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/n8n-io/n8n/data-table-managernpx skills add n8n-io/n8n --skill data-table-managergit clone --depth 1 https://github.com/n8n-io/n8nWrote 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/n8n-io/n8n/data-table-manager)<a href="https://agentmods.dev/skills/n8n-io/n8n/data-table-manager"><img src="https://agentmods.dev/badge/skills/n8n-io/n8n/data-table-manager.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 5.1 | $0.00113 | $0.02131 |
| Opus 5 | $0.00056 | $0.01066 |
| Sonnet 5 | $0.00023 | $0.00426 |
| Haiku 4.5 | $0.00011 | $0.00213 |
Grade A, and why
data-table-manager 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 2d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago Changed · +31 lines beb000f417e2
- 6d ago First seen · 148 lines · 113 tokens per session scan A 8be15fa30bfd
data-table-manager is a skill published in the GitHub repository n8n-io/n8n (203,373 stars, last pushed yesterday), with no licence file. It adds 113 tokens to every session and 2,131 once invoked, about $0.0006 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.
Other skills, from other repositories
coss
Helps implement coss UI components correctly. Use when building UIs with coss primitives (buttons, dialogs, selects, forms, menus, tabs, inputs, toasts, etc.), migrating from shadcn/Radix to coss/Base UI, composing trigger-based overlays, or troubleshooting coss component behavior. Covers imports, accessibility…
verify
Build/launch/drive recipe for verifying Kaneo changes end-to-end on a local dev instance.
notebooklm
This skill should be used when the user wants to query their Google NotebookLM notebooks for citation-backed, source-grounded answers, or manage notebooks, sources, and Studio content (audio, report, video, infographic, presentation, data table, flashcards, quiz, mind map). It drives the @roomi-fields/notebooklm-mcp…
openclaw
Use when setting up a multi-channel personal AI assistant gateway bridging chat platforms (Telegram, Discord, WhatsApp, WeChat) with LLM backends. OpenClaw: multi-channel AI assistant gateway for unified personal AI access.
sofagent-fde
前线部署与知识工程专家。梳理企业业务流、识别 AI 节点、构建 ontology 本体数据、交付离场。 部署完成后转为持续优化模式（sustain），自动读 audit 报告趋势生成优化报告。 不写应用代码——把企业业务规则、组织架构、系统边界转译成 sofagent 的数据层和约束层。.
sofagent-audit
收到用户任务后，不要自己执行——用 Bash tool 把任务交给 DeepAgents 编排模块：.