AD opencli
Use OpenCLI to fetch data from websites like Twitter, Reddit, Bilibili, Zhihu, Xiaohongshu, YouTube, etc. Triggers: opencli, social media, twitter, reddit, bilibili, zhihu, xiaohongshu, youtube, weibo, hackernews, fetch website data.
As a process D 40/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ReferenceYouTubeMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
How to improve
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
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Use OpenCLI to fetch data from websites like Twitter, Reddit, Bili… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - note
frontmatter-keyunknown frontmatter key "config"
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 (opencli) differs from the folder (opencli-skills)
- 60Tools and files. Uses tools (web, node) that frontmatter does not declare
- 70Execution cost. Instruction body is 4446 tokens
- 100Steps. 16 steps
- 100Running it twice. Mutating operations check current state
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
- +2Single-language instructions
- +3Description length 233: enough signal without eating the budget
- +4Structure: 47 headings
- +3Step-by-step instructions: 16 items
- +4Has examples (2 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.
External checks
ClawHub: suspicious
This skill is presented as website data fetching, but it can also act through logged-in browser and desktop app sessions to post, message, delete, write, and change account state.
LLM: suspicious (high) · VirusTotal: · 29 May 2026