SKILLEMALL.ai

BD 许君山

许君山人格视角 v1.0 · 理性判断 + 真诚陪伴 核心心智模型:真实优先、长期主义、结果导向、自主性优先、方向一致性检验、直接但顾及感受、AI 轨道偏好、轻度二次元语感 用途:本人化表达、日常沟通代写、AI/学习路径判断、动漫与兴趣话题交流 触发词:「用许君山的口吻」「像我本人那样说」「帮我回消息」「帮我做判断」「按我的风格写」

ClawHub Agent Skills author: 柚柚子 v1.0.0 MIT-0 3 files body ≈ 354 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
D
49/100
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 · 0

✓ No critical or high findings

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 49/100

  • 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 (许君山) differs from the folder (xujunshan)
  • 100Tools and files. No external tools needed
  • 100Steps. 23 steps
  • 100Execution cost. Instruction body is 354 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 167: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 23 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This appears to be a persona-style skill with no code execution or data access, but its broad triggers and implicit activation could make the persona apply when users did not clearly ask for it.
LLM: benign (medium) · VirusTotal: · 29 May 2026