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BC xiaoqianran-duck

Local analytical data tool powered by DuckDB. Supports importing and querying CSV, TSV, JSON, Parquet, Excel and direct Hugging Face datasets via hf:// protocol with token support. Includes CLI, Node helper, preview server, and Rust backend for Tauri/Electron/Qt apps.

ClawHub Agent Skills author: xiaoqianran v1.0.1 MIT-0 25 files body ≈ 676 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Local analytical data tool powered by DuckDB.

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

IntegrationData and analyticsSoftware developmenttype 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
82/100
safety, quality, tests
Safety 60%
90
Quality 40%
70
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

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 · 10

✓ No critical or high findings

Medium and low: 10
  • low Secrets in code secret-high-entropy-token examples/package-lock.json:26
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "integrity": "sha5…EmM+R1fo…Ffo/cQ9W…hK0+hV1aiA==",
    fixturequoted
  • low Secrets in code secret-high-entropy-token examples/package-lock.json:71
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "integrity": "sha512-4EsB+cgRqOE++mdPQ…19B+C5Oz…52M+w+TdL0…aKQ==",
    fixturequoted
  • low Secrets in code secret-high-entropy-token examples/package-lock.json:103
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "integrity": "sha5…8yK+j4pCg+j6Qs…Kex/mtId…Oyg==",
    fixturequoted
  • low Secrets in code secret-high-entropy-token examples/package-lock.json:135
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "integrity": "sha5…eCp+hlU6…sah+CGnp…dDA==",
    fixturequoted
  • low Secrets in code secret-high-entropy-token examples/package-lock.json:148
    High-entropy token-like string (may be an id, hash or a credential) (test fixture / example file; quoted — discussed, not commanded)
    "integrity": "sha5…PUJ+RLFi…EUh+doGf…Ysw==",
    fixturequoted
  • low Secrets in code secret-high-entropy-token package-lock.json:27
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…EmM+R1fo…Ffo/cQ9W…hK0+hV1aiA==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:72
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha512-4EsB+cgRqOE++mdPQ…19B+C5Oz…52M+w+TdL0…aKQ==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:104
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…8yK+j4pCg+j6Qs…Kex/mtId…Oyg==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:136
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…eCp+hlU6…sah+CGnp…dDA==",
    quoted
  • low Secrets in code secret-high-entropy-token package-lock.json:149
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…PUJ+RLFi…EUh+doGf…Ysw==",
    quoted

Files scanned: 16. 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")

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. 10 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 676 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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 268: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (9 code blocks)

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

External checks

ClawHub: suspicious
This is a coherent DuckDB data tool, but it needs review because it exposes unrestricted browser SQL and automatically uses Hugging Face tokens from the environment or a nearby .env file.
LLM: suspicious (high) · VirusTotal: · 28 Jun 2026