AD caj2pdf-offline
将知网 CAJ / KDH / NH 文献高保真转换为 PDF（保留文字层可选中 + 目录书签）。当用户要转换 .caj 文件、说"caj转pdf""知网文献转pdf""把caj转成pdf""转换知网文献"使用时。技能为自包含离线版：已内置修复好的 caj2pdf 源码 + 闭源解码 DLL（base64 内嵌、运行时提取）+ PyMuPDF 修复，AI 可一键批量代转；失败文件给全球学术快报官方无损兜底。
将知网 CAJ / KDH / NH 文献高保真转换为 PDF（保留文字层可选中 + 目录书签）。当用户要转换 .caj 文件、说"caj转pdf""知网文献转pdf""把caj转成pdf""转换知网文献"使用时。技能为自包含离线版：已内置修复好的 caj2pdf 源码 + 闭源解码 DLL（base64…
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Secrets in code
secret-high-entropy-tokenscripts/caj2pdf-restructured/caj2pdf/install.py:30High-entropy token-like string (may be an id, hash or a credential)# https://support.microsoft.com/zh-cn/topic/wd2000-%E5%A6%82%E4%BD%95%E8%B0%83%E7%94%A8-s…pi-%E5%87%BD%E6%95%B0-8…ad7
-
low Obfuscation
obf-hex-escape-chainscripts/caj2pdf-restructured/caj2pdf/pdfwutils.py:1510Escaped/char-code string obfuscation (quoted — discussed, not commanded)if rawdata[:12] != b"\x00\x00\x00\x0C\x6A\x50\x20\x20\x0D\x0A\x87\x0A":
quoted
Files scanned: 22. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName"
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 37 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 915 tokens
- low 11 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
- +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
- +5Description quotes 4 example trigger phrases
- +3Description length 205: enough signal without eating the budget
- +4Structure: 12 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (1 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.