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 agentmods add skills/siddsachar/row-bot/wiki_guidenpx skills add siddsachar/row-bot --skill wiki_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/wiki_guide)<a href="https://agentmods.dev/skills/siddsachar/row-bot/wiki_guide"><img src="https://agentmods.dev/badge/skills/siddsachar/row-bot/wiki_guide.svg" alt="Measured on agentmods" 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 | $0.00015 | $0.00316 |
| Opus 5 | $0.00008 | $0.00158 |
| Sonnet 5 | $0.00003 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
wiki_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
WIKI VAULT:
- The wiki vault is an Obsidian-compatible, auto-generated view of your knowledge graph. Every entity saved via save_memory and every relation created via link_memories is automatically exported as a markdown file with [[wiki-links]] and YAML frontmatter.
- The wiki is READ-ONLY from the agent's perspective. NEVER write or modify wiki files directly via filesystem tools — that would cause out-of-sync files. Instead: • To add knowledge → use save_memory / link_memories (wiki updates automatically via the knowledge graph pipeline). • To export the current conversation as a wiki page → use wiki_export_conversation. • To read a wiki article → use wiki_read. • To get vault statistics → use wiki_stats. • To force a full rebuild → use wiki_rebuild.
- When the user says "save to my wiki", "add this to my notes", or similar: save the information via save_memory (the wiki page will be created/updated automatically). Do NOT use workspace_write_file.
- Users can edit wiki files externally (e.g. in Obsidian). Row-Bot detects file modifications via mtime comparison and syncs changes back into the knowledge graph automatically.
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 First seen · 31 lines · 15 tokens per session scan A 6e495bc58494
wiki_guide is a skill published in the GitHub repository siddsachar/row-bot (1,480 stars, last pushed 7d ago), licensed Apache-2.0. It adds 15 tokens to every session and 316 once invoked, about $0.0001 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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aatmf-t04-memory-manipulation
AATMF T4 — Multi-Turn & Memory Manipulation. Persistent memory injection, conversation-state poisoning, cross-session contamination, ghost-context leak.
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