SKILLEMALL.ai

BF fupan

A股每日收盘复盘。按固定六段主结构输出:盘面综述、题材预期、热点梳理、连板容量弹性(含仓位与情绪票)、近期情绪龙头跟踪、明日锚定龙头(超短连板竞价与预期差)。 触发词:复盘、今日盘面、收盘总结、明日预期、盘面分析、题材梳理、锚定龙头、明日龙头。 用户发送收盘截图、板块涨跌、自选股列表或口述当日行情时也触发。

ClawHub Agent Skills author: Albert-MK v0.1.3 MIT-0 2 files body ≈ 1 699 tokens Open the sourceclawhub.ai analyzed 2 d ago

A股每日收盘复盘。按固定六段主结构输出:盘面综述、题材预期、热点梳理、连板容量弹性(含仓位与情绪票)、近期情绪龙头跟踪、明日锚定龙头(超短连板竞价与预期差)。 触发词:复盘、今日盘面、收盘总结、明日预期、盘面分析、题材梳理、锚定龙头、明日龙头。 用户发送收盘截图、板块涨跌、自选股列表或口述当日行情时也触发。

As a process F 31/100 · Will not run — References files that are not bundled: examples.md

ProcedureSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: examples.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 0. 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")
  • warning missing-ref reference to a missing file: examples.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: examples.md
  • 0Tools and files. 1 referenced file(s) missing: examples.md
  • 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
  • 40Consistency. Frontmatter name (fupan) differs from the folder (ashare-dailyreview)
  • 100Steps. 38 steps
  • 100Execution cost. Instruction body is 1699 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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 154: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 38 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
This skill is a disclosed A-share market recap template with trading-oriented analysis, but it does not install code, persist, access credentials, or perform actions on accounts.
LLM: benign (high) · VirusTotal: · 13 Aug 2026