SKILLEMALL.ai

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技能使用积分榜 v1.3 — OpenClaw 技能使用追踪与积分管理系统。 触发场景: (1) 用户询问技能使用榜单、积分统计(日榜/周榜/月榜/年榜/总榜) (2) 用户要求查看技能调用记录、错误日志 (3) 用户要求查看某技能的使用详情 (4) 用户要求生成每日/历史积分报告 (5) 用户询问"今天情况如何"、"工作流复盘" 核心功能: - 支持日榜、周榜、月榜、年榜、总榜五种榜单模式 - 每次技能调用自动记录积分 (+1 * 调用时间秒/权重) - 记录调用结果和错误日志 - 根据技能文件复杂度计算权重(归一化到0.95~0.9975,差距≤5%) - 每日定时生成积分榜单快照 - 每日定时复盘:找出积分冠军技能并固化最佳工作流 - 支持实时查询当前榜单和历史数据 优先级:第一级(最高优先级)

ClawHub Agent Skills author: Luisclaw v1.3.0 MIT-0 5 files body ≈ 678 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 55/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
C
55/100
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: 5. 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 55/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 4 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 678 tokens
  • 100Running it twice. No mutating operations
  • 100Progress reporting. Reports progress

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 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 355: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 4 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This skill is mostly a local usage scoreboard, but it also includes under-disclosed code that can scan OpenClaw gateway logs and persist usage/error history.
LLM: suspicious (high) · VirusTotal: · 29 May 2026