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BF data-query

通用自然语言转SQL与可视化页面生成技能。当用户使用自然语言查询数据，或需要生成带图表的数据看板页面时调用本技能。技能基于挂载的知识库上下文直接生成SQL，验证后生成可部署的HTML图表页面。

ClawHub Agent Skills author: ylyuanlu v1.0.0 MIT-0 80 files body ≈ 9 697 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 29/100 · Will not run — References files that are not bundled: templates/cockpit_current.html

IntegrationMySQLAI and agentsData and analyticstype 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
76/100
safety, quality, tests
Safety 60%
90
Quality 40%
54
Run on models
none yet
Process rating
F
29/100
Will not run
References files that are not bundled: templates/cockpit_current.html
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. The text references files that are not there: add them or drop the references.
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-install-from-url venv_dm/lib/python3.14/site-packages/pip/__main__.py:12
    Installs a package from an untrusted URL / archive (code comment)
    # This allows the usage python pip-*.whl/pip install pip-*.whl
    comment
  • low Secrets in code secret-high-entropy-token package-lock.json:129
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…9c1+a/jSMi…Con/kmRh…Y0w==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:157
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…QCS+Q9NHx2Sr+WcnU…8Jd+S8JJw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:172
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…w6M+uprW…rLY/w==",
    detector
  • low Secrets in code secret-password-literal src/core/config.js:26
    Hard-coded password / key literal (may be an example)
    password: 'Wisd…380',
  • low Secrets in code secret-high-entropy-token src/security/encryptSql.js:16
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    const AES_KEY_STRING = 'Wisd…32B!';
    quoted

Files scanned: 80. 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")
  • warning body-long SKILL.md body ≈ 9697 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: templates/cockpit_current.html

Process rating: all ten parameters 29/100

Will not run. References files that are not bundled: templates/cockpit_current.html
  • 0Tools and files. 1 referenced file(s) missing: templates/cockpit_current.html
  • 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
  • 30Running it twice. 6 mutating operations with no state check
  • 40Execution cost. Instruction body is 9697 tokens: crowds the task out of the window
  • 100Steps. 72 steps
  • 100Consistency. Name and required fields are in place
  • low 16 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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 96: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -239 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +4Structure: 69 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (45 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
The skill’s SQL dashboard purpose is coherent, but it ships live-looking database and API credentials that could grant access to external business data.
LLM: suspicious (high) · VirusTotal: · 29 May 2026