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 onfire7777/universal-ai-skills-library --skill abstraction-concrete-examplesgit clone --depth 1 https://github.com/onfire7777/universal-ai-skills-libraryWrote 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/onfire7777/universal-ai-skills-library/abstraction-concrete-examples)<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/abstraction-concrete-examples"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/abstraction-concrete-examples/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/onfire7777/universal-ai-skills-library/abstraction-concrete-examples"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/abstraction-concrete-examples.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00069 | $0.01298 |
| Opus 5 | $0.00034 | $0.00649 |
| Sonnet 5 | $0.00014 | $0.00260 |
| Haiku 4.5 | $0.00007 | $0.00130 |
Grade A, and why
abstraction-concrete-examples 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 12d 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 — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Abstraction Ladder Framework
Table of Contents
- Purpose
- When to Use This Skill
- What is an Abstraction Ladder?
- Workflow
- Common Patterns
- Guardrails
- Quick Reference
Purpose
Create structured abstraction ladders showing how concepts translate from high-level principles to concrete, actionable examples. This bridges communication gaps, reveals hidden assumptions, and tests whether abstract ideas work in practice.
When to Use This Skill
- User needs to explain same concept to different expertise levels
- Task requires moving between "why" (abstract) and "how" (concrete)
- Identifying edge cases by testing principles against specific scenarios
- Designing layered documentation (overview → details → specifics)
- Decomposing complex problems into actionable steps
- Validating that high-level goals translate to concrete actions
- Bridging strategy and execution gaps
Trigger phrases: "abstraction levels", "make this concrete", "explain at different levels", "from principles to implementation", "high-level and detailed view"
What is an Abstraction Ladder?
A multi-level structure (typically 3-5 levels) connecting universal principles to concrete details:
- Level 1 (Abstract): Universal principles, theories, values
- Level 2: Frameworks, standards, categories
- Level 3 (Middle): Methods, approaches, general examples
- Level 4: Specific implementations, concrete instances
- Level 5 (Concrete): Precise details, measurements, edge cases
Quick Example:
- L1: "Software should be maintainable"
- L2: "Use modular architecture"
- L3: "Apply dependency injection"
- L4: "UserService injects IUserRepository"
- L5:
constructor(private repo: IUserRepository) {}
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 128 lines · 69 tokens per session scan A 6d30b6530665
abstraction-concrete-examples is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed today), licensed MIT. It adds 69 tokens to every session and 1,298 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.
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