SKILLEMALL.ai

BD 股票九剑

股票九剑 · A 股短线抓涨技法。当用户提供 A 股股票代码并要求用九式分析时触发。 支持格式:"/股票九剑 600519" 或 "用股票九剑分析贵州茅台"。 自动获取数据、计算特征、匹配招式、给出综合研判。

ClawHub Agent Skills author: yhc2026 v1.0.0 MIT-0 14 files body ≈ 962 tokens Open the sourceclawhub.ai analyzed 2 d ago

股票九剑 · A 股短线抓涨技法。当用户提供 A 股股票代码并要求用九式分析时触发。 支持格式:"/股票九剑 600519" 或 "用股票九剑分析贵州茅台"。 自动获取数据、计算特征、匹配招式、给出综合研判。

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentAI and agentsData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
65
Run on models
none yet
Process rating
D
41/100
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
This is a copy of a skill from another catalog; the rating counts the canonical one: 股票九剑 (ClawHub)

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: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "trigger"

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (股票九剑) differs from the folder (gupiaojiujiang)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 27 steps
  • 100Execution cost. Instruction body is 962 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 104: 120–800 characters recommended
  • +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
  • +5Description quotes 2 example trigger phrases
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: clean
This skill is a disclosed A-share stock analysis tool that fetches public market data, runs local analysis scripts, and optionally writes chart images, with no evidence of credential access, exfiltration, destructive actions, or hidden persistence.
LLM: benign (high) · VirusTotal: · 9 Jul 2026