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-solution-enginegit 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-solution-engine)<a href="https://agentmods.dev/skills/patsnap/mcp/patsnap-solution-engine"><img src="https://agentmods.dev/badge/skills/patsnap/mcp/patsnap-solution-engine.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 | $0.00064 | $0.00744 |
| Opus 5 | $0.00032 | $0.00372 |
| Sonnet 5 | $0.00013 | $0.00149 |
| Haiku 4.5 | $0.00006 | $0.00074 |
Grade A, and why
patsnap-solution-engine 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.
How it starts
The opening of the file, as written. The whole thing — 73 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
TRIZ Concept Solution Engine
This skill connects your AI agent to Patsnap's TRIZ Concept Solution Engine MCP server.
Prerequisites
{
"mcpServers": {
"patsnap_solution_engine": {
"url": "https://connect.zhihuiya.com/c18800/mcp?apikey=YOUR_API_KEY",
"type": "streamableHttp"
}
}
}
For the full tool schema, refer to: https://open.zhihuiya.com/marketplace/mcp-servers/patsnap-solution-engine
Instructions for AI Agents
Choose one workflow
- Innovation:
run_triz_innovation_task→fetch_triz_innovation_task_stream→fetch_triz_innovation_solution_detail. - Cost reduction:
run_triz_reduction_task→fetch_triz_reduction_task_stream→fetch_triz_reduction_solution_detail.
Do not mix innovation and reduction tool families for one task. Preserve the returned job_id; after candidates arrive, preserve the selected idea_id.
Prepare the input
The start tools require user_input. Include the current design, desired outcome, constraints, unacceptable trade-offs, and known function or cost information. The CN endpoint accepts at most 1,000 characters; non-CN environments may allow only 500.
Track asynchronous execution
Poll only the stream tool matching the start tool until candidates or a terminal failure are returned. A complete task normally takes 5–10 minutes and may take longer with complex or incomplete input. Intermediate selection points run automatically using the highest-priority option; do not represent them as user-approved choices.
Evaluate and expand candidates
Compare candidate concepts using feasibility, expected impact, implementation complexity, risk, and the user's constraints. Retrieve details only after an idea_id is selected. Separate service output from your own assessment and state unresolved engineering assumptions.
For reduction tasks, retain returned cost analysis, trimming analysis, DFMA findings, and benefit estimates. Treat estimates as hypotheses until checked against BOM, process, quality, and supplier data.
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.
- 8d ago First seen · 73 lines · 64 tokens per session scan A af5447e13d4c
patsnap-solution-engine is a skill published in the GitHub repository patsnap/mcp (111 stars, last pushed 18d ago), licensed Apache-2.0. It adds 64 tokens to every session and 744 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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