SKILLEMALL.ai

BD doubao-chat-obtain

读取豆包(Douyin/Doubao)对话页面的完整全文内容。用于读取豆包对话帖子(如 https://www.doubao.com/thread/xxx ),解决虚拟滚动容器导致的"只能读取第一屏"问题,提取完整文本保存到本地文件。此 Skill 应在用户分享豆包对话链接或要求读取豆包页面时触发。豆包页面采用虚拟滚动,内容初始不可见,必须通过 JavaScript 直接操作 DOM 元素提取。

ClawHub Agent Skills author: ZenYang-X v1.0.0 MIT-0 3 files body ≈ 386 tokens Open the sourceclawhub.ai analyzed 2 d ago

读取豆包(Douyin/Doubao)对话页面的完整全文内容。用于读取豆包对话帖子(如 https://www.doubao.com/thread/xxx ),解决虚拟滚动容器导致的"只能读取第一屏"问题,提取完整文本保存到本地文件。此 Skill…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "agent_created"
  • note frontmatter-key unknown frontmatter key "visibility"

Process rating: all ten parameters 49/100

  • 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 (doubao-chat-obtain) differs from the folder (doubaochatobtain)
  • 100Tools and files. No external tools needed
  • 100Steps. 8 steps
  • 100Execution cost. Instruction body is 386 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
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 199: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (5 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This skill does what it says: it extracts Doubao chat text through browser automation and saves it locally, with no evidence of hidden exfiltration or destructive behavior.
LLM: benign (high) · VirusTotal: · 28 May 2026