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BB generated-search-google-for-linkedin-and-locate-the-offici-61f2c70c

Search Google for LinkedIn in Chrome and identify the official LinkedIn log in or sign up result.

ClawHub Agent Skills author: luckill v1.0.0 MIT-0 4 files body ≈ 863 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Search Google for LinkedIn in Chrome and identify the official LinkedIn log in or sign up result.

As a process B 68/100 · Nearly there — weak spots: result and completion, consistency

GeneratorData and analyticstype 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
80/100
safety, quality, tests
Safety 60%
90
Quality 40%
66
Run on models
none yet
Process rating
B
68/100
Nearly there
Result and completion w 14
40
Consistency w 8
40
Failures and branches w 10
50
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 · 10

    ✓ No critical or high findings

    Medium and low: 10
    • low Secrets in code secret-high-entropy-token workflow.json:23
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "label": "2026…001"
      quoted
    • low Secrets in code secret-high-entropy-token workflow.json:47
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "label": "2026…001"
      quoted
    • low Secrets in code secret-high-entropy-token workflow.json:69
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "label": "2026…001"
      quoted
    • low Secrets in code secret-high-entropy-token workflow.json:93
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "label": "2026…001"
      quoted
    • low Secrets in code secret-high-entropy-token workflow.json:115
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "label": "2026…001"
      quoted
    • low Secrets in code secret-high-entropy-token WORKFLOW.md:8
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      source_episode_id: "2026…001"
      detector
    • low Secrets in code secret-high-entropy-token WORKFLOW.md:24
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - Episode: `2026…001`
      quoted
    • low Secrets in code secret-high-entropy-token WORKFLOW.md:54
      High-entropy token-like string (may be an id, hash or a credential)
      - 2026…001 — `epis…001`
    • low Secrets in code secret-high-entropy-token WORKFLOW.md:67
      High-entropy token-like string (may be an id, hash or a credential)
      - 2026…001 — `epis…001`
    • low Secrets in code secret-high-entropy-token WORKFLOW.md:82
      High-entropy token-like string (may be an id, hash or a credential)
      - 2026…001 — `epis…001`

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • error name-long name is longer than 64 chars

    Process rating: all ten parameters 68/100

    • 40Result and completion. Does not say what the result is
    • 40Consistency. Frontmatter name (generated-search-google-for-linkedin-and-locate-the-offici-61f2c70c) differs from the folder (search-google-for-linkedin-and-locate-the-offici-61f2c70c)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 26 steps
    • 100Execution cost. Instruction body is 863 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 97: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 26 items
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

    External checks

    ClawHub: clean
    This skill only searches Google for LinkedIn and identifies a visible official linkedin.com result without signing in, reading credentials, or saving anything.
    LLM: benign (high) · VirusTotal: · 18 Jul 2026