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-systems-archetype-matchinggit 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-systems-archetype-matching)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-systems-archetype-matching"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-systems-archetype-matching/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-systems-archetype-matching"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-systems-archetype-matching.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 | $0.00063 | $0.01180 |
| Opus 5 | $0.00032 | $0.00590 |
| Sonnet 5 | $0.00013 | $0.00236 |
| Haiku 4.5 | $0.00006 | $0.00118 |
Grade A, and why
s4h-systems-archetype-matching 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Systems Archetype Matching
Recurring system behaviors are not unique — they follow a small set of structural patterns that have known causes and known high-leverage responses. Senge's eight archetypes give names to these patterns. Matching the current situation to an archetype tells you what structure is producing the behavior and what intervention actually works, rather than re-discovering the same solution each cycle.
Your Process
Step 1: Describe the Recurring Behavior State what keeps happening. Include: what was tried, what temporarily worked, what came back. The more specific, the better the match.
Framing check: Confirm the specific system and its recurring behavior before continuing. State what you've identified — the system in question, the behavior that keeps repeating, and what has been tried — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the system and recurring behavior]. 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: Compare Against All Eight Archetypes Screen each archetype:
- Limits to Growth: growth slows unexpectedly as a constraint is hit
- Shifting the Burden: symptomatic fix used repeatedly, undermining fundamental solution
- Eroding Goals: goals lowered to close the gap instead of improving performance
- Escalation: two parties each respond to the other's actions by increasing their own
- Success to the Successful: winner gets more resources, making it harder for others to compete
- Tragedy of the Commons: shared resource overused because individual gain exceeds individual cost
- Fixes that Fail: short-term fix has delayed negative side effects that recreate the problem
- Growth and Underinvestment: growth slows because capacity investment lags demand
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 · 104 lines · 63 tokens per session scan A 11f80d501f79
s4h-systems-archetype-matching is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 63 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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