BB monid
How to use the Monid CLI to execute data scraping and collection tasks from social media platforms, e-commerce sites, and search engines. Use this skill when the user needs to scrape data from Twitter/X, Instagram, TikTok, Facebook, LinkedIn, YouTube, Amazon, or Google Maps. This skill provides complete workflow guidance for authentication, task creation, price quotes, and execution monitoring. ALWAYS use this skill when the user mentions scraping, collecting, or extracting data from supported platforms, even if they don't explicitly say "Monid". Use this for queries like "find tweets about X", "scrape Instagram posts", "get Amazon product reviews", or any data collection from the supported platforms.
How to use the Monid CLI to execute data scraping and collection tasks from social media platforms, e-commerce sites, and search engines.
As a process B 71/100 · Nearly there — weak spots: progress reporting
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
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
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 6
✓ No critical or high findings
Medium and low: 6
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medium Dangerous commands
cmd-pipe-to-shell-known-hostreferences/capabilities.md:10Pipe-to-shell installer from a well-known host (still executes remote code)curl -fsSL https://raw.githubusercontent.com/FeiyouG/monid-client/main/install.sh | bash
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medium Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:26Pipe-to-shell installer from a well-known host (still executes remote code)curl -fsSL https://raw.githubusercontent.com/FeiyouG/monid-client/main/install.sh | bash
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medium Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:234Pipe-to-shell installer from a well-known host (still executes remote code)curl -fsSL https://raw.githubusercontent.com/FeiyouG/monid-client/main/install.sh | bash
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medium Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:360Pipe-to-shell installer from a well-known host (still executes remote code)curl -fsSL https://raw.githubusercontent.com/FeiyouG/monid-client/main/install.sh | bash
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low Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:681Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)- NO → Guide through installation: `curl -fsSL https://raw.githubusercontent.com/FeiyouG/monid-client/main/install.sh | bash`
quoted -
low Dangerous commands
cmd-pipe-to-shell-known-hostSKILL.md:709Pipe-to-shell installer from a well-known host (still executes remote code) (quoted — discussed, not commanded)1. **Install CLI** (one-time): `curl -fsSL https://raw.githubusercontent.com/FeiyouG/monid-client/main/install.sh | bash`
quoted
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 5651 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 71/100
- 0Progress reporting. Says nothing while it works
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Steps. 184 steps, 4 vague phrases
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 70Execution cost. Instruction body is 5651 tokens
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low 12 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
- +4Description does not say when NOT to use the skill (false activations)
- -41 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +5Description quotes 3 example trigger phrases
- +3Description length 710: enough signal without eating the budget
- +4Structure: 44 headings
- +3Step-by-step instructions: 184 items
- +3Output format is stated explicitly
- +4Has examples (18 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.