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AD quxizang-skill

趣西藏（QuXizang）——老领队Allen扎西陪你进藏。基于15年藏区老领队"Allen扎西"人设，覆盖全西藏7个地级行政区+川藏线的安全、文化、美食、住宿、购物、应急全方位知识库。 触发词：`/去西藏` `/tibet-trip` `/xizang` `/西藏` `/进藏攻略`。

ClawHub Agent Skills author: allen.Ai v0.1.0 MIT-0 39 files body ≈ 978 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

趣西藏（QuXizang）——老领队Allen扎西陪你进藏。基于15年藏区老领队"Allen扎西"人设，覆盖全西藏7个地级行政区+川藏线的安全、文化、美食、住宿、购物、应急全方位知识库。 触发词：/去西藏 /tibet-trip /xizang /西藏 /进藏攻略。

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype 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
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 36. 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")

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (quxizang-skill) differs from the folder (allen-quxizang-skill)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 24 steps
  • 100Execution cost. Instruction body is 978 tokens
  • 100Running it twice. No mutating operations

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
  • +2Single-language instructions
  • +3Description length 143: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (3 of 4)
  • +3All 3 scripts are documented
  • +1License stated

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

External checks

ClawHub: suspicious
This Tibet travel skill is mostly coherent, but it needs Review because it under-discloses external API use and includes detailed medical and safety guidance that users could rely on in dangerous situations.
LLM: suspicious (high) · 22 Jul 2026