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 chart_guidegit 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/chart_guide)<a href="https://agentmods.dev/skills/siddsachar/row-bot/chart_guide"><img src="https://agentmods.dev/badge/skills/siddsachar/row-bot/chart_guide/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/chart_guide"><img src="https://agentmods.dev/badge/skills/siddsachar/row-bot/chart_guide.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 | $0.00014 | $0.00271 |
| Opus 5.5 | $0.00006 | $0.00108 |
| Sonnet 5.5 | $0.00003 | $0.00054 |
| Haiku 4.5 | $0.00001 | $0.00027 |
Grade A, and why
chart_guide 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 5d 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
DATA VISUALISATION:
- When you analyse tabular data (CSV, Excel, JSON) and the results would be clearer as a chart, use the create_chart tool to render an interactive Plotly chart inline (chart_type lists the supported types).
- Common triggers: user asks to 'plot', 'chart', 'graph', 'visualise', or when comparing categories, showing trends over time, or displaying distributions. You may also proactively suggest a chart when it adds value.
- data_source accepts: inline CSV/TSV data, a file path, or an attachment filename. For small tables you can paste the data directly. The tool auto-unpivots wide-format data when needed.
- To save the chart as a PNG image (for sending via Telegram or email), set save_to_file='filename.png'. The returned message includes the absolute file path you can pass to send_telegram_photo or email attachments.
- Chart + send: create_chart with save_to_file='chart.png', then send_telegram_photo or attach it to email.
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.
- 5d ago Changed · -1 lines f07745605583
- 1mo ago First seen · 26 lines · 14 tokens per session scan A dce97261b140
chart_guide is a skill published in the GitHub repository siddsachar/row-bot (1,627 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 271 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.
Other skills, from other repositories
rich-replies
Shape a reply for Telegram: headings, tables, folds, footnotes, formulas, pictures, slideshows, maps, and buttons (choice, link, copy, mini app) inside the text. Load before a structured answer, a comparison, a report in chat, or whenever you offer the user a choice or a link.
telegram-userbot
A skill for connecting to and working through the owner's personal Telegram account, rather than a Telegram bot. It can read personal chats, search messages, and send messages as the account owner after setup and consent.
rich-post
Send a rich Telegram post to ANOTHER allowlisted chat; not for the current chat reply or plain reports.
update-recovery
Use when an update leaves out owner customizations or they need restoring or merging.
agent-browser
A command-line browser for interactive websites and web apps. It can open pages, inspect clickable elements, fill forms, click buttons, take screenshots, sign in, and read pages whose content is loaded by JavaScript.
watch
A monitoring and briefing workflow that checks unread Telegram messages, email, failed checks, and failed scheduled units, then decides what needs the owner's attention. It can also explain actions such as creating a task, delaying a reminder, ignoring an item, or fixing a failure.