SKILLEMALL.ai

BF lobster-haoyun

从你的对话和记忆中观察行为模式,用5个维度为你画像(工作方式/沟通模式/关注焦点/能量来源/情感倾向), 生成每日运势和修炼提醒。在本地 ~/.lucky-lobster/ 存储 OB 身份凭据、行为画像、运势历史和偏好设置。 通过 OceanBus 加密通道向 L1 服务发送 5维行为代码、城市级位置、日期和匿名 OpenID, 用于获取节气黄历、匹配经典故事和推荐社区 Skill/公开课。对话内容、项目名、人名永不离开设备。 首次使用自动创建 OceanBus 匿名身份(密码学随机生成,删除 ~/.lucky-lobster/ 即可永久清除)。

ClawHub Agent Skills author: ryanbihai v0.8.0 MIT-0 18 files body ≈ 3 180 tokens Open the sourceclawhub.ai analyzed 31 h ago

从你的对话和记忆中观察行为模式,用5个维度为你画像(工作方式/沟通模式/关注焦点/能量来源/情感倾向), 生成每日运势和修炼提醒。在本地 ~/.lucky-lobster/ 存储 OB 身份凭据、行为画像、运势历史和偏好设置。 通过 OceanBus 加密通道向 L1 服务发送 5维行为代码、城市级位置、日期和匿名…

As a process F 63/100 · Will not run — References files that are not bundled: {url}

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
63/100
Will not run
References files that are not bundled: {url}
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 18. 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}
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "files"
  • note frontmatter-key unknown frontmatter key "required_capabilities"

Process rating: all ten parameters 63/100

Will not run. References files that are not bundled: {url}
  • 0Tools and files. 1 referenced file(s) missing: {url}
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 100Steps. 45 steps
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3180 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • 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)
  • -223 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 277: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 45 items
  • +3Output format is stated explicitly
  • +4Has examples (10 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This is a read-only setlist.fm lookup skill that clearly discloses its API-key and MCP setup requirements.
LLM: benign (high) · VirusTotal: · 9 Jun 2026