BC byted-las-pdf-parse-doubao
Parses and reads PDF documents into structured Markdown text using Volcengine LAS Doubao AI models. PDF parsing, PDF OCR, and document recognition — extracts text, headings, paragraphs, tables, charts, and layout structure from PDF files with high fidelity. Performs layout analysis including multi-column recognition and complex table extraction. Two modes: normal (fast, cost-effective everyday parsing) and detail (deep analysis for complex tables, charts, and multi-column layouts). Converts PDF to Markdown, PDF to text, and structured data. Digitizes scanned PDF documents and scanned images via OCR. Supports TOS paths, HTTP URLs, and local file upload. Async submit-poll workflow with batch processing support. Use this skill when the user wants to parse PDF files into Markdown/text, extract text/tables/charts from PDFs, convert PDF to Markdown format, do OCR on scanned documents, recognize PDF layout structure, digitize paper documents, process PDFs in batch, or extract structured data from PDF documents.
As a process C 59/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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.
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.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 1
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high Dangerous commands
cmd-install-from-urlscripts/env_init.sh:41Installs a package from an untrusted URL / archivepip install --quiet --upgrade https://las-ai-cn-beijing-online.tos-cn-beijing.volces.com/operator_cards_serving/public/skills/sdk/las_…whl
Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 59/100
- 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
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 33 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 932 tokens
- 100Running it twice. No mutating operations
- medium 3 test cases, all positive: not one "should refuse" or "should ask first"
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)
- +3Description length 1019: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -33 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +4Structure: 12 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.