Row-Bot is a local-first desktop AI assistant that combines language models with memory and tools for working across files, repositories, workflows, and communication channels. It is intended for people who want an assistant that can run locally while keeping application data on their machine.
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 siddsachar/row-bot --skill daily_briefinggit clone --depth 1 https://github.com/siddsachar/row-botWrote 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/siddsachar/row-bot/daily_briefing)<a href="https://agentmods.dev/skills/siddsachar/row-bot/daily_briefing"><img src="https://agentmods.dev/badge/skills/siddsachar/row-bot/daily_briefing/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/siddsachar/row-bot/daily_briefing"><img src="https://agentmods.dev/badge/skills/siddsachar/row-bot/daily_briefing.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 | $0.00018 | $0.00278 |
| Opus 5.5 | $0.00007 | $0.00111 |
| Sonnet 5.5 | $0.00004 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
daily_briefing 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 1mo 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
When the user asks for a daily briefing, morning summary, or start-of-day update, follow these steps:
- Weather — Call the weather tool for the user's location. Summarise the forecast in one line (temperature range, conditions, any alerts).
- Calendar — Retrieve today's calendar events. List them chronologically with times. If no events, say "No events scheduled."
- Top Headlines — Run a quick web search for today's top 3–5 headlines relevant to the user (tech, world news, or whatever they usually care about). Keep each headline to one sentence with the source.
- Assemble — Present everything in a clean, structured format:
- 🌤️ Weather — …
- 📅 Schedule — …
- 📰 Headlines — …
- End with a brief, encouraging one-liner to start the day.
Keep the tone friendly and concise. The entire briefing should fit comfortably in one screen.
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.
- 1mo ago First seen · 26 lines · 18 tokens per session scan A a9502a717ef9
daily_briefing is a skill published in the GitHub repository siddsachar/row-bot (1,674 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 278 once invoked, about $0.0001 per session on Opus 5.5. 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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