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-analogygit 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-analogy)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-analogy"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-analogy/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-analogy"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-analogy.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 | $0.00077 | $0.01050 |
| Opus 5 | $0.00039 | $0.00525 |
| Sonnet 5 | $0.00015 | $0.00210 |
| Haiku 4.5 | $0.00008 | $0.00105 |
Grade A, and why
s4h-analogy 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analogy
Applies analogical reasoning to any problem. Diagnoses what kind of analogy work is needed and applies the right tool.
Which tool fits
| You need to... | Tool |
|---|---|
| Find where an existing analogy or metaphor breaks down | boundary-testing |
| Import solutions from a completely different domain | domain-transfer |
| Approach a problem through a different field's lens | perspective-shifting |
| Test the structural correspondence between two situations | structure-mapping |
Routing Decision
- Already using an analogy and want to stress-test it → boundary-testing
- Stuck on a problem, want to find who's solved something like it elsewhere → domain-transfer
- Need fresh eyes from an expert in a different field → perspective-shifting
- Want to know if two situations are genuinely structurally similar → structure-mapping
- Unclear → structure-mapping first (establishing the analogy rigorously), then boundary-testing (finding where it fails)
Framing check: Confirm the specific analogy situation before routing. State what you've identified — the analogy or problem being examined and the goal (stress-test, import solutions, shift perspective, or validate structure) — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the analogy situation and 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
Confirm Direction
After diagnosing which tool fits, use the AskUserQuestion tool to confirm direction. Construct the question dynamically to include your diagnosis:
- Question: "My read: [diagnosed tool] — [one sentence on why it fits]. How would you like to proceed?"
- Header: "Direction"
- Options:
- Yes, run that tool — Execute the diagnosed skill immediately using the context already provided
- Show all options — List every skill in this category with one-line descriptions
- Quick version — Run a lighter-weight alternative if one exists for this situation
- Re-diagnose — Revisit the situation description for a different read
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 · 90 lines · 77 tokens per session scan A 0ac07218086f
s4h-analogy is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 1,050 once invoked, about $0.0004 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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