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-cognitiongit 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-cognition)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-cognition"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-cognition/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-cognition"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-cognition.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 | $0.00091 | $0.01372 |
| Opus 5 | $0.00046 | $0.00686 |
| Sonnet 5 | $0.00018 | $0.00274 |
| Haiku 4.5 | $0.00009 | $0.00137 |
Grade A, and why
s4h-cognition 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 13d 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cognition
Applies cognitive science to understand and improve how thinking itself works — attention, mental models, metacognition, and cognitive load. Diagnoses what kind of cognitive work is needed and routes to the right tool.
Which tool fits
| You need to... | Tool |
|---|---|
| Understand what is capturing or depleting attention — and how to protect it | cognition-attention |
| Surface and audit the mental models driving perception and decisions | cognition-mental-models |
| Apply thinking-about-thinking to monitor comprehension and calibrate confidence | cognition-metacognition |
| Manage the limits of working memory — chunking, offloading, reducing complexity | cognition-cognitive-load |
Routing Decision
Framing check: Confirm the specific cognitive situation before routing. State what you've identified — the thinker or system in question, the cognitive challenge, and what the user wants to improve or understand — in one sentence, then use AskUserQuestion:
-
Question: "I'm reading this as: [your one-sentence framing of the specific cognitive challenge and what you want to understand or change]. 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
-
"I can't focus" / "attention keeps getting pulled away" / "how do I protect deep work time" → cognition-attention (map the attention economy, identify threats and defences)
-
"I keep seeing this the same way" / "what assumptions are built into how I see this" / "what mental model am I using" → cognition-mental-models (surface the implicit representations driving perception)
-
"I don't know what I don't know" / "how confident should I be" / "am I actually understanding this" → cognition-metacognition (apply thinking-about-thinking to calibrate and monitor)
-
"This is too much to hold at once" / "complexity is overwhelming" / "how do I simplify this" → cognition-cognitive-load (apply Sweller's cognitive load theory to manage working memory limits)
-
Unclear → cognition-metacognition; most cognitive difficulties trace back to not knowing what you do and don't understand
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.
- 13d ago First seen · 88 lines · 91 tokens per session scan A facdd114d672
s4h-cognition is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 91 tokens to every session and 1,372 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 2026-08-30.
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