SKILLEMALL.ai
GitHub ↗ RU Sign in

CD qxbent

启信宝企业信息查询工具，提供企业工商信息、股东信息、主要人员、变更记录等查询功能。支持通过企业名称查询，返回标准化的企业数据。

ClawHub Agent Skills author: llx-26 v1.0.2 MIT-0 19 files body ≈ 681 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype 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
68/100
safety, quality, tests
Safety 60%
69
Quality 40%
66
Run on models
none yet
Process rating
D
46/100
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 · 7

✓ No critical or high findings

Medium and low: 7
  • medium Dangerous commands cmd-shell-rc README.md:40
    Writes to a shell startup file
    echo 'export QXBENT_API_TOKEN="your_token_here"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc SKILL.md:47
    Writes to a shell startup file
    echo 'export QXBENT_API_TOKEN="your_token_here"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc SKILL.md:51
    Writes to a shell startup file
    echo 'export QXBENT_API_TOKEN="your_token_here"' >> ~/.zshrc
  • medium Dangerous commands cmd-shell-rc USER_GUIDE.md:43
    Writes to a shell startup file
    echo 'export QXBENT_API_TOKEN="your_token_here"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc USER_GUIDE.md:47
    Writes to a shell startup file
    echo 'export QXBENT_API_TOKEN="your_token_here"' >> ~/.zshrc
  • medium Dangerous commands cmd-shell-rc USER_GUIDE.md:56
    Writes to a shell startup file
    echo 'export QXBENT_API_TOKEN="your_token_here"' >> ~/.bashrc
  • low Exfiltration read-dotenv TESTING.md:24
    Reads a .env file (test fixture / example file)
    cp .env.example .env
    fixture

Files scanned: 19. 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 46/100

  • 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
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 36 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 681 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 63: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -44 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 36 items
  • +4Has examples (7 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill appears to do the advertised QiXinBao company lookups, but it should be reviewed because it handles an API token while under-disclosing transmission and leaving dependency risk unresolved.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026