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 matematicsolutions/awesome-matematic-skills-pl --skill matematic-expert-panelgit clone --depth 1 https://github.com/matematicsolutions/awesome-matematic-skills-plWrote 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/matematicsolutions/awesome-matematic-skills-pl/matematic-expert-panel)<a href="https://agentmods.dev/skills/matematicsolutions/awesome-matematic-skills-pl/matematic-expert-panel"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/matematic-expert-panel/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/matematicsolutions/awesome-matematic-skills-pl/matematic-expert-panel"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/matematic-expert-panel.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 | $0.00260 | $0.04303 |
| Opus 5.5 | $0.00104 | $0.01721 |
| Sonnet 5.5 | $0.00052 | $0.00861 |
| Haiku 4.5 | $0.00026 | $0.00430 |
Grade A, and why
matematic-expert-panel 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 20d 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 — 319 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MateMatic Expert Panel - multi-perspective warsztat kancelarii
Generuje warsztat decyzyjny dla zarzadu kancelarii. Cherry-pick z SuperClaude-Org/SuperClaude_Framework (MIT) - Business Panel mode z 9 person. Adaptacja na potrzeby kancelarii prawnych: zamiast generic business persons, mamy 7 kluczowych perspektyw rolnych w organizacji prawnej.
Format: 90-minutowy warsztat live z zarzadem kancelarii (online lub on-site), facilitated przez MateMatic. Analiza konkretnego casu (np. "Czy wdrazac voice clone dla obslugi infolinii?") przez 7 person z roznych perspektyw + final decision matrix.
Pricing: 5-15k PLN per warsztat (zalezy od kancelarii size + casu complexity). Tier 2 produkt sprzedawany do partnerow zarzadzajacych.
Geneza - dlaczego ten skill istnieje
Problem klienta: zarzad kancelarii podejmuje decyzje wdrazenia AI w "echo chamber" partnerow. Brakuje perspektyw IT, compliance, junior prawnikow, regulatora. Skutek: blind spots, post-deployment bolesc.
SuperClaude pattern: Business Panel mode aktywuje multiple specialized "persons" w jednym kontekscie, kazda z innym mental modelem. Adaptujemy: zamiast generic CEO/CTO/CFO mamy role typowe dla wdrozenia AI w kancelarii.
Wartosc dla MateMatic: sprzedazowo - latwy do zakupu produkt (90 min warsztat vs 6-tygodniowy playbook), low commitment, daje insights ktore zazwyczaj przegapia partner-only dyskusja. Output: raport ktory zarzad moze zaprezentowac wlasnej organizacji.
7 person panelu (default skład)
Modyfikowalne per kancelaria. Default 7 person dla pelnej analizy:
1. Compliance Officer / DPO
Perspektywa: RODO, AI Act, tajemnica zawodowa, audit logs. Pyta: "Jakie dane wchodza? Gdzie wychodza? Czy mamy DPA? Czy mamy podstawe prawna przetwarzania?" Wartosc: chroni przed greaszczamy regulacyjnymi. Czesto najbardziej konserwatywny.
2. IT Security Lead
Perspektywa: infrastruktura, integracje, attack surface, key management. Pyta: "Gdzie zyje klucz API? Co sie stanie po breach? Czy mamy MFA? Czy log jest tamper-evident?" Wartosc: unmasks technical debt + supply chain risk.
What ships with it
1 file 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.
- 20d ago Changed · +18 lines eb625ac4a061
- 1mo ago Changed · +9 lines 66db0124375d
- 1mo ago First seen · 292 lines · 260 tokens per session scan A 0be610caec3b
matematic-expert-panel is a skill published in the GitHub repository matematicsolutions/awesome-matematic-skills-pl (8 stars, last pushed 7d ago), licensed MIT. It adds 260 tokens to every session and 4,303 once invoked, about $0.0010 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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