DC patent-disclosure-cn
技术交底书生成。当用户要写技术交底书、专利交底、把研发材料或技术方案整理成交底书、挖专利点、只有一个想法想看看能往哪几个方向申请，或说「帮我写个交底书」「这个能写成专利吗」时使用。无需 API Key，首次使用自动领取免费试用。Use when the user wants to turn R&D materials or an idea into a patent technical disclosure document (Word). Works without an API key: a free trial is claimed automatically on first use.
技术交底书生成。当用户要写技术交底书、专利交底、把研发材料或技术方案整理成交底书、挖专利点、只有一个想法想看看能往哪几个方向申请，或说「帮我写个交底书」「这个能写成专利吗」时使用。无需 API Key，首次使用自动领取免费试用。Use when the user wants to turn R&D…
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
How to improve
- 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
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medium Exfiltration
net-credential-usereferences/faq.md:74Credential used in a network call (verify the destination is the intended service)curl -s -H "Authorization: Bearer $PATENTMAX_API_KEY" \
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medium Exfiltration
net-credential-usereferences/faq.md:78Credential used in a network call (verify the destination is the intended service)curl -s -H "Authorization: Bearer $PATENTMAX_API_KEY" \
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medium Exfiltration
net-credential-usereferences/faq.md:82Credential used in a network call (verify the destination is the intended service)curl -s -H "Authorization: Bearer $PATENTMAX_API_KEY" -o 技术交底书.docx \
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medium Exfiltration
net-credential-usereferences/faq.md:84Credential used in a network call (verify the destination is the intended service)curl -s -H "Authorization: Bearer $PATENTMAX_API_KEY" -o 核对说明.docx \
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medium Exfiltration
net-redirectable-api-keyscripts/patentmax_disclosure.py:45Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
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medium Broad scope
meta-broad-allowed-toolsSKILL.md:1Broad tool permissions pre-approved: Bashallowed-tools: Bash Read Write Glob
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: 技术交底书生成。当用户要写技术交底书、专利交底、把研发材料或技术方案整理成交底书、挖专利点、只有一个想法想看看能往哪几个方向申请，或… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
Process rating: all ten parameters 57/100
- 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
- 30Running it twice. 3 mutating operations with no state check
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 9 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1022 tokens
- low 10 top-level sections: this looks like several domains in one skill
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
- +1No license
- +2Single-language instructions
- +3Description length 300: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.