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 vfarcic/dot-ai --skill dot-ai-manageknowledgegit clone --depth 1 https://github.com/vfarcic/dot-aiWrote 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/vfarcic/dot-ai/dot-ai-manageknowledge)<a href="https://agentmods.dev/skills/vfarcic/dot-ai/dot-ai-manageknowledge"><img src="https://agentmods.dev/badge/skills/vfarcic/dot-ai/dot-ai-manageknowledge.svg" alt="Measured on agentmods" 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 | $0.00084 | $0.00195 |
| Opus 5 | $0.00042 | $0.00097 |
| Sonnet 5 | $0.00017 | $0.00039 |
| Haiku 4.5 | $0.00008 | $0.00019 |
Grade A, and why
dot-ai-manageKnowledge 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 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.
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
dot-ai manageKnowledge
Manage the knowledge base: ingest documents, search with natural language, or delete chunks. Use "ingest" to store organizational documentation, "search" to find relevant content semantically, or "deleteByUri" to remove all chunks for a document. TIP: For complex questions, you can call search multiple times with different phrasings to gather comprehensive information before synthesizing your answer.
Usage
dot-ai manageKnowledge
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 First seen · 16 lines · 84 tokens per session scan A 9aec3bd11e27
dot-ai-manageKnowledge is a skill published in the GitHub repository vfarcic/dot-ai (336 stars, last pushed today), licensed MIT. It adds 84 tokens to every session and 195 once invoked, about $0.0004 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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