BC socialdatax-weibo
用于微博数据助手、微博热搜、微博内容研究、帖子详情、评论分析、评论回复观察、转赞互动、创作者资料和创作者内容列表。覆盖 Weibo post research,来自 SocialDataX 社媒数据助手。
用于微博数据助手、微博热搜、微博内容研究、帖子详情、评论分析、评论回复观察、转赞互动、创作者资料和创作者内容列表。覆盖 Weibo post research,来自 SocialDataX 社媒数据助手。
As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting
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: 2. 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 "source_client" - note
frontmatter-keyunknown frontmatter key "source_platform" - note
frontmatter-keyunknown frontmatter key "source_skill"
Process rating: all ten parameters 64/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
- 85Steps. 19 steps, 1 vague phrases
- 100When it triggers. States when to use and when not to
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1621 tokens
- 100Running it twice. No mutating operations
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
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 102: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 6 headings
- +3Step-by-step instructions: 19 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: clean
This skill is a disclosed, read-only Weibo data lookup helper that uses a SocialDataX API key and Node CLI package for its stated purpose.
LLM: benign (high) · VirusTotal: · 22 Aug 2026