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-social-dynamics-analysisgit 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-social-dynamics-analysis)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-social-dynamics-analysis"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-social-dynamics-analysis/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-social-dynamics-analysis"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-social-dynamics-analysis.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 | $0.01180 |
| Opus 5 | $0.00033 | $0.00590 |
| Sonnet 5 | $0.00013 | $0.00236 |
| Haiku 4.5 | $0.00007 | $0.00118 |
Grade A, and why
s4h-social-dynamics-analysis 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Group Dynamics Analysis
Groups develop collective behaviours that are invisible from inside them. Premature consensus, status-based deference, and psychological unsafety all degrade decision quality — and they are self-reinforcing. Naming the dynamic is the first step to changing it.
Your Process
Step 1: Observe or Recall Group Behaviour Work from specific, concrete instances of how the group acts — not general impressions. What actually happened in the last meeting or decision? What was said? What was not said?
Framing check: Confirm the specific group and context before continuing. State what you've identified — the actual group being analyzed and the situation or event in focus — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the group and the situation or event in focus]. 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: Check for Groupthink Signals
- Premature consensus — agreement reached without exploring disagreement
- Self-censorship — individuals privately disagree but don't speak
- Illusion of unanimity — silence treated as agreement
- Pressure on dissenters — challenge is met with discomfort or social cost
- No contingency planning — "what if we're wrong?" is not asked
Step 3: Assess Status Dynamics Who speaks most, and does speaking time correlate with expertise or with seniority? Who is deferred to regardless of subject matter? Whose ideas get attributed to someone else? Status often drives decisions more than merit.
Step 4: Assess Psychological Safety Do people raise concerns, admit uncertainty, and challenge ideas — or do they signal alignment and hedge? Rate: high / medium / low.
Step 5: Identify Coalition Patterns Are subgroups forming? Are decisions being pre-made outside formal meetings? Are there recurring alliances or persistent tensions?
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 · 112 lines · 66 tokens per session scan A b8b66f4c5204
s4h-social-dynamics-analysis 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 1,180 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 2026-09-03.
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