SKILLEMALL.ai

AD wenwan-authentication

文玩鉴定技能,支持绿松石、蜜蜡、南红、和田玉等文玩珠宝的真伪鉴别、品质评估与市场估价。 当用户需要鉴定文玩真伪、判断品质等级、评估市场价值、或需要购买建议时使用此技能。 触发场景包括:鉴定绿松石真假、判断是否原矿/注胶/染色、评估瓷度等级、给文玩估价、 识别文玩优化处理手段、或其他文玩珠宝(蜜蜡、南红、和田玉、翡翠等)的鉴定需求。

ClawHub Agent Skills author: mngg v1.0.0 MIT-0 3 files body ≈ 361 tokens Open the sourceclawhub.ai analyzed 2 d ago

文玩鉴定技能,支持绿松石、蜜蜡、南红、和田玉等文玩珠宝的真伪鉴别、品质评估与市场估价。 当用户需要鉴定文玩真伪、判断品质等级、评估市场价值、或需要购买建议时使用此技能。 触发场景包括:鉴定绿松石真假、判断是否原矿/注胶/染色、评估瓷度等级、给文玩估价、…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
D
46/100
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 description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 29 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 361 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 166: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 29 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
The skill is a coherent jewelry authentication guide, but it needs Review because it asks users to expose item photos via public URLs and recommends tests that could damage valuable items.
LLM: suspicious (high) · 12 Aug 2026