SKILLEMALL.ai

BC medical-device-cybersecurity

医疗器械网络安全合规实操手册——覆盖全球三大市场监管要求(美国 FDA 2026 网络安全强制:SBOM 软件物料清单/漏洞管理/渗透测试,缺失即不予受理 RTA;欧盟 MDR Annex I 17.2 + NIS2 + Cyber Resilience Act 2027;中国 NMPA 网络安全注册审查指导原则)、SBOM 构建实操(字段/更新/供应链)、漏洞管理与协调披露(CVSS 分级/修复时限)、网络安全体系与文档(ISO/IEC 81001-5-1、与 ISO 13485/62304 联动、上市后监控),含三地要求对照与申报文档清单,附零依赖本地工具一键查询区域要求、生成检查清单与 SBOM 字段模板。面向医械法规、研发与信息安全负责人,与 AI 医疗器械合规互补。

ClawHub Hermes author: zhaoxinghua09-cell v1.0.0 MIT-0 18 files body ≈ 603 tokens Open the sourceclawhub.ai analyzed 4 d ago

医疗器械网络安全合规实操手册——覆盖全球三大市场监管要求(美国 FDA 2026 网络安全强制:SBOM 软件物料清单/漏洞管理/渗透测试,缺失即不予受理 RTA;欧盟 MDR Annex I 17.2 + NIS2 + Cyber Resilience Act 2027;中国 NMPA…

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

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
99
Quality 40%
58
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

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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security SKILL.md:17
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    description_en: A hands-on compliance playbook for medical device cybersecurity — covering global regulatory requirements (US FDA mandatory cybersecurity since 2026: SBOM/vulnerability management/pene

Files scanned: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 16, column 17: description_en: A hands-on compliance playbook for medical device cybersecurity… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 342 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 "display_name"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "title"
  • note frontmatter-key unknown frontmatter key "description_en"

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 603 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
  • +2Single-language instructions
  • +3Description length 342: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.

External checks

ClawHub: clean
This skill is a local compliance helper with no network, credential, or privileged behavior; its bundled audit report has a package-name mismatch but that does not create runtime risk.
LLM: benign (high) · VirusTotal: · 27 Aug 2026