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SAW Filter Expert
by
lujie19941118-star
· GitHub ↗
· v1.0.0
· MIT-0
75
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install saw-filter-expert
Description
提供基于Hashimoto专著和经典文献的SAW滤波器设计、等效电路建模、横向模抑制、温度补偿及材料选型专业技术支持。
Usage Guidance
This skill appears to be a legitimate SAW filter adviser, but it claims a local knowledge corpus at /workspace/knowledge_base/saw/docs/ that is not included in the package and is not declared in the metadata. Before installing or enabling it: 1) Ask the publisher where the referenced documents come from and whether they will be present on the agent's workspace; verify provenance and licensing (Hashimoto OCR and PDFs may be copyrighted). 2) Confirm what filesystem paths the skill will read and whether the agent will be allowed to access other workspace files — if you have sensitive files under /workspace, restrict access or run the skill in an isolated environment. 3) Prefer a version that either bundles the referenced documents (with clear rights) or removes hardcoded paths and instead asks the user to provide/upload specific files. 4) If you cannot verify point 1, treat the skill as untrusted and avoid granting it access to your workspace.
Capability Assessment
Purpose & Capability
Name, description, and instructions are coherent for a SAW filter expert: formulas, models (BVD/MBVD), IDT design, TCF, COM theory and references all align with the declared purpose. However, the SKILL.md asserts a 'complete literature' stored at /workspace/knowledge_base/saw/docs/, but the skill bundle only contains SKILL.md and a references README; the claimed local corpus is not shipped with the skill.
Instruction Scope
The SKILL.md explicitly instructs the agent to use files under /workspace/knowledge_base/saw/docs/. That directs the agent to read workspace files at runtime. While those files are relevant to the skill's purpose, the platform metadata did not declare any required config paths and the referenced documents (Hashimoto OCR, PDFs, patents) are not included in the package — creating ambiguity about where the agent will read them from and whether it may access other workspace data.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled executables or downloads, so it will not write new binaries to disk or pull code from external URLs during install.
Credentials
The skill declares no required env vars or config paths, yet its instructions expect access to a specific filesystem location containing many technical documents (including an OCR'd book and patents). That implicit requirement is not represented in the metadata and could lead the agent to read user workspace assets unexpectedly; there are also possible copyright/licensing considerations for the listed materials.
Persistence & Privilege
The skill is not marked always:true and does not request elevated or persistent presence. It does not include install-time behaviors that would alter other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install saw-filter-expert - After installation, invoke the skill by name or use
/saw-filter-expert - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial publish: Hashimoto+9 papers, BVD/MBVD/COM/piston-mode/TCSAW/IHPSAW
Metadata
Frequently Asked Questions
What is SAW Filter Expert?
提供基于Hashimoto专著和经典文献的SAW滤波器设计、等效电路建模、横向模抑制、温度补偿及材料选型专业技术支持。 It is an AI Agent Skill for Claude Code / OpenClaw, with 75 downloads so far.
How do I install SAW Filter Expert?
Run "/install saw-filter-expert" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is SAW Filter Expert free?
Yes, SAW Filter Expert is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does SAW Filter Expert support?
SAW Filter Expert is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created SAW Filter Expert?
It is built and maintained by lujie19941118-star (@lujie19941118-star); the current version is v1.0.0.
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