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AF 1panel-appstore-skills

Create 1Panel appstore/local-app installation packages for Dockerized applications from official repositories, Docker images, docker-compose.yml files, or a prepared app spec.

ClawHub Agent Skills author: 1Panel v1.0.0 MIT-0 12 files body ≈ 1 555 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process F 53/100 · Will not run — References files that are not bundled: scripts/init.sh

GeneratorDockerInfrastructuretype 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
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
Run on models
none yet
Process rating
F
53/100
Will not run
References files that are not bundled: scripts/init.sh
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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.
  2. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Obfuscation obf-base64-blob scripts/generate_app_package.py:99
    Long base64-looking blob (quoted — discussed, not commanded)
    "iVBO…mP8/x8AAwMCAO+/p9sA…YII="
    quoted

Files scanned: 12. 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")
  • warning missing-ref reference to a missing file: scripts/init.sh

Process rating: all ten parameters 53/100

Will not run. References files that are not bundled: scripts/init.sh
  • 0Tools and files. 1 referenced file(s) missing: scripts/init.sh
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (1panel-appstore-skills) differs from the folder (1panel-appstore)
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 48 steps
  • 100Failures and branches. 6 branches, has a failure section
  • 100Execution cost. Instruction body is 1555 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (5 tags): a typed call is more reliable

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
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 175: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 48 items
  • +3Output format is stated explicitly
  • +4Has examples (0 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill coherently generates 1Panel local app packages, with the main risk being that generated packages may include Docker settings and optional init scripts that users should review before running.
LLM: benign (high) · VirusTotal: · 29 May 2026