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AF elsewhere-companion

A cross-space digital travel companion. Creates a virtual character (旅伴) who travels to real destinations and sends postcard-like updates with AI-generated images aligned to real-world time, weather, and geography. Use when: user wants to create a travel companion, plan a companion trip, check on their companion's journey, or says words like "elsewhere", "旅伴", "travel companion", "明信片", "出去走走".

ClawHub Agent Skills author: DreamArc77 v1.0.0 MIT-0 15 files body ≈ 985 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 38/100 · Will not run — References files that are not bundled: assets/personas/persona_ref.png, references/state_machine.md, assets/generated/

GeneratorInfrastructuretype 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
F
38/100
Will not run
References files that are not bundled: assets/personas/persona_ref.png, references/state_machine.md, assets/generated/
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

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: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: assets/personas/persona_ref.png
  • warning missing-ref reference to a missing file: references/state_machine.md
  • warning missing-ref reference to a missing file: assets/generated/

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: assets/personas/persona_ref.png, references/state_machine.md, assets/generated/
  • 0Tools and files. 3 referenced file(s) missing: assets/personas/persona_ref.png, references/state_machine.md, assets/generated/
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (elsewhere-companion) differs from the folder (elsewhere)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 23 steps
  • 100Execution cost. Instruction body is 985 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 397: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (7 code blocks)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: clean
This skill is a coherent AI travel-companion workflow, with disclosed local state, Gemini use, and a scheduled update loop that users should control.
LLM: benign (high) · VirusTotal: · 29 May 2026