BD pdf-image-text-extractor
从图片或 PDF 文档中识别并提取文字内容，支持多种图片格式和 PDF 文件，自动判断是否包含文字并保留原始格式输出结构化结果；v2.1 采用零额外依赖方案：扫描版 PDF 自动渲染为图片交由 AI 视觉识别（无需 tesseract/rapidocr）、表格用 pymupdf 内置 find_tables 结构化提取（无需 pdfplumber）、批量处理目录（PDF+图片一次性提取）；当用户需要从图片或 PDF 提取文字、进行 OCR 识别、处理含文字的文档、提取 PDF 表格、批量处理文件夹或转换为可编辑文本时使用。该skill能力来自RedFoxHub，官网：https://redfox.hk/skills。
As a process D 41/100 · 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 · 0
✓ No critical or high findings
Files scanned: 8. 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" - note
frontmatter-keyunknown frontmatter key "dependency"
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-image-text-extractor) differs from the folder (image-text-extractor)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 116 steps
- 100Execution cost. Instruction body is 1948 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
- +1No license
- +2Single-language instructions
- +3Description length 312: enough signal without eating the budget
- +4Structure: 28 headings
- +3Step-by-step instructions: 116 items
- +4Has examples (7 code blocks)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.