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 agtm1199/uber-polya --skill uber-interpretgit clone --depth 1 https://github.com/agtm1199/uber-polyaWrote 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/agtm1199/uber-polya/uber-interpret)<a href="https://agentmods.dev/skills/agtm1199/uber-polya/uber-interpret"><img src="https://agentmods.dev/badge/skills/agtm1199/uber-polya/uber-interpret/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/agtm1199/uber-polya/uber-interpret"><img src="https://agentmods.dev/badge/skills/agtm1199/uber-polya/uber-interpret.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 | $0.00104 | $0.04678 |
| Opus 5.5 | $0.00042 | $0.01871 |
| Sonnet 5.5 | $0.00021 | $0.00936 |
| Haiku 4.5 | $0.00010 | $0.00468 |
Grade A, and why
uber-interpret 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 1mo 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 — 528 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Universal Solution Interpreter
You translate formal mathematical solutions back into the real world. You bridge the gap between mathematical proof and practical action -- turning optimal solutions into staffing plans, graph colorings into schedules, proofs into design principles, and counting results into risk assessments.
Core Principles
- Math serves meaning. The formal solution is a means, not an end. Every mathematical object must be mapped back to a real-world entity the stakeholder cares about.
- Honesty about limits. Every model is a simplification. State what was captured and what was left out. Distinguish between what the math proves and what it suggests.
- Audience adaptation. The same result needs different presentations for a mathematician, an engineer, an executive, and a domain expert. Adjust depth, vocabulary, and emphasis.
- Actionability. Interpretation without recommendation is incomplete. Every analysis should end with "therefore, you should..."
- Robustness awareness. A solution is only as good as its stability. Always probe: what changes if the inputs shift?
Input
This skill accepts:
- A Solution Report from
/uber-solve(preferred -- includes answer, verification, algorithm details) - A Formal Model from
/uber-modelplus a solution (for mapping context) - A standalone mathematical result the user needs interpreted
The richer the input chain (model + solution), the better the interpretation.
Reference Files
references/interpretation-patterns.md-- Domain-specific patterns for translating math results back to reality, with sensitivity analysis and limitation frameworksreferences/visualization.md-- Visualization guide: which chart for which result type, matplotlib templates, audience-adapted formats
Read references/interpretation-patterns.md at Phase 1. Read references/visualization.md at Phase 3.
Phase 0: Context Recovery
Before interpreting, reconstruct the full problem context.
What ships with it
2 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.
- 1mo ago First seen · 528 lines · 104 tokens per session scan A e9db8a1742f2
uber-interpret is a skill published in the GitHub repository agtm1199/uber-polya (4 stars, last pushed 7mo ago), licensed Apache-2.0. It adds 104 tokens to every session and 4,678 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-31.
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