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 seabasst/claude-smb-sverige --skill kassa-prognos-30dgit clone --depth 1 https://github.com/seabasst/claude-smb-sverigeWrote 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/seabasst/claude-smb-sverige/kassa-prognos-30d)<a href="https://agentmods.dev/skills/seabasst/claude-smb-sverige/kassa-prognos-30d"><img src="https://agentmods.dev/badge/skills/seabasst/claude-smb-sverige/kassa-prognos-30d/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/seabasst/claude-smb-sverige/kassa-prognos-30d"><img src="https://agentmods.dev/badge/skills/seabasst/claude-smb-sverige/kassa-prognos-30d.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 | $0.00179 | $0.00558 |
| Opus 5 | $0.00089 | $0.00279 |
| Sonnet 5 | $0.00036 | $0.00112 |
| Haiku 4.5 | $0.00018 | $0.00056 |
Grade A, and why
kassa-prognos-30d 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.
What it actually says
30-dagars kassaflödesprognos
Status: STUB — bidra gärna
Skillen ska:
- Hämta nuvarande bankposition från Bokio (konto 1930) + Stripe/Klarna-saldon
- Hämta öppna kundfakturor (1510) med förfallodatum
- Riskvikta inkommande betalningar:
- Förfallna fakturor < 30 dagar: 80 % sannolikhet
- 30–60 dagar: 60 %
- 60–90 dagar: 30 %
- 90+ dagar: 10 %
- Specifika kunder med historik: ange individuell sannolikhet
- Lista kommande utbetalningar (säkra):
- Lön (utbetalningsdatum)
- Skattebetalning (moms, AGI — datum från skatteverket)
- Hyror, prenumerationer (återkommande)
- Leverantörsfakturor med förfallodatum
- Generera daglig prognos i 30 dagar
- Flagga:
- Dagar med risk för negativ kassa
- Buffert vs målnivå
- Stora utbetalningar som kommer
TODO
- Visualisering som linjediagram eller stapeldiagram
- Scenarioplanering ("vad händer om kund X betalar sent")
- Integrationsstöd för Open Banking via Tink (realtidsbalans)
- Återkommande prenumerationer från Stripe/Klarna
Referenser
- Standardpraxis för SMB-cashflow-modellering
- Bokios fakturarapport-API
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 · 42 lines · 0 tokens per session scan A d7d9fdaee337
kassa-prognos-30d is a skill published in the GitHub repository seabasst/claude-smb-sverige (9 stars, last pushed 3mo ago), licensed MIT. It adds 179 tokens to every session and 558 once invoked, about $0.0009 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.
Other skills, from other repositories
second-order-thinking
Think beyond immediate consequences to understand the chain reactions of decisions. Master Howard Marks' investment framework for seeing what others miss. Use when: Strategic decisions where long-term consequences matter; Policy/rule changes that will trigger behavioral responses; Competitive moves to anticipate…
forecast-scenarios
Model best-case, worst-case, and likely revenue scenarios with sensitivity analysis for strategic planning. Use when: building financial forecasts; presenting board scenarios; planning headcount around revenue uncertainty; modeling pricing changes impact; preparing investor updates with upside/downside ranges.
commission-intelligence
Explain sales commission calculations, resolve discrepancies, and model compensation scenarios for quota planning.
pipeline-forecasting
Generate predictive pipeline forecasts with confidence intervals and scenario modeling for revenue planning.
agb-bei-kreditvertraegen-verbraucherdarlehen
Für AGB bei Kreditverträgen Verbraucherdarlehen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.
agb-in-kapitalanlagen-effektenhandel
Für AGB in Kapitalanlagen Effektenhandel: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.