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CD tencent-gaokao-college-application

面向中国普通高考常规批次考生的腾讯高考志愿填报工具。用于查询一分一段、省控线、院校或专业历年录取数据，以及根据省份、分数、位次、选科和偏好生成院校优先或专业优先的冲稳保志愿参考方案及 HTML 报告；涉及高考成绩、位次、院校专业录取线、招生计划、选科限制或志愿填报时应使用。

Not recommendedcritical or high security findings
ClawHub Agent Skills author: TencentNewsTeam v1.0.3 MIT-0 10 files · 4 scripts body ≈ 7 524 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

面向中国普通高考常规批次考生的腾讯高考志愿填报工具。用于查询一分一段、省控线、院校或专业历年录取数据，以及根据省份、分数、位次、选科和偏好生成院校优先或专业优先的冲稳保志愿参考方案及 HTML 报告；涉及高考成绩、位次、院校专业录取线、招生计划、选科限制或志愿填报时应使用。

As a process D 44/100 · 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
62/100
safety, quality, tests
Safety 60%
59
Quality 40%
67
Run on models
none yet
Process rating
D
44/100
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

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.
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 · 3

  • high Dangerous commands cmd-pipe-to-shell references/installation-guide.md:8
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://mat1…com/qqcdn/qqnews/cli/hub/tencent-news/setup.sh | sh
  • high Dangerous commands cmd-pipe-to-shell references/update-guide.md:20
    Downloads and executes remote code from an unrecognised host (pipe to shell)
    curl -fsSL https://mat1…com/qqcdn/qqnews/cli/hub/tencent-news/setup.sh | sh
Medium and low: 1
  • medium Dangerous commands cmd-pipe-to-shell SKILL.md:49
    Downloads and executes remote code from an unrecognised host (pipe to shell) (quoted — discussed, not commanded)
    - **CLI 未安装/不可用**（`cliExists: false`、`cliSource: none`、`cli not found`、`command not found`、`not recognized`）：说明本查询依赖腾讯新闻 CLI，当前设备尚未安装或未被识别；按平台提供安装命令：macOS/Linux 使用 `curl -fsSL https://mat1…com/q
    quoted

Files scanned: 10. 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 ≈ 7524 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "description_zh"
  • note frontmatter-key unknown frontmatter key "description_en"

Process rating: all ten parameters 44/100

  • 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, web) that frontmatter does not declare
  • 70Execution cost. Instruction body is 7524 tokens
  • 100Steps. 239 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (7 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 137: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 239 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill is coherent as a Tencent CLI-backed gaokao tool, but its install, update, and CLI wrapper behavior are broad enough to require Review before install.
LLM: suspicious (high) · 31 Aug 2026