DD global-reg-connector
把 27 份全球医疗器械法规枢纽知识库（NMPA/FDA/MDR/PMDA/拉美/东南亚）封装成本地只读 MCP Server。 开箱即用：装好依赖即可被 WorkBuddy/Agent/小艺 Skill 调用，检索法规返回片段+官方原文链接+待核验标注。 零网络外发、零凭据、纯本地检索，适合法规工程师日常查证与产品注册路径速查。
把 27 份全球医疗器械法规枢纽知识库（NMPA/FDA/MDR/PMDA/拉美/东南亚）封装成本地只读 MCP Server。 开箱即用：装好依赖即可被 WorkBuddy/Agent/小艺 Skill 调用，检索法规返回片段+官方原文链接+待核验标注。…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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.
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
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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 · 7
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high Dangerous commands
cmd-pipe-to-shell安全审计报告.md:41Downloads and executes remote code from an unrecognised host (pipe to shell)- 不适用: 包内无自动下载并执行远程脚本的模式（无 curl|bash / wget|sh 等）。
Medium and low: 6
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medium Obfuscation
obf-base64-blobreferences/GMP质量体系与验证枢纽.md:62Long 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
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medium Obfuscation
obf-base64-blobreferences/上市后监管枢纽.md:62Long 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 |
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medium Obfuscation
obf-base64-blobreferences/变更延续管理枢纽.md:35Long 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)
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medium Obfuscation
obf-base64-blobreferences/变更延续管理枢纽.md:72Long 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 |
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medium Obfuscation
obf-base64-blobreferences/审评核查获证枢纽.md:66Long 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 |
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medium Obfuscation
obf-base64-blobreferences/注册工程师资料枢纽.md:42Long 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: 38. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 166 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "display_name" - note
frontmatter-keyunknown frontmatter key "description_zh" - note
frontmatter-keyunknown frontmatter key "description_en" - note
frontmatter-keyunknown frontmatter key "xiaping_category"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 13 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 931 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 166: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (1 of 28)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.