SKILLEMALL.ai

BF weekend-pick-one

周末去哪玩|只推一个。少做完整攻略,多做当日裁决:把今天或这个周末换算成明确日期,结合出发地、时间、预算、体力、交通、天气、拥挤、营业和返程,从本城、近郊与周边候选中只裁决一个主方案,并给两个备胎、别去清单与核验依据。用于‘这个周末/今天/今晚去哪玩、周边游、一日游、day trip、weekend、things to do、随便安排、几个地方选哪个、小红书刷到的地方值不值得去’等临时出门决策。用户要完整多日旅行、酒店航班预订或逐日 itinerary 时,优先使用旅行规划类 Skill;用户只想浏览附近活动清单时,优先使用活动发现类 Skill。

ClawHub Agent Skills author: Snakeyi v1.2.1 MIT-0 35 files body ≈ 877 tokens Open the sourceclawhub.ai analyzed 2 d ago

周末去哪玩|只推一个。少做完整攻略,多做当日裁决:把今天或这个周末换算成明确日期,结合出发地、时间、预算、体力、交通、天气、拥挤、营业和返程,从本城、近郊与周边候选中只裁决一个主方案,并给两个备胎、别去清单与核验依据。用于‘这个周末/今天/今晚去哪玩、周边游、一日游、day trip、weekend、things…

As a process F 35/100 · Will not run — References files that are not bundled: URL

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: URL
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: 31. 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: URL

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: URL
  • 0Tools and files. 1 referenced file(s) missing: URL
  • 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 877 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
  • -37 of 7 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 277: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (8 of 11)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This skill is a disclosed weekend outing recommendation helper with bounded public-search, memory, and packaging behavior; the scanner concerns are mostly usability or release-workflow notes rather than security issues.
LLM: benign (high) · VirusTotal: · 15 Jul 2026