SKILLEMALL.ai
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BD web-search-plus

Unified multi-provider web search and URL extraction skill with intelligent auto-routing across Serper, Brave, Tavily, Querit, Linkup, Exa, Firecrawl, Perplexity, You.com, SearXNG, SerpBase, and Keenable. Unified freshness/news filters, locale-aware defaults, spam/mirror filtering, and adaptive routing. Sends queries/URLs to the configured third-party provider APIs and caches results plus provider failure/performance history locally under .cache (configurable, can be disabled).

ClawHub Agent Skills author: Sean Ford v1.0.0 MIT-0 24 files · 1 script body ≈ 3 274 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
81/100
safety, quality, tests
Safety 60%
95
Quality 40%
60
Run on models
none yet
Process rating
D
48/100
Unfinished process
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 Exfiltration read-dotenv FAQ.md:98
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv README.md:89
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv SKILL.md:67
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv test-auto-routing.sh:8
    Reads a .env file (test fixture / example file)
    source .env
    fixture
  • low Exfiltration read-dotenv test-auto-routing.sh:13
    Reads a .env file (test fixture / example file; quoted — discussed, not commanded)
    echo "Error: SERPER_API_KEY not set. Copy .env.example to .env and add your keys."
    fixturequoted

Files scanned: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Flow map in block collection must be sufficiently indented and end with a } at line 5, column 1653: …health.json, and provider_stats.json (adaptive routing performance samples)"}}} ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 48/100

  • 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. 4 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 62 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3274 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 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)
  • +3Output format is not stated: the model decides each time
  • -37 of 10 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +3Description length 482: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 62 items
  • +4Has examples (9 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This is a coherent web-search and URL-extraction skill that discloses its third-party data sharing and local caching behavior.
LLM: benign (high) · VirusTotal: · 9 Jul 2026