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BC searxng-search-cli

Use self-hosted SearXNG search engine (Free, Self-hosted, Auto-deploy, Multi-Channel). SearXNG is a free meta search engine that aggregates 200+ search engines (Google, Bing, Brave, GitHub, etc.), completely free and self-hostable. Trigger: User needs to search queries, research information, find resources, etc.

ClawHub Agent Skills author: Kinema. v1.3.0 MIT-0 7 files · 1 script body ≈ 682 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGitHubInfrastructuretype 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
86/100
safety, quality, tests
Safety 60%
86
Quality 40%
85
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • medium Dangerous commands cmd-pipe-to-shell-known-host references/ONBOARDING.md:41
      Pipe-to-shell installer from a well-known host (still executes remote code)
      curl -LsSf https://astral.sh/uv/install.sh | sh
    • medium Dangerous commands cmd-pipe-to-shell-known-host references/ONBOARDING.md:45
      Pipe-to-shell installer from a well-known host (still executes remote code)
      wget -qO- https://astral.sh/uv/install.sh | sh
    • low Dangerous commands cmd-privilege references/ONBOARDING.md:124
      Privilege escalation / world-writable permissions (documentation table row)
      | `TypeError: schema of limiter.toml is invalid` | `/etc/searxng/limiter.toml` 格式错误或为空 | `sudo cp ~/projects/searxng/searx/limiter.toml /etc/searxng/limiter.toml` |
      table
    • low Dangerous commands cmd-privilege references/ONBOARDING.md:131
      Privilege escalation / world-writable permissions (documentation table row)
      | `Permission denied: /home/node/projects` | 目录无写入权限 | `sudo mkdir -p ~/projects && sudo chown $(whoami) ~/projects` |
      table
    • low Dangerous commands cmd-privilege scripts/searxng_cli.py:92
      Privilege escalation / world-writable permissions (string literal in code, not executed)
      log(f"⚠ 需要手动复制: sudo cp {limiter_src} {limiter_dst}")
      code literal
    • low Dangerous commands cmd-pipe-to-shell-known-host scripts/searxng_cli.py:102
      Pipe-to-shell installer from a well-known host (still executes remote code) (string literal in code, not executed)
      run('curl -LsSf https://astral.sh/uv/install.sh | sh')
      code literal

    Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "displayName"

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 14 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 682 tokens
    • 100Running it twice. No mutating operations

    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
    • -32 of 2 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 313: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 14 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    This search skill is not clearly malicious, but it deserves review because installation can run unverified shell commands, modify local service configuration, and enable autostart behavior.
    LLM: suspicious (high) · VirusTotal: · 16 Jul 2026