SKILLEMALL.ai
GitHub ↗ RU Sign in

AA search-auto-routing-plan

Plan which search provider to use before multi-provider skills run — score query signals, pick Serper/Tavily/Exa/Brave/Firecrawl, define fallback chain, and document why.

ClawHub Agent Skills author: ruti3 v1.0.0 MIT-0 3 files body ≈ 1 141 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Plan which search provider to use before multi-provider skills run — score query signals, pick Serper/Tavily/Exa/Brave/Firecrawl, define fallback chain, and…

As a process A 80/100 · Runs to the end — weak spots: progress reporting

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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
A
80/100
Runs to the end
Progress reporting w 2
0
Tools and files w 18
60
Result and completion w 14
60
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "triggerKeywords"
    • note frontmatter-key unknown frontmatter key "language"
    • note frontmatter-key unknown frontmatter key "hasExecutableCode"
    • note frontmatter-key unknown frontmatter key "promptOnly"
    • note frontmatter-key unknown frontmatter key "execution"

    Process rating: all ten parameters 80/100

    • 0Progress reporting. Says nothing while it works
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 24 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1141 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 10 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
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 170: enough signal without eating the budget
    • +4Structure: 16 headings
    • +3Step-by-step instructions: 24 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This is a prompt-only planning skill for choosing search providers, with no code execution, network calls, credentials, or persistence.
    LLM: benign (high) · VirusTotal: · 24 Jun 2026