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-analogy-structure-mappinggit 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-structure-mapping)<a href="https://agentmods.dev/skills/human-avatar/skills-for-humanity/s4h-analogy-structure-mapping"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-analogy-structure-mapping/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-structure-mapping"><img src="https://agentmods.dev/badge/skills/human-avatar/skills-for-humanity/s4h-analogy-structure-mapping.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 | $0.00060 | $0.01059 |
| Opus 5 | $0.00030 | $0.00530 |
| Sonnet 5 | $0.00012 | $0.00212 |
| Haiku 4.5 | $0.00006 | $0.00106 |
Grade A, and why
s4h-analogy-structure-mapping 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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analogy Structure Mapping
Analogies are persuasive but often wrong. The surface similarity that makes a comparison feel apt can obscure structural differences that make it invalid. This skill maps the deep structure of both situations and checks correspondence element by element — distinguishing genuine isomorphism (same structure, different content) from superficial similarity (same surface, different structure).
Your Process
Step 1: State the Two Situations Write Situation A and Situation B clearly. State the analogy as claimed: "A is like B because..."
Framing check: Confirm the specific analogy before continuing. State what you've identified — the two situations being compared and the analogical claim linking them — in one sentence, then use AskUserQuestion:
- Question: "I'm reading this as: [your one-sentence framing of the two situations and the claimed analogy]. 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 situations or analogy than read; incorporate the correction before proceeding
Step 2: Extract Structure of Each For each situation independently, map: key actors, their relationships, the dynamics (what drives change), the constraints (what limits action), and the goals (what success looks like). Do this for each situation before comparing — comparison before extraction introduces bias.
Step 3: Map Elements A to B For each structural element in A, identify the corresponding element in B. State the mapping explicitly: "In A, X plays the role of Y in B."
Step 4: Classify Each Mapped Pair For each mapped pair: is the correspondence genuine (same structural role, same relationship type, same dynamics) or superficial (same label or surface feature, different structural role)?
Step 5: Find Where the Mapping Breaks Every analogy breaks somewhere — this is not a failure, it is where the analysis becomes useful. Which differences are structurally significant? Which make the analogy unreliable for the specific prediction or decision being made?
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 · 112 lines · 60 tokens per session scan A 0b4e9ba4aeff
s4h-analogy-structure-mapping is a skill published in the GitHub repository human-avatar/skills-for-humanity (223 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 1,059 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 2026-08-30.
Other skills, from other repositories
decision-making-under-pressure
Provides practical habits for making better decisions faster -- reframing problems before solving them, knowing when to stop deliberating, balancing intuition with analysis, resisting 'just this once' compromises, and breaking overthinking cycles. Use when facing a high-stakes choice with incomplete data, sensing that…
flow-state
Optimizes individual and team productivity using Csikszentmihalyi's flow state framework, covering the conditions for flow (clear goals, immediate feedback, challenge-skill balance), the four-stage flow cycle, and organizational flow design. Use when auditing personal or team focus time, diagnosing productivity loss…
stoic-right-action
Applies Stoic ethics of right action to entrepreneurial decision-making, covering the four cardinal virtues (courage, justice, temperance, wisdom), ethical leadership under pressure, and the discipline of choosing the harder right over the easier wrong. Use when facing ethical dilemmas in business, building a…
bakeoff
Turn one decision into a judged tournament of solutions, then pick the best. Given a problem, design choice, or a suggestion you want cross-verified, it generates diverse candidate solutions, auto-derives the evaluation dimensions for THAT problem (so you don't have to know what to score on), judges every candidate…
balanced-scorecard
Translate strategy into metrics across Financial, Customer, Internal Process, and Learning & Growth perspectives.
customer-journey-map
Visualize every touchpoint a customer has with a product or service — stages, actions, emotions, pain points, opportunities.