Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/dithiothreitol/jdg-ksiegowynpx agentmods add skills/dithiothreitol/jdg-ksiegowy/zus-draWrote 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/dithiothreitol/jdg-ksiegowy/zus-dra)<a href="https://agentmods.dev/skills/dithiothreitol/jdg-ksiegowy/zus-dra"><img src="https://agentmods.dev/badge/skills/dithiothreitol/jdg-ksiegowy/zus-dra/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/dithiothreitol/jdg-ksiegowy/zus-dra"><img src="https://agentmods.dev/badge/skills/dithiothreitol/jdg-ksiegowy/zus-dra.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 | $0.00113 | $0.00629 |
| Opus 5 | $0.00056 | $0.00315 |
| Sonnet 5 | $0.00023 | $0.00126 |
| Haiku 4.5 | $0.00011 | $0.00063 |
Grade A, and why
zus-dra 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 11d 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.
What it actually says
ZUS DRA (KEDU v5.05)
Generuje XML KEDU z miesięczną DRA do ręcznego importu przez PUE ZUS.
Uwaga: PUE ZUS nie oferuje publicznego REST API. Skill generuje XML — użytkownik importuje go ręcznie: PUE → Dokumenty i wiadomości → Import KEDU.
Wywołanie
# DRA za marzec 2026, przychód 2024 = 120k PLN (próg II zdrowotnej)
python3 skills/zus-dra/scripts/generate.py \
--month 3 --year 2026 \
--annual-prior-income 120000
# Z doliczeniem składek społecznych (pełne ZUS, nie preferencyjny)
python3 skills/zus-dra/scripts/generate.py \
--month 3 --year 2026 \
--annual-prior-income 250000 \
--include-social
# Własna ścieżka output
python3 skills/zus-dra/scripts/generate.py \
--month 3 --year 2026 --annual-prior-income 60000 \
--output /tmp/DRA_mar2026.xml
Progi zdrowotne (ryczałt 2026)
Oblicza jdg_ksiegowy.tax.zus.get_zus_tier(annual_prior_income):
| Próg | Przychód rok poprz. | Składka zdrowotna/mies. |
|---|---|---|
| I | ≤ 60 000 PLN | ~ 360 PLN |
| II | 60 001 – 300 000 | ~ 600 PLN |
| III | > 300 000 PLN | ~ 1080 PLN |
Termin
DRA za miesiąc M składa się do 20-tego miesiąca M+1 (czyli DRA za marzec → do 20 kwietnia).
Wysyłka
- Zaloguj na PUE ZUS
- Menu Dokumenty i wiadomości → Import KEDU
- Wskaż wygenerowany XML → potwierdź podpisem kwalifikowanym/ePUAP/PUE
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.
- 11d ago First seen · 50 lines · 113 tokens per session scan A bd83049eb73f
zus-dra is a skill published in the GitHub repository dithiothreitol/jdg-ksiegowy (5 stars, last pushed 1mo ago), licensed MIT. It adds 113 tokens to every session and 629 once invoked, about $0.0006 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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