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自动采集盐南高新区、经开区招投标信息；当用户需要定时采集招标网站、筛选特定区域项目、生成PDF日报/月报、推送报到飞书时使用

ClawHub Agent Skills author: xzc13815555922 v1.0.1 MIT-0 20 files body ≈ 743 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedurePDFProcurementInfrastructuretype 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%
82
Quality 40%
66
Run on models
none yet
Process rating
D
43/100
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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Dangerous commands cmd-shell-rc references/飞书企业自建应用配置指南.md:93
    Writes to a shell startup file
    echo 'export FEISHU_APP_ID="cli_xxxxxxxxxxxxxxxx"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc references/飞书企业自建应用配置指南.md:94
    Writes to a shell startup file
    echo 'export FEISHU_APP_SECRET="xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"' >> ~/.bashrc
  • medium Dangerous commands cmd-shell-rc references/飞书企业自建应用配置指南.md:95
    Writes to a shell startup file
    echo 'export FEISHU_CHAT_ID="oc_xxxxxxxxxxxxxxxx"' >> ~/.bashrc
  • low Exfiltration read-dotenv references/飞书企业自建应用配置指南.md:109
    Reads a .env file
    export $(cat .env | xargs)
  • low Secrets in code secret-high-entropy-token references/飞书企业自建应用配置指南.md:215
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    "file_key": "file…XXX"
    placeholder
  • low Secrets in code secret-high-entropy-token references/飞书企业自建应用配置指南.md:238
    High-entropy token-like string (may be an id, hash or a credential) (placeholder value)
    "content": "{\"file_key\":\"file…XXX\"}"
    placeholder

Files scanned: 20. 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 43/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 743 tokens
  • low 12 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)
  • +3Description length 62: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • -32 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 39 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (3 of 8)

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

External checks

ClawHub: suspicious
This skill mostly does what it advertises, but it needs review because it can run unattended, read Feishu credentials, and send collected reports externally with weak safety boundaries.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026