SKILLEMALL.ai

AC fund-flow

资金流向分析工具 v1.1.0。分析股票/板块的主力资金净流入排行、 散户资金对比、净额排序。支持资金趋势检测(3/5/10日)、 板块聚合分析、多时间维度(日/周/月)、与指数对比、强度评分。 Use when: 需要分析资金流向趋势、 查看主力资金动向、板块资金对比、资金强度评分。 🎉 v1.1.0 新增: - --trend: 资金趋势检测(3/5/10日方向 + 持续性) - --sector: 板块聚合分析(按板块汇总资金) - --timeframe: 多时间维度(day/week/month/year) - --compare: 与指数/大盘对比(跑赢/跑输) - 资金强度评分(主力占比、持续性、背离度) - --chart: ASCII趋势图 - 主力流入占比指标 触发关键词:资金流向、主力资金、板块排行、股票分析、资金趋势 适用范围:CSV 资金流向数据(日频) 运行模式:纯本地

ClawHub Agent Skills author: ChengQian v1.0.0 MIT-0 7 files body ≈ 502 tokens Open the sourceclawhub.ai analyzed 24 h ago

资金流向分析工具 v1.1.0。分析股票/板块的主力资金净流入排行、 散户资金对比、净额排序。支持资金趋势检测(3/5/10日)、 板块聚合分析、多时间维度(日/周/月)、与指数对比、强度评分。 Use when: 需要分析资金流向趋势、 查看主力资金动向、板块资金对比、资金强度评分。 🎉 v1.1.0 新增…

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

ProcedureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
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

    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

    ✓ No remarks against the Agent Skills spec

    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. 7 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 502 tokens
    • 100Running it twice. No mutating operations
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 408: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 7 items
    • +4Has examples (2 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    This skill is a local CSV fund-flow analysis tool and does not show hidden network access, credential use, persistence, or destructive behavior.
    LLM: benign (high) · VirusTotal: · 19 Jul 2026