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 SKYLENAGE-AI/QwenClawBench --skill currency-convertergit clone --depth 1 https://github.com/SKYLENAGE-AI/QwenClawBenchWrote 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/skylenage-ai/qwenclawbench/currency-converter)<a href="https://agentmods.dev/skills/skylenage-ai/qwenclawbench/currency-converter"><img src="https://agentmods.dev/badge/skills/skylenage-ai/qwenclawbench/currency-converter/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/skylenage-ai/qwenclawbench/currency-converter"><img src="https://agentmods.dev/badge/skills/skylenage-ai/qwenclawbench/currency-converter.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 | $0.00031 | $0.00348 |
| Opus 5 | $0.00015 | $0.00174 |
| Sonnet 5 | $0.00006 | $0.00070 |
| Haiku 4.5 | $0.00003 | $0.00035 |
Grade C, and why
currency-converter scanned grade C with 2 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -s "https://open.er-api.com/v6/latest/USD" | python3 -c " Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
bins: ["curl"] What it actually says
Currency Converter Skill
Convert between currencies using live exchange rates.
When to Use
✅ USE this skill when:
- "How much is 100 USD in EUR?"
- "Convert 5000 CNY to JPY"
- "What's the exchange rate for GBP to USD?"
Commands
Convert
curl -s "https://open.er-api.com/v6/latest/USD" | python3 -c "
import sys, json
data = json.load(sys.stdin)
rate = data['rates']['EUR']
amount = 100
print(f'{amount} USD = {amount * rate:.2f} EUR')
"
Get Rate
curl -s "https://open.er-api.com/v6/latest/CNY" | python3 -c "
import sys, json; data = json.load(sys.stdin); print(f'1 CNY = {data[\"rates\"][\"USD\"]:.4f} USD')
"
Supported Currencies
All ISO 4217 codes: USD, EUR, GBP, CNY, JPY, KRW, HKD, TWD, SGD, AUD, CAD, CHF, etc.
Notes
- Uses open.er-api.com (free, no key required)
- Rates update daily
- Not suitable for trading decisions (use live market feeds)
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 · 55 lines · 31 tokens per session scan C 54d446541678
currency-converter is a skill published in the GitHub repository SKYLENAGE-AI/QwenClawBench (60 stars, last pushed 3mo ago), licensed MIT. It adds 31 tokens to every session and 348 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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