SKILLEMALL.ai
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DC tavily-search

Search the public web through Tavily and return structured results with URLs and snippets. Use when an agent needs current information, source discovery, link lookup, news or finance search, or a fallback for unavailable built-in web search. Do not use for private or authenticated pages.

Not recommendedlow grade D
ClawHub Agent Skills author: Xiaoran Li v0.2.1 MIT-0 3 files body ≈ 607 tokens Open the sourceclawhub.ai↗ analyzed 12 h ago

Search the public web through Tavily and return structured results with URLs and snippets.

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency

ProcedureAI 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
D
59/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
47
No improvement model run: 37% with skill · 37% without
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Consistency w 8
40
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 · 0

    ✓ No critical or high findings

    Files scanned: 3. 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 63/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 40Consistency. Frontmatter name (tavily-search) differs from the folder (openclaw-tavily-search)
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 100Tools and files. No external tools needed
    • 100Steps. 8 steps
    • 100Execution cost. Instruction body is 607 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 288: enough signal without eating the budget
    • +4Structure: 5 headings
    • +3Step-by-step instructions: 8 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    Model run · 7 Sept 2026

    With the skill
    37%
    +0 pp vs baseline
    Without the skill (baseline)
    37%
    triggers: +100% / −100%

    No improvement Pass rate 37% is below threshold 80% · 7 cases · $0.063

    External checks

    ClawHub: clean
    This skill is a disclosed Tavily web-search helper whose network and API-key use match its stated purpose.
    LLM: benign (high) · VirusTotal: · 14 Sept 2026