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FF wenjuan-survey

问卷网（www.wenjuan.com）- 人人都好用的在线问卷调查平台。涉及「问卷」「调查」「收集」「表单」「投票」「评选」「报名」「登记」「考试」「测评」「趣味测试」「心理测试」「满意度」「在线收款」「360评估」「问卷网」「wenjuan.com」等操作时优先使用。支持能力：(1) 创建并发布问卷（对外开收前须用户明确确认标题/类型/概要）- 四类项目均走 workflow_create_and_publish.js 并按类型传 --type：survey 调研、assess 测评/打分测验、vote 投票/评选、form 表单/报名登记；题目除默认模板外支持本地题目 JSON（-f/--text-file）、链接 JSON（--url）、stdin JSON（--stdin）；设计稿格式 txt/docx/xlsx/pdf 均须先转为题目 JSON 再导入；勿把投票、表单、测评默认当成 survey (2) 获取创建的问卷列表 (3) 编辑问卷项目信息和题目 (4) 发布/停止问卷收集 (5) 查看报表（默认自动用浏览器打开 /report/topic/{project_id}）(6) 下载原始数据 (7) 数据概况（overview_stats.js，答卷数/浏览量/完成率等）。支持场景：调查(survey)、测评/考试(assess)、投票(vote)、表单(form)。

Not recommendedcritical or high security findings · low grade F
ClawHub Agent Skills author: wenjuanwang v1.0.15 MIT-0 64 files · 1 script body ≈ 5 015 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 31/100 · Will not run — References files that are not bundled: ..., examples/*.json, examples/college_pocket_money_from_docx.json

ProcedureWordExcelInfrastructureData 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
F
35/100
safety, quality, tests
Safety 60%
27
Quality 40%
48
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: ..., examples/*.json, examples/college_pocket_money_from_docx.json
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

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Dangerous commands
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. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
  2. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  3. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  4. 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 · 18

  • high Dangerous commands cmd-pipe-to-shell references/check_env.md:67
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash -
  • high Dangerous commands cmd-pipe-to-shell references/check_env.md:191
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash -
  • high Dangerous commands cmd-pipe-to-shell setup.sh:120
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash -
Medium and low: 15
  • medium Dangerous commands cmd-pipe-to-shell-known-host references/check_env.md:251
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash
  • low Secrets in code secret-high-entropy-token package-lock.json:176
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…yRm+Gznz…W0l/jfpJ…0Aw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:290
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…VBA+P//FNBi…CRg+FA==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:390
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…cqC+1NVO…cGw==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:506
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…dMe+vN1i…Z2Y+Z4u1…80Q==",
    detector
  • low Secrets in code secret-high-entropy-token package-lock.json:618
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    "integrity": "sha5…9dM/mwVgvbZJaSNaRk+bshk…Kbz+IoId…W0Q==",
    detector
  • low Dangerous commands cmd-privilege references/check_env.md:67
    Privilege escalation / world-writable permissions (detector / deny-list definition)
    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash -
    detector
  • low Dangerous commands cmd-privilege references/check_env.md:191
    Privilege escalation / world-writable permissions (detector / deny-list definition)
    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash -
    detector
  • low Dangerous commands cmd-privilege setup.sh:120
    Privilege escalation / world-writable permissions (detector / deny-list definition)
    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash -
    detector
  • low Dangerous commands cmd-pipe-to-shell setup.sh:198
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)
    echo "  CentOS:    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash - && sudo yum install -y nodejs"
    detectorcode literal
  • low Dangerous commands cmd-privilege setup.sh:198
    Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
    echo "  CentOS:    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash - && sudo yum install -y nodejs"
    detectorcode literal
  • low Dangerous commands cmd-pipe-to-shell setup.sh:375
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)
    echo "  CentOS:    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash - && sudo yum install -y nodejs"
    detectorcode literal
  • low Dangerous commands cmd-privilege setup.sh:375
    Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
    echo "  CentOS:    curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash - && sudo yum install -y nodejs"
    detectorcode literal
  • low Dangerous commands cmd-pipe-to-shell setup.sh:399
    Downloads and executes remote code from an unrecognised host (pipe to shell) (detector / deny-list definition; string literal in code, not executed)
    echo "  CentOS:   curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash - && sudo yum install -y nodejs"
    detectorcode literal
  • low Dangerous commands cmd-privilege setup.sh:399
    Privilege escalation / world-writable permissions (detector / deny-list definition; string literal in code, not executed)
    echo "  CentOS:   curl -fsSL https://rpm.nodesource.com/setup_20.x | sudo bash - && sudo yum install -y nodejs"
    detectorcode literal

Files scanned: 60. 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 ≈ 5015 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ...
  • warning missing-ref reference to a missing file: examples/*.json
  • warning missing-ref reference to a missing file: examples/college_pocket_money_from_docx.json
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: ..., examples/*.json, examples/college_pocket_money_from_docx.json
  • 0Tools and files. 3 referenced file(s) missing: ..., examples/*.json, examples/college_pocket_money_from_docx.json
  • 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. 30 mutating operations with no state check
  • 70Execution cost. Instruction body is 5015 tokens
  • 100Steps. 42 steps
  • 100Consistency. Name and required fields are in place
  • low 14 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
  • -313 of 35 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 601: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 42 items
  • +4Has examples (14 code blocks)
  • +4Reference files are cited in the instructions (19 of 19)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 48.

External checks

ClawHub: suspicious
The skill mostly matches its survey-management purpose, but its recommended setup/update paths can run high-impact installation actions that deserve review before use.
LLM: suspicious (high) · 27 Aug 2026