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 adversarial-legal-review-plgit 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/adversarial-legal-review-pl)<a href="https://agentmods.dev/skills/matematicsolutions/awesome-matematic-skills-pl/adversarial-legal-review-pl"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/adversarial-legal-review-pl/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/adversarial-legal-review-pl"><img src="https://agentmods.dev/badge/skills/matematicsolutions/awesome-matematic-skills-pl/adversarial-legal-review-pl.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 | $0.00268 | $0.06919 |
| Opus 5 | $0.00134 | $0.03460 |
| Sonnet 5 | $0.00054 | $0.01384 |
| Haiku 4.5 | $0.00027 | $0.00692 |
Grade A, and why
adversarial-legal-review-pl 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 — 372 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Adversarial Legal Review PL - czerwony zespół dla pisma prawnego
Filozofia
Lepiej, żeby słabość Twojej tezy znalazł Twój własny agent niż przeciwnik na rozprawie.
Pojedynczy przebieg LLM produkuje argumentację, która brzmi pewnie - bo model jest trenowany, by brzmieć pewnie. To złudzenie kompetencji. Prawdziwa wartość prawnika to przewidzieć kontrargument, kontr-orzecznictwo i lukę w rozumowaniu, zanim zrobi to druga strona. Ten skill instytucjonalizuje kontradyktoryjność: jeden agent broni, drugi atakuje, trzeci godzi, czwarty weryfikuje.
To NIE jest pisanie deliverable od zera. To stress-test gotowego deliverable.
Bramka kosztu (czytaj PRZED uruchomieniem)
Pełny cykl jest drogi tokenowo. Uruchamiaj tylko dla wysokiej stawki:
| Uruchom (high-stakes) | NIE uruchamiaj (zwykłe) |
|---|---|
| Opinia prawna do klienta | Notatka wewnętrzna |
| Due diligence / memo M&A | Streszczenie orzeczenia |
| Pismo procesowe przed terminem | Robocza analiza, draft |
| Rekomendacja do zarządu kancelarii | FAQ, content marketingowy |
| Stanowisko niosące istotne ryzyko finansowe lub reputacyjne | Zapytanie rutynowe |
Jeśli sprawa nie jest high-stakes - powiedz to wprost i zaproponuj zwykły jednoprzebiegowy review zamiast pełnej debaty. Nie pal tokenów na rutynę.
Workflow (4 role + weryfikacja)
Każda rola to osobny przebieg z czystym mandatem. Pseudonimizuj wejście przez let-it-be,
jeśli dokument zawiera dane objęte tajemnicą zawodową.
Poziomy dostępu recenzentów (anty-bias)
Recenzenci dzielą się na dwa poziomy o RÓŻNYM dostępie do materiału. To jest celowe, nie przypadkowe:
- IZOLOWANY (spójność wewnętrzna): recenzent logiki i struktury widzi wyłącznie bieżący draft - bez źródeł, bez orzecznictwa. Mandat: czy teza nie przeczy własnemu uzasadnieniu, czy wnioski wynikają z przesłanek, gdzie są luki logiczne. NIE ocenia, czy cytat jest prawdziwy. Gdyby widział źródła, myliłby „brzmi jak źródło" z „jest spójne wewnętrznie".
- WZBOGACONY (grounding): attacker (rola 2) i kontrola cytatów (punkt 1 verifiera) widzą źródła i intake, i sięgają po orzecznictwo przeciwne. Mandat: oparcie twierdzeń i autorytet przeciwny.
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.
- 12d ago First seen · 372 lines · 268 tokens per session scan A 2858449b6f01
adversarial-legal-review-pl is a skill published in the GitHub repository matematicsolutions/awesome-matematic-skills-pl (6 stars, last pushed 19d ago), licensed MIT. It adds 268 tokens to every session and 6,919 once invoked, about $0.0013 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 2026-08-31.
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