nanobot is a small, self-hosted personal AI agent framework written in Python, providing an agent runtime that can operate through a WebUI, terminal, or chat applications. Users use it to connect language models with tools, memory, MCP integrations, scheduled automation, and multi-agent workflows. The catalogue add-ons provide skills and instructions for working with nanobot.
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 HKUDS/nanobot --skill weathergit clone --depth 1 https://github.com/HKUDS/nanobotWrote 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/hkuds/nanobot/weather)<a href="https://agentmods.dev/skills/hkuds/nanobot/weather"><img src="https://agentmods.dev/badge/skills/hkuds/nanobot/weather/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/hkuds/nanobot/weather"><img src="https://agentmods.dev/badge/skills/hkuds/nanobot/weather.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 61 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00008 | $0.00545 |
| Opus 5.5 | $0.00003 | $0.00218 |
| Sonnet 5.5 | $0.00002 | $0.00109 |
| Haiku 4.5 | $0.00001 | $0.00055 |
Grade A, and why
weather scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: {"nanobot":{"emoji":"🌤️","requires":{"bins":["curl"]}}} What it actually says
Weather
Two free services, no API keys needed.
wttr.in (primary)
Choose one request that matches the user's scope. Do not fetch current conditions separately when a today or forecast request already includes them.
Platform notes:
- On Windows PowerShell, use
curl.exe; barecurlmay resolve toInvoke-WebRequest. - On macOS and Linux, use
curl.
Current conditions only:
curl -s "https://wttr.in/London?format=3"
# Output: London: ⛅️ +8°C
Custom current conditions format:
curl -s "https://wttr.in/London?format=%l:+%c+%t+%h+%w"
# Output: London: ⛅️ +8°C 71% ↙5km/h
Today's weather, including current conditions (use this single request for questions about today's weather):
curl -s "https://wttr.in/London?1&m"
Full forecast:
curl -s "https://wttr.in/London?T&m"
On Windows PowerShell, replace curl with curl.exe in the commands above.
Format codes: %c condition · %t temp · %h humidity · %w wind · %l location · %m moon
Tips:
- URL-encode spaces:
wttr.in/New+York - Airport codes:
wttr.in/JFK - Units:
?m(metric)?u(USCS) - Today only:
?1· Current only:?0 - PNG (macOS/Linux):
curl -s "https://wttr.in/Berlin.png" -o weather.png - PNG (Windows PowerShell):
curl.exe -s "https://wttr.in/Berlin.png" -o weather.png
Open-Meteo (fallback, JSON)
Free, no key, good for programmatic use:
curl -s "https://api.open-meteo.com/v1/forecast?latitude=51.5&longitude=-0.12¤t_weather=true"
Find coordinates for a city, then query. Returns JSON with temp, windspeed, weathercode.
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.
- 8d ago Changed · -5 tokens per session 5f0a17119b12
- 1mo ago First seen · 67 lines · 13 tokens per session scan A 964e97c904e9
weather is a skill published in the GitHub repository HKUDS/nanobot (49,304 stars, last pushed today), licensed MIT. It adds 8 tokens to every session and 545 once invoked, about $0.0000 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
agenticx-custom-project
A project guide for building applications with AgenticX, an agent-building platform, and deciding whether a bug or feature belongs in your own repository or the platform's upstream repository. It also covers drafting issues and pull requests.
connector-assistant
A conversation skill for creating and managing connectors, which link external systems such as APIs, remote tool servers, or databases to an agent. It distinguishes these connections from separate agent identities and ordinary tool installations.
agenticx-query-data-source
Use when the user asks about verifiable quantitative facts (stock prices, financial indicators, macro data, company registry, academic metrics, legal statutes) that must come from a live data source rather than training memory.
agenticx-a2a-connector
Guide for using the A2A (Agent-to-Agent) communication protocol in AgenticX including agent discovery, skill invocation, remote agent cards, and distributed agent systems. Use when the user wants agents to communicate with each other, set up distributed agent systems, invoke remote agent skills, or build…
agenticx-memory-architect
Guide for setting up and using the AgenticX memory system including Mem0 integration, long-term memory, context management, and memory-enhanced agents. Use when the user wants to add memory to agents, persist conversation history, build memory-aware workflows, or integrate with Mem0 for long-term recall.
agenticx-workflow-designer
Guide for designing and running AgenticX workflows including sequential pipelines, parallel execution, graph-based orchestration, conditional routing, and trigger services. Use when the user wants to create workflows, orchestrate multiple agents, design agent pipelines, or set up complex multi-step processes.