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AF teslamate-deploy

This skill should be used when the user wants to install or deploy TeslaMate (a self-hosted Tesla vehicle data logger + Grafana dashboard) on a local machine or a remote Linux server. Triggers include requests like "install TeslaMate", "deploy TeslaMate", "装 teslamate", "部署 teslamate", "在云服务器上跑个 teslamate", or "set up a Tesla data logger". The skill handles target selection, pre-flight checks, running the bundled deploy scripts, post-install health checks, and producing a user-facing usage document.

ClawHub Agent Skills author: Martin Zhang v0.1.0 MIT-0 2 files body ≈ 1 852 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

This skill should be used when the user wants to install or deploy TeslaMate (a self-hosted Tesla vehicle data logger + Grafana dashboard) on a local machine…

As a process F 49/100 · Will not run — References files that are not bundled: scripts/deploy-setup.sh, scripts/install-teslamate.sh, scripts/docker-compose.yml

ProcedureDockerPostgreSQLInfrastructuretype 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
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: scripts/deploy-setup.sh, scripts/install-teslamate.sh, scripts/docker-compose.yml
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/deploy-setup.sh
  • warning missing-ref reference to a missing file: scripts/install-teslamate.sh
  • warning missing-ref reference to a missing file: scripts/docker-compose.yml
  • warning missing-ref reference to a missing file: scripts/README.md
  • warning missing-ref reference to a missing file: references/troubleshooting.md
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: scripts/deploy-setup.sh, scripts/install-teslamate.sh, scripts/docker-compose.yml
  • 0Tools and files. 5 referenced file(s) missing: scripts/deploy-setup.sh, scripts/install-teslamate.sh, scripts/docker-compose.yml
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 13 mutating operations with no state check
  • 40Consistency. Frontmatter name (teslamate-deploy) differs from the folder (my-teslamate)
  • 100Steps. 26 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 4 branches, has a failure section
  • 100Execution cost. Instruction body is 1852 tokens
  • 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

  • +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 6 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 504: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
The skill appears aimed at deploying TeslaMate, but it asks the agent to run high-impact deployment scripts that are not actually included in the submitted artifact.
LLM: suspicious (medium) · VirusTotal: · 10 Jul 2026