BD Python 爬虫架构师
资深Python爬虫与数据工程专家。当用户需要设计网络爬虫系统、构建数据采集管道、设计数据库模型(SQLAlchemy ORM)、实现反爬虫策略（代理池、断点续传、重试机制）、异步并发编程(asyncio/aiohttp)、或进行数据清洗时，使用此技能。关键词：爬虫、crawler、scraper、数据采集、代理池、断点续传、SQLAlchemy、aiohttp
As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ReferenceSoftware developmentInfrastructuretype 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 40/100
- 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 (Python 爬虫架构师) differs from the folder (python-crawler-architect)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 70Execution cost. Instruction body is 4704 tokens
- 100Steps. 66 steps
- 100Running it twice. No mutating operations
- 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
- +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
- -5TODO / placeholder text left in the skill
- +1No license
- +2Single-language instructions
- +3Description length 182: enough signal without eating the budget
- +4Structure: 35 headings
- +3Step-by-step instructions: 66 items
- +4Has examples (12 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.
External checks
ClawHub: clean
This is a crawler-design instruction skill with sensitive but disclosed anti-blocking guidance and no executable installer or hidden behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026