SKILLEMALL.ai

BC tailscale

Deploy and manage the self-hosted Tailscale/Headscale ecosystem: a Headscale control server, tailscale clients, ACL policies, node lifecycle, subnet routing, DERP relays, backup/migration, and Tailworm security exposure triage. Use when the user mentions Tailscale, Headscale, tailnet, mesh VPN, WireGuard mesh, or self-hosted VPN infrastructure. Do not use this skill for unrelated requests; route to the nearest named specialist.

magnus919/agent-skills Agent Skills author: magnus919 MIT 26 files · 5 scripts body ≈ 2 042 tokens Open the sourcegithub.com↗ analyzed 16 d ago

Deploy and manage the self-hosted Tailscale/Headscale ecosystem: a Headscale control server, tailscale clients, ACL policies, node lifecycle, subnet routing…

As a process C 55/100 · Has gaps — References files that are not bundled: scripts/check-skill-tests.py, scripts/<tool>

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
95
Quality 40%
87
Run on models
none yet
Process rating
C
55/100
Has gaps
References files that are not bundled: scripts/check-skill-tests.py, scripts/<tool>
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • medium Exfiltration net-credential-use scripts/headscale-health-check.sh:62
    Credential used in a network call (verify the destination is the intended service)
    api_result=$(curl -s -w "%{http_code}" -H "Authorization: Bearer $API_KEY" "${URL}/api/v1/user" 2>/dev/null) || true

Files scanned: 24. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/check-skill-tests.py
  • warning missing-ref reference to a missing file: scripts/<tool>

Process rating: all ten parameters 55/100

Will not run. References files that are not bundled: scripts/check-skill-tests.py, scripts/<tool>
  • 0Tools and files. 2 referenced file(s) missing: scripts/check-skill-tests.py, scripts/<tool>
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 11 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 20 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2042 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 tags): a typed call is more reliable
  • low No test case covers injection arriving through data

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
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +3Description length 431: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 9)
  • +3All 5 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.