BB clearweb
Complete web access for AI agents via Bright Data CLI. Replaces native web_fetch, web_search, and browser tools with reliable, unblocked access to the entire web. USE FOR: Any web task — searching Google/Bing/Yandex, reading any webpage, extracting structured data from Amazon/LinkedIn/Instagram/TikTok/YouTube/Reddit/Facebook and 40+ platforms, taking screenshots, geo-targeted browsing, researching topics, monitoring competitors, gathering leads, checking prices, reading documentation, or any task that needs internet access. Handles JavaScript rendering, CAPTCHA solving, bot detection bypass, and anti-scraping measures automatically. One-time login, zero ongoing configuration. Works in any terminal-based AI agent (OpenClaw, Claude Code, Cline, Aider, or any agent with shell access).
As a process B 67/100 · Nearly there — weak spots: when it triggers, progress reporting
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
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
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- 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 · 3
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high Dangerous commands
cmd-pipe-to-shellSKILL.md:38Downloads and executes remote code from an unrecognised host (pipe to shell)curl -fsSL https://cli.brightdata.com/install.sh | bash
Medium and low: 2
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medium Dangerous commands
cmd-pipe-to-shellreferences/troubleshooting.md:9Downloads and executes remote code from an unrecognised host (pipe to shell) (documentation table row)| `bdata: command not found` | Install: `curl -fsSL https://cli.brightdata.com/install.sh \| bash` or `npm i -g @brightdata/cli` |
table -
medium Dangerous commands
cmd-pipe-to-shellSKILL.md:360Downloads and executes remote code from an unrecognised host (pipe to shell) (documentation table row)| CLI not found | `curl -fsSL https://cli.brightdata.com/install.sh \| bash` |
table
Files scanned: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 67/100
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 6 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2677 tokens
- 100Running it twice. Mutating operations check current state
- low 11 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (8 tags): a typed call is more reliable
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)
- +1No license
- +2Single-language instructions
- +3Description length 794: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 6 items
- +3Output format is stated explicitly
- +4Has examples (18 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.