SKILLEMALL.ai

AD fund-monitor

T+0 基金 5 分钟级别实时监控,支持批量代码输入,自动生成买入/卖出信号。 **触发场景:** - "监控基金 XXX" - "开始监控这些代码:xxx, xxx, xxx" - "添加 XXX 到监控列表" - "查看监控信号" - "停止监控 XXX" 支持场内 ETF、跨境 QDII、债券 ETF 等 T+0 基金。 技术指标:MACD、KDJ、RSI、布林带、成交量。 通知方式:终端提醒、钉钉、企业微信(可配置)。 ⚠️ 数据有延迟,不构成投资建议。

ClawHub Agent Skills author: newhackerman v1.0.0 MIT-0 16 files · 3 scripts body ≈ 269 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

ReferenceInfrastructuretype 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: 16. 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 "homepage"

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
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (fund-monitor) differs from the folder (t0-fund-monitor)
  • 100Tools and files. No external tools needed
  • 100Steps. 6 steps
  • 100Execution cost. Instruction body is 269 tokens

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

  • +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
  • +5Description quotes 5 example trigger phrases
  • +3Description length 236: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 6 items
  • +4Has examples (2 code blocks)

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

External checks

ClawHub: clean
This skill is a disclosed fund monitoring tool that installs market-data dependencies, stores local watchlists and logs, and can send optional notifications without evidence of hidden or malicious behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026