SKILLEMALL.ai

AC ancient-poetry-master

AI古人诗词大师。覆盖诗人查询、诗词创作(模仿李白/杜甫/苏轼等风格)、诗词鉴赏分析、知识图谱可视化(诗人-朝代-流派-主题多维关系)、典故查询、风格对比6大模块。基于17位核心诗人数据+格律规范+典故库+诗词分析引擎,支持交互式HTML知识图谱和结构化赏析报告。触发词:古诗、唐诗、宋词、诗人、诗词创作、写诗、写词、诗词分析、诗词鉴赏、知识图谱、诗人关系、典故查询、诗词格律、格律检测、李白、杜甫、苏轼

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 7 files body ≈ 893 tokens Open the sourceclawhub.ai analyzed 2 d ago

AI古人诗词大师。覆盖诗人查询、诗词创作(模仿李白/杜甫/苏轼等风格)、诗词鉴赏分析、知识图谱可视化(诗人-朝代-流派-主题多维关系)、典故查询、风格对比6大模块。基于17位核心诗人数据+格律规范+典故库+诗词分析引擎,支持交互式HTML知识图谱和结构化赏析报告。触发词:古诗、唐诗、宋词、诗人、诗词创作、写诗、写词、…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 7. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 72 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 893 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 202: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 72 items
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This skill is a coherent classical Chinese poetry assistant with purpose-matched local data and helper scripts, not evidence of malicious behavior.
LLM: benign (high) · VirusTotal: · 22 Jun 2026