SKILLEMALL.ai

BD lol-analyst

英雄联盟数据分析助手。查询召唤师信息、排位数据、对局历史、英雄熟练度,AI智能分析上分策略。需要Riot Games API Key。触发词:查战绩、LOL数据、英雄联盟、排位分析、对局分析、查段位、英雄熟练度、上分建议、lol analyst。

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 9 files body ≈ 617 tokens Open the sourceclawhub.ai analyzed 34 h ago

英雄联盟数据分析助手。查询召唤师信息、排位数据、对局历史、英雄熟练度,AI智能分析上分策略。需要Riot Games API Key。触发词:查战绩、LOL数据、英雄联盟、排位分析、对局分析、查段位、英雄熟练度、上分建议、lol analyst。

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

IntegrationSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
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: 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")
  • note frontmatter-key unknown frontmatter key "env"
  • note frontmatter-key unknown frontmatter key "always"

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 (python) that frontmatter does not declare
  • 100Steps. 14 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 617 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
  • -31 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 123: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a coherent League of Legends stats tool that uses a Riot API key as expected, with a local plaintext config file risk users should understand.
LLM: benign (high) · VirusTotal: · 11 Jun 2026