SKILLEMALL.ai

BC self-relationship

帮助一个人更好地理解自己、接纳自己、调整自己,并在现实中做出更适合自己的选择。适用于用户谈论"与自己相处"、"自我关系"、"自我接纳"、"自我理解"、"认识自己"、"自我成长"、self-relationship、self-acceptance、self-understanding、self-growth 等话题时。不要试图把人变成"更完美的人",不要把测试结果变成定义自己的标签。

ClawHub Agent Skills author: Alex v0.1.0 MIT-0 9 files body ≈ 3 915 tokens Open the sourceclawhub.ai analyzed 3 d ago

帮助一个人更好地理解自己、接纳自己、调整自己,并在现实中做出更适合自己的选择。适用于用户谈论"与自己相处"、"自我关系"、"自我接纳"、"自我理解"、"认识自己"、"自我成长"、self-relationship、self-acceptance、self-understanding、self-growth…

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
C
63/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
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.
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: 9. 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 63/100

  • 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
  • 40Result and completion. Does not say what the result is
  • 50When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 130 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3915 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
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 192: enough signal without eating the budget
  • +4Structure: 89 headings
  • +3Step-by-step instructions: 130 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
This is a coherent self-reflection skill with no executable behavior, but users should treat it as educational support rather than crisis or clinical care.
LLM: benign (high) · VirusTotal: · 25 Aug 2026