SKILLEMALL.ai
RU Sign in

BB travel-destination-brochure

Build travel destination scenarios and brochures from a city name. Fetches street-level and landmark imagery from OpenStreetCam and Wikimedia Commons, then uses VLM Run (vlmrun) to generate a travel video and a travel plan. Use when the user wants a travel brochure, destination guide, travel video, or travel planning for a city.

modbender/skill-library-mcp Agent Skills author: modbender MIT 10 files body ≈ 3 828 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Build travel destination scenarios and brochures from a city name.

As a process B 70/100 · Nearly there — weak spots: result and completion

GeneratorMedia and videoSoftware developmenttype 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
75/100
safety, quality, tests
Safety 60%
70
Quality 40%
83
Run on models
none yet
Process rating
B
70/100
Nearly there
Result and completion w 14
0
Tools and files w 18
60
When it triggers w 12
70
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.

Dangerous commands 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

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

    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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • medium Dangerous commands cmd-execpolicy-bypass README.md:52
      Runs PowerShell with execution policy bypassed
      powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
    • medium Dangerous commands cmd-pipe-to-shell-known-host README.md:59
      Pipe-to-shell installer from a well-known host (still executes remote code)
      curl -LsSf https://astral.sh/uv/install.sh | sh
    • medium Dangerous commands cmd-execpolicy-bypass SKILL.md:54
      Runs PowerShell with execution policy bypassed
      powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
    • medium Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:63
      Pipe-to-shell installer from a well-known host (still executes remote code)
      curl -LsSf https://astral.sh/uv/install.sh | sh
    • medium Dangerous commands cmd-shell-rc SKILL.md:130
      Writes to a shell startup file
      echo 'export VLMRUN_API_KEY="your-api-key-here"' >> ~/.bashrc
    • medium Exfiltration net-credential-use SKILL.md:366
      Credential used in a network call (verify the destination is the intended service)
      - Confirm `VLMRUN_API_KEY` is set correctly: `echo $VLMRUN_API_KEY` (macOS/Linux) or `echo $env:VLMRUN_API_KEY` (Windows)

    Files scanned: 10. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 70/100

    • 0Result and completion. Does not say what the result is
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 70 steps, 1 vague phrases
    • 100Failures and branches. 1 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3828 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 10 top-level sections: this looks like several domains in one skill

    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)
    • +3Output format is not stated: the model decides each time
    • -42 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 330: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 70 items
    • +4Has examples (24 code blocks)
    • +3All 5 scripts are documented

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