SKILLEMALL.ai
GitHub ↗ RU Sign in

CD smart-search

统一智能搜索技能，整合多个搜索引擎（百炼 MCP、Tavily、Serper、Exa、Firecrawl），自动选择最佳引擎并融合结果

ClawHub Agent Skills author: fdenny11gg v1.0.14 MIT-0 71 files · 4 scripts body ≈ 1 738 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureAI 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
C
71/100
safety, quality, tests
Safety 60%
77
Quality 40%
63
Run on models
none yet
Process rating
D
41/100
Unfinished process
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

  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 · 15

✓ No critical or high findings

Medium and low: 15
  • medium Dangerous commands cmd-shell-rc SKILL.md:330
    Writes to a shell startup file
    echo 'export OPENCLAW_MASTER_KEY="your-key"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc SKILL.md:460
    Writes to a shell startup file
    echo 'export OPENCLAW_MASTER_KEY="your-key"' >> ~/.bashrc
  • low Exfiltration read-dotenv CHANGELOG.md:24
    Reads a .env file (detector / deny-list definition)
    - Automatic .env file loading (no need to manually `source .env`)
    detector
  • low Dangerous commands cmd-shell-rc CONFIG_AND_TEST.md:258
    Writes to a shell startup file (detector / deny-list definition; test fixture / example file)
    echo 'export OPENCLAW_MASTER_KEY="'$(grep OPENCLAW_MASTER_KEY .env | cut -d'=' -f2)'"' >> ~/.bashrc
    detectorfixture
  • low Exfiltration read-dotenv dist/scripts/setup-wizard.js:116
    Reads a .env file (detector / deny-list definition)
    console.log('   1. 加载主密钥：source .env');
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:300
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…ywo+qwL+oL8H…C1U+vRfLQDvw==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:316
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha512-Yqfm+XDx0+Prh3…1yC+JWZ2…IL7+vK+Clp7…D7g==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:329
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…xZl+RoGR…fbT/ZgrF…0EA==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:342
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…3bJ+V0If…IXN+CL65…a4w==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:358
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…H47+FFon…OsV/4+RRsz…0ig==",
    quoted
  • low Exfiltration read-dotenv scripts/quick-config.sh:44
    Reads a .env file (detector / deny-list definition)
    echo "   source .env"
    detector
  • low Exfiltration read-dotenv scripts/quick-setup.sh:20
    Reads a .env file
    source .env
  • low Exfiltration read-dotenv scripts/setup-wizard.ts:92
    Reads a .env file (detector / deny-list definition)
    console.log('   1. 加载主密钥：source .env');
    detector
  • low Exfiltration read-dotenv SKILL.md:240
    Reads a .env file
    cp .env.example .env
  • low Exfiltration read-dotenv test-config.js:7
    Reads a .env file (test fixture / example file)
    const masterKey = process.env.OPENCLAW_MASTER_KEY || fs.readFileSync('.env', 'utf-8').match(/OPENCLAW_MASTER_KEY=(.+)/)[1];
    fixture

Files scanned: 71. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (smart-search) differs from the folder (openclaw-smart-search)
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 80 steps
  • 100Execution cost. Instruction body is 1738 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)
  • +3Description length 67: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -245 emoji in the instructions: noise for the model
  • -37 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 39 headings
  • +3Step-by-step instructions: 80 items
  • +4Has examples (24 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This appears to be a real multi-engine search skill, but it includes unsafe credential setup and display paths that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026