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BD trip-planner-0to1

从 0 到 1 制作一份完整的自由行出行攻略，覆盖需求采集、多源资源调研（小红书 MCP + 地图 + Web 搜索）、方案决策、Markdown 行程书产出、多页交互式网页（指挥中心 + 攻略详情 + 航班卡片）、跨设备 Todo 同步、三链路部署的端到端工作流。适用于东南亚海岛、日本、欧洲自驾、美洲公路旅行等任何自由行场景。触发词：出行攻略、行程规划、自由行、做攻略、旅游计划、travel plan、itinerary、行程单、Todo 清单、旅行规划、路线规划、trip planning、旅行攻略。

ClawHub Agent Skills author: dengjiawei1226 v2.0.0 MIT-0 13 files body ≈ 3 016 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

ProcedurePersonal productivityInfrastructureAI 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
B
85/100
safety, quality, tests
Safety 60%
98
Quality 40%
66
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 · 2

✓ No critical or high findings

Medium and low: 2
  • low Dangerous commands cmd-background-process references/self-host-sync.md:95
    Starts a background / autostarted process
    sudo systemctl enable --now trip-sync
  • low Dangerous commands cmd-cron-mention references/self-host-sync.md:157
    Mentions editing / listing crontab
    # crontab -e

Files scanned: 13. 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")
  • note frontmatter-key unknown frontmatter key "slug"

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 (trip-planner-0to1) differs from the folder (trip-planner-0to1-public)
  • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
  • 100Steps. 80 steps
  • 100Execution cost. Instruction body is 3016 tokens
  • 100Running it twice. No mutating operations
  • low 15 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (4 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)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • -2localhost URLs: will not work for another user
  • -230 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 255: enough signal without eating the budget
  • +4Structure: 45 headings
  • +3Step-by-step instructions: 80 items
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
This travel-planning skill is mostly legitimate, but it needs Review because its sync, deployment, credential, and silent update-check instructions can expose private trip data or alter the local environment.
LLM: suspicious (high) · VirusTotal: · 29 May 2026