SKILLEMALL.ai
GitHub ↗ RU Sign in

BC browserbase-sessions

Create and manage persistent Browserbase cloud browser sessions with authentication persistence. Use when you need to automate browsers, maintain logged-in sessions across interactions, scrape authenticated pages, or manage cloud browser instances.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 10 files body ≈ 5 858 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Create and manage persistent Browserbase cloud browser sessions with authentication persistence.

As a process C 52/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorGitHubPlaywrightSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
78
Run on models
none yet
Process rating
C
52/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:30
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…9yk+a/ENpF…xt7/Yekaj1w==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:48
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…EWB+cECR…bWW+UtLc…FeQ/w==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:96
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…5Ks+JE32…vLQ==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:118
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…tRe+kW5v…mNr/clst…Idg==}
  • low Secrets in code secret-high-entropy-token pnpm-lock.yaml:157
    High-entropy token-like string (may be an id, hash or a credential)
    resolution: {integrity: sha5…Dze+OqRH…afz+FXcl…FH6/8yiC…80C/SBVxQ==}

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5858 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 52/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 12 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 5858 tokens
  • 100Steps. 68 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 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)
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 248: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 68 items
  • +3Output format is stated explicitly
  • +4Has examples (48 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.