SKILLEMALL.ai

BB lovecoach

LoveCoach is an AI love coach for people navigating attraction, attachment, cold wars, breakup recovery, and mixed signals. It gives relationship advice grounded in dating psychology, helping you plan first dates, read situationships, repair fights, handle rejection, and build healthier patterns before, during, and after a relationship. 恋爱教练、关系分析、冷战处理、分手恢复、依恋风格。

ClawHub Agent Skills author: wes v1.4.0 MIT-0 4 files · 1 script body ≈ 4 700 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 72/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
B
72/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 4. 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 72/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 21 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 14 branches
  • 70Execution cost. Instruction body is 4700 tokens
  • 85Steps. 166 steps, 1 vague phrases
  • 100Tools and files. No external tools needed
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • -225 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 364: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 166 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
This is mostly a prompt-only dating coach, but it needs Review because it includes boundary-risky relationship advice and under-explained handling of intimate chat and screenshot data.
LLM: suspicious (high) · VirusTotal: · 29 May 2026