SKILLEMALL.ai
GitHub ↗ RU Sign in

FD dynamic-island

macOS Dynamic Island desktop widget for OpenClaw. Real-time multi-agent status monitoring with frosted glass pill UI. Shows 5 states: idle, alert, thinking, done, error. Hover to expand agent list with recent messages. Triggers: "dynamic island", "灵动岛", "桌面小组件", "agent状态", "启动灵动岛", "打开灵动岛

Not recommendedcritical or high security findings · low grade F
ClawHub Agent Skills author: zhixiangshon-cell v1.0.1 MIT-0 11 files · 2 scripts body ≈ 398 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

ProcedureAI and agentsInfrastructuretype 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
26/100
safety, quality, tests
Safety 60%
0
Quality 40%
65
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

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 · 8

  • high Dangerous commands cmd-persistence README.md:103
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    sed "s|__INSTALL_DIR__|$(pwd)|g" com.openclaw.face.plist > ~/Library/LaunchAgents/com.openclaw.face.plist
  • high Dangerous commands cmd-persistence README.md:104
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl load ~/Library/LaunchAgents/com.openclaw.face.plist
  • high Dangerous commands cmd-persistence README.md:107
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl unload ~/Library/LaunchAgents/com.openclaw.face.plist
  • high Dangerous commands cmd-persistence README.md:108
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    rm ~/Library/LaunchAgents/com.openclaw.face.plist
  • high Dangerous commands cmd-persistence xiaohongshu-guide.md:121
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    sed "s|__INSTALL_DIR__|$(pwd)|g" com.openclaw.face.plist > ~/Library/LaunchAgents/com.openclaw.face.plist
  • high Dangerous commands cmd-persistence xiaohongshu-guide.md:122
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl load ~/Library/LaunchAgents/com.openclaw.face.plist
  • high Dangerous commands cmd-persistence xiaohongshu-guide.md:130
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    launchctl unload ~/Library/LaunchAgents/com.openclaw.face.plist
  • high Dangerous commands cmd-persistence xiaohongshu-guide.md:131
    Persistence mechanism (cron / launchd / scheduled task / autorun registry)
    rm ~/Library/LaunchAgents/com.openclaw.face.plist

Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 4, column 14: description: macOS Dynamic Island desktop widget for OpenClaw. Real-time multi-… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"

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 (python) that frontmatter does not declare
  • 100Steps. 15 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 398 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

  • +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
  • +5Description quotes 2 example trigger phrases
  • +3Description length 289: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
This appears to be a real OpenClaw macOS status widget, but it handles sensitive agent conversation snippets with weak local access controls.
LLM: suspicious (high) · VirusTotal: · 29 May 2026