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 patsnap/mcp --skill patsnap-workspacegit clone --depth 1 https://github.com/patsnap/mcpWrote 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/patsnap/mcp/patsnap-workspace)<a href="https://agentmods.dev/skills/patsnap/mcp/patsnap-workspace"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-workspace/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/patsnap/mcp/patsnap-workspace"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-workspace.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 | $0.00055 | $0.00737 |
| Opus 5 | $0.00028 | $0.00368 |
| Sonnet 5 | $0.00011 | $0.00147 |
| Haiku 4.5 | $0.00006 | $0.00074 |
Grade A, and why
patsnap-workspace 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Setup
Get your API key at https://open.zhihuiya.com
Workspace Patent Collection Reader
This skill connects your AI agent to Patsnap's Workspace MCP server.
Prerequisites
{
"mcpServers": {
"patsnap_workspace": {
"url": "https://connect.zhihuiya.com/48a232/logic-mcp?apikey=YOUR_API_KEY",
"type": "streamableHttp"
}
}
}
For the full tool schema, refer to: https://open.zhihuiya.com/marketplace/mcp-servers/patsnap-workspace
Instructions for AI Agents
Follow the identifier chain
- Call
list_workspace_spaces, optionally filteringtypebyall,self,shared, orpublic, or usingsearch_name. - Use the returned
space_idwithlist_workspace_folders; optionally search folder names. - Call
list_workspace_fields(space_id)when fields, AI labels, custom fields, or annotations are involved. - Call
get_workspace_patents(space_id, folder_id, ...)for folder patents. - Call
get_workspace_annotations(space_id, folder_id, ...)for AI-label/custom-field values and optional comments.
Never guess space_id, folder_id, or field_ids. When multiple names match, present candidates before reading a large collection.
Respect tool limits
get_workspace_patents supports keyword, limit, and zero-based offset. It does not support filters, sorting, ranges, custom-field filters, or AI-label filters. If you post-filter a manageable returned set, label that as local processing rather than a server-side query.
get_workspace_annotations accepts optional patent_ids or publication numbers, with a maximum of 200, optional field_ids, include_comments, and pagination controls. Empty annotations mean no stored value, not a negative classification.
Report scope
Preserve workspace and folder names with their IDs, state whether results are complete or sampled, cite publication numbers or returned IDs, and distinguish comments from structured field values. The MCP is read-oriented; do not imply it edits workspace content.
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.
- 10d ago First seen · 72 lines · 55 tokens per session scan A faa4ba9613b5
patsnap-workspace is a skill published in the GitHub repository patsnap/mcp (111 stars, last pushed 21d ago), licensed Apache-2.0. It adds 55 tokens to every session and 737 once invoked, about $0.0003 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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