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BC 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 · 2 scripts body ≈ 1 555 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

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

As a process C 53/100 · Has gaps — 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
B
90/100
safety, quality, tests
Safety 60%
99
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
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. 1 branches, has a failure section
  • 100Execution cost. Instruction body is 1555 tokens
  • 100Running it twice. Mutating operations check current state
  • 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: suspicious
The skill is a coherent 1Panel package generator, but its generated packages can include under-validated executable init scripts and YAML produced from untrusted spec fields.
LLM: suspicious (high) · VirusTotal: · 16 Sept 2026