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DD reading-widget

在 macOS 桌面上放一个微信读书数据小卡片，自动显示连续阅读天数、今日/本月阅读时长（可点开看本周/今年对比）、本月目标进度、当前在读、年度读完本数和当下金句。安装后通过 Chrome --app 模式打开成无边框窗口贴在屏幕角落。触发：用户说"装阅读 widget"、"做个读书桌面小卡片"、"reading widget"、"放个微信读书的桌面 widget"、"我想 track 我的阅读"。

Not recommendedcritical or high security findings · low grade D
ClawHub Agent Skills author: NANA v1.1.1 MIT-0 9 files · 2 scripts body ≈ 869 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype 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
D
59/100
safety, quality, tests
Safety 60%
49
Quality 40%
75
Run on models
none yet
Process rating
D
48/100
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.
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 · 5

  • high Dangerous commands cmd-persistence README.md:49
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    cp com.user.reading-widget.plist ~/Library/LaunchAgents/
  • high Dangerous commands cmd-persistence README.md:51
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl load ~/Library/LaunchAgents/com.user.reading-widget.plist
Medium and low: 3
  • medium Dangerous commands cmd-persistence SKILL.md:58
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
    1. 把 skill 目录里的 `com.user.reading-widget.plist` 复制到 `~/Library/LaunchAgents/`，并把里面的 `USERNAME` 换成真实用户名、`/usr/bin/python3` 换成 `which python3` 实际路径。
    quoted
  • medium Dangerous commands cmd-persistence SKILL.md:59
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
    2. 加载：`launchctl load ~/Library/LaunchAgents/com.user.reading-widget.plist`
    quoted
  • medium Dangerous commands cmd-persistence SKILL.md:90
    Persistence mechanism (cron / launchd / scheduled task / autorun registry) (quoted — discussed, not commanded)
    - 卸载：`launchctl unload ~/Library/LaunchAgents/com.user.reading-widget.plist` 并删该 plist；删 `~/Desktop/reading-widget/`；从 `settings.json` 拿掉 key
    quoted

Files scanned: 9. 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 48/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 869 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +3Description length 201: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill is a disclosed WeRead desktop widget that uses a local helper, a WeRead API key, and optional startup persistence in ways that fit its stated purpose.
LLM: benign (high) · VirusTotal: · 2 Jun 2026