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医疗器械注册法规检索 MCP 连接器，覆盖 MDR/CE、FDA 510(k)、UDI、STED、分类界定、全球注册路径等场景；agent 通过 MCP 本地只读检索 NMPA/FDA/MDR/PMDA 等 27 枢纽法规知识库，无需联网外发、无需凭据。

ClawHub Hermes author: zhaoxinghua09-cell v1.0.0 MIT-0 36 files body ≈ 566 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

医疗器械注册法规检索 MCP 连接器，覆盖 MDR/CE、FDA 510(k)、UDI、STED、分类界定、全球注册路径等场景；agent 通过 MCP 本地只读检索 NMPA/FDA/MDR/PMDA 等 27 枢纽法规知识库，无需联网外发、无需凭据。

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent Cursor
JSON
Technical rating
C
66/100
safety, quality, tests
Safety 60%
70
Quality 40%
60
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Obfuscation medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain invisible characters, encoded commands or comments hidden from readers but visible to the model. What you read differs from what the agent sees.

For the author

Remove invisible characters (they usually sneak in through copy-paste) and encoded strings: no catalog will pass them. Instructions for the model must be readable by a human too.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 6

✓ No critical or high findings

Medium and low: 6
  • medium Obfuscation obf-base64-blob references/GMP质量体系与验证枢纽.md:62
    Long base64-looking blob
    | FDA 再处理质量影响因素 | [fda.gov Factors Affecting Quality of Reprocessing](https://www.fda.gov/MedicalDevices/ProductsandMedicalProcedures/ReprocessingofReusableMedicalDevices/ucm4…htm) — 复用器械再处理质量影响因
  • medium Obfuscation obf-base64-blob references/上市后监管枢纽.md:62
    Long base64-looking blob
    | 2018 年第 1 号令全文（PDF） | [samr.gov.cn 不良事件监测和再评价管理办法 PDF](https://www.samr.gov.cn/cms_files/filemanager/samr/www/samrnew/samrgkml/nsjg/bgt/202106/W020…pdf) — 2018 年第 1 号令 |
  • medium Obfuscation obf-base64-blob references/变更延续管理枢纽.md:35
    Long base64-looking blob
    - [47 号令全文 PDF（市场监管总局）](https://www.samr.gov.cn/cms_files/filemanager/samr/www/samrnew/samrgkml/nsjg/fgs/202108/W020…pdf)
  • medium Obfuscation obf-base64-blob references/变更延续管理枢纽.md:72
    Long base64-looking blob
    | 47 号令全文 | [SAMR PDF](https://www.samr.gov.cn/cms_files/filemanager/samr/www/samrnew/samrgkml/nsjg/fgs/202108/W020…pdf) | 变更/延续注册章节依据 |
  • medium Obfuscation obf-base64-blob references/审评核查获证枢纽.md:66
    Long base64-looking blob
    | 生产监督管理办法（SAMR） | https://www.samr.gov.cn/cms_files/filemanager/samr/www/samrnew/samrgkml/nsjg/fgs/202203/W020…pdf |
  • medium Obfuscation obf-base64-blob references/注册工程师资料枢纽.md:42
    Long base64-looking blob
    - **医疗器械生产监督管理办法 ｜ 生产许可/核查** 【II III】 ⅡⅢ规章[SAMR 公开](https://www.samr.gov.cn/cms_files/filemanager/samr/www/samrnew/samrgkml/nsjg/fgs/202203/W020…pdf)

Files scanned: 36. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 127 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "title"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "display_name"
  • note frontmatter-key unknown frontmatter key "xiaping_category"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 566 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -428 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +3Description length 127: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This skill is a local read-only MCP search connector for medical-device regulatory reference files, with no artifact-backed signs of credential access, network exfiltration, destructive behavior, or hidden persistence.
LLM: benign (high) · VirusTotal: · 29 Aug 2026