AD pdf-processor
一站式 PDF 处理技能。支持 PDF 文本/图片/表格提取、格式转换（PDF↔Word/Excel）、合并拆分、OCR 识别、批量处理、水印添加、加密解密、压缩等。使用场景： (1) 从 PDF 提取文本内容进行数据分析 (2) 将 PDF 转换为 Word/Excel 方便编辑 (3) 合并或拆分 PDF 文件 (4) 对扫描件进行 OCR 识别提取文字 (5) 批量处理多个 PDF 文件 (6) 添加水印或加密保护 PDF (7) 压缩 PDF 减小文件体积
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 0
✓ No critical or high findings
Files scanned: 16. 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")
Process rating: all ten parameters 41/100
- 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
- 40Consistency. Frontmatter name (pdf-processor) differs from the folder (free-pdf-processor)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 29 steps
- 100Execution cost. Instruction body is 654 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (14 tags): a typed call is more reliable
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 234: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (8 code blocks)
- +3All 13 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.
External checks
ClawHub: suspicious
The skill is a coherent local PDF tool, but its encryption script exposes the PDF password in console output and the dependency setup has avoidable parser supply-chain risk.
LLM: suspicious (high) · VirusTotal: · 29 May 2026