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AC tailscale-manager

Manage Tailscale tailnet from chat. Check status, list devices, ping hosts, run network diagnostics, check serve/funnel config. All public IPs are automatically masked in output (after JSON parsing, not before). Triggers on "tailscale status", "tailnet", "connected devices", "network check", "ping tailscale", "tailscale devices", "chi è connesso". NOT for: modifying serve/funnel config, administrative Tailscale operations.

ClawHub Agent Skills author: LookUpMark v1.3.0 MIT-0 3 files body ≈ 306 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerMarketingInfrastructuretype 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
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
58/100
Has gaps
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

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 · 0

✓ No critical or high findings

Files scanned: 3. 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")
  • note frontmatter-key unknown frontmatter key "dependencies"

Process rating: all ten parameters 58/100

  • 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
  • 40Consistency. Frontmatter name (tailscale-manager) differs from the folder (lookupmark-tailscale-manager)
  • 100Tools and files. No external tools needed
  • 100Steps. 5 steps
  • 100When it triggers. States when to use and when not to
  • 100Execution cost. Instruction body is 306 tokens
  • 100Running it twice. No mutating operations
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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

  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 426: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 5 items
  • +4Has examples (1 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: clean
This is a read-only Tailscale helper that can reveal tailnet device and identity details, but its behavior is disclosed and aligned with its purpose.
LLM: benign (high) · VirusTotal: · 29 May 2026