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 Alex8791-cyber/cognithor --skill wetter_abfragegit clone --depth 1 https://github.com/Alex8791-cyber/cognithorWrote 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/alex8791-cyber/cognithor/wetter_abfrage)<a href="https://agentmods.dev/skills/alex8791-cyber/cognithor/wetter_abfrage"><img src="https://agentmods.dev/badge/skills/alex8791-cyber/cognithor/wetter_abfrage/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/alex8791-cyber/cognithor/wetter_abfrage"><img src="https://agentmods.dev/badge/skills/alex8791-cyber/cognithor/wetter_abfrage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00473 |
| Opus 5 | $0.00028 | $0.00236 |
| Sonnet 5 | $0.00011 | $0.00095 |
| Haiku 4.5 | $0.00006 | $0.00047 |
Grade A, and why
wetter-abfrage 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 13d 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
Wetter Abfrage
Retrieves current weather conditions (temperature, humidity, wind speed, conditions) and multi-day forecasts for a user-specified location.
Steps
- Parse location — extract city name or coordinates from user input:
cognithor wetter_abfrage München - Query weather API — fetch current conditions and forecast data:
async with httpx.AsyncClient() as client: resp = await client.get( f"{API_BASE}/weather", params={"q": location, "units": "metric"} ) data = resp.json() - Format response — present key metrics in a readable summary:
München — 18°C, leicht bewölkt Luftfeuchtigkeit: 62% | Wind: 12 km/h NW Vorhersage: Mo 20°C ☀️ | Di 17°C 🌧️ | Mi 19°C ⛅ - Handle ambiguity — if multiple locations match, present options:
Meinten Sie: (1) München, DE (2) München, AT? - Return structured data —
{"status": "ok", "result": <weather_data>}
Example
User > Wie wird das Wetter morgen in Berlin?
Cognithor > Berlin — morgen: 22°C, sonnig
Luftfeuchtigkeit: 45% | Wind: 8 km/h SO
UV-Index: 6 (hoch) — Sonnenschutz empfohlen
Error Handling
| Error | Cause | Recovery |
|---|---|---|
| Location not found | Typo or unknown city | Ask user to re-enter or provide coordinates |
| API timeout | Network issue or rate limit | Retry once after 2s; report failure if persistent |
| Missing data fields | Partial API response | Return available fields, note missing ones |
What ships with it
4 files 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.
- 13d ago First seen · 53 lines · 55 tokens per session scan A 7ad642fb9d79
wetter-abfrage is a skill published in the GitHub repository Alex8791-cyber/cognithor (154 stars, last pushed 5d ago), licensed Apache-2.0. It adds 55 tokens to every session and 473 once invoked, about $0.0003 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 2026-08-30.
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