SKILLEMALL.ai
GitHub ↗ RU Sign in

BC web-browser

Environment-aware browser operations. Detects wmux/cmux/tmux and routes to backend. Topics — ui-test (snapshots, click/fill, shadow DOM), credential-issue (login via backend -> wait sign-in -> issue/refresh token/secret). Use when: "browser", "web-browser", "ui-test", "credential-issue", "playwright", "chrome-devtools", "UI check", "browser test", "screen verify", "Playwright test", "shadow DOM cascade", "::part not working", "CDP trace", "issue token", "service credential", "open login screen", "PAT refresh", "scope expansion", "device-code auth", "browser device-code", "GitHub social login".

ClawHub Agent Skills author: es6kr v0.2.10 MIT-0 8 files · 1 script body ≈ 4 818 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Environment-aware browser operations.

As a process C 56/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

AnalyzerPlaywrightGitHubDiscordSoftware developmenttype 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
94/100
safety, quality, tests
Safety 60%
99
Quality 40%
87
Run on models
none yet
Process rating
C
56/100
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

    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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Exfiltration read-dotenv credential-issue.md:212
      Reads a .env file (detector / deny-list definition; documentation table row)
      | Anthropic / OpenAI API key | **Vault** or `.env` (chmod 600, gitignored) | `vault kv put secret/anthropic key=...` or `echo ANTHROPIC_API_KEY=... >> ~/.env` | `vault kv get` or `source ~/.env` |
      detectortable

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note edit-residue the text marks something as outdated (lines 195): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 56/100

    • 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
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 70Execution cost. Instruction body is 4818 tokens
    • 85Steps. 23 steps, 2 vague phrases
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +5Description quotes 21 example trigger phrases
    • +3Description length 600: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 23 items
    • +4Has examples (4 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: suspicious
    The skill is a coherent browser automation tool, but it also gives agents broad power to capture, store, reuse, and revoke credentials, with some unsafe defaults users should review carefully.
    LLM: suspicious (high) · 6 Oct 2026