8
s4h-information is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,339 once invoked, about $0.0005 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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