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BF flyai-pilgrimage-tour

影视/综艺/动漫同款打卡·圣地巡礼助手。看了《灌篮高手》想去镰仓？看了《花儿与少年》想走同款路线？AI帮你从一部作品出发，自动匹配取景地POI，拼成可执行的朝圣路线，附带机票酒店方案。当用户提到"同款打卡"、"圣地巡礼"、"取景地"、"XXX在哪拍的"、"打卡XXX"、"电影/动漫/综艺同款"、"去XX取景地"时使用。

ClawHub Agent Skills author: hello_hang v1.0.1 MIT-0 12 files body ≈ 1 470 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 35/100 · Will not run — References files that are not bundled: 从flyai返回的jumpUrl, 从flyai返回的detailUrl

ProcedureInfrastructuretype 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
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: 从flyai返回的jumpUrl, 从flyai返回的detailUrl
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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 · 0

✓ No critical or high findings

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: 从flyai返回的jumpUrl
  • warning missing-ref reference to a missing file: 从flyai返回的detailUrl

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: 从flyai返回的jumpUrl, 从flyai返回的detailUrl
  • 0Tools and files. 2 referenced file(s) missing: 从flyai返回的jumpUrl, 从flyai返回的detailUrl
  • 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
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1470 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -215 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 160: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (2 of 10)

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

External checks

ClawHub: suspicious
The skill is a coherent travel-planning assistant, but it asks users to globally install an unpinned CLI and repeatedly disables HTTPS certificate checks for travel and booking searches.
LLM: suspicious (high) · VirusTotal: · 29 May 2026