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AD financial-edu-david

A股上市公司财务分析全流程工具包。覆盖年报采集、三表提取、指标计算、可视化看板、数据核对的全链路。用于对A股上市公司进行近3-5年财务经营状况综合分析,包括年报PDF下载(巨潮资讯网)、合并资产负债表/利润表/现金流量表提取(PDF→xlsx)、财务指标计算(偿债/营运/盈利/发展/现金流/杜邦分析)、ECharts动态可视化看板(HTML)及东方财富F10数据交叉核对。触发场景:(1) "分析XX公司财务状况""XX股票财务分析""XX年报分析"等财务分析需求 (2) "下载XX年报" (3) "生成财务可视化看板" (4) "核对XX财务数据"。

ClawHub Hermes author: Davidyin76 v1.0.0 MIT-0 8 files body ≈ 1 239 tokens Open the sourceclawhub.ai analyzed 2 d ago

A股上市公司财务分析全流程工具包。覆盖年报采集、三表提取、指标计算、可视化看板、数据核对的全链路。用于对A股上市公司进行近3-5年财务经营状况综合分析,包括年报PDF下载(巨潮资讯网)、合并资产负债表/利润表/现金流量表提取(PDF→xlsx)、财务指标计算(偿债/营运/盈利/发展/现金流/杜邦分析)、ECharts…

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

ProcedureExcelFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
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.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 278 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "agent_created"

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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 48 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1239 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +3Description length 278: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 48 items
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill downloads public A-share annual reports, extracts financial tables, and creates local analysis outputs in a way that matches its stated purpose.
LLM: benign (high) · VirusTotal: · 23 Jun 2026