Real Skill packageSource verifiedClawHub registry

earnings-deep-analysis

财报深度解读助手。当用户要分析上市公司财报、判断业绩质量、拆解收入与利润变化、分析现金流与营运资本、找出经营异常及原因、生成财报点评或投资汇报 PPT 时使用。产出含核心结论、业绩概览、收入分析、毛利率分析、费用分析、盈利能力、现金流、营运资本、经营异常、异常原因、风险、投资含义的完整 HTML 解读报告，并可衔接 PPT 生成。不要用于：只查单个财务数据点（用金融数据搜索）、只做 CFO 内部经营分析（用财务运营分析）、对单只股票做基本面+估值+技术综合分析（用股票综合分析）、解读 K 线图（用 K 线图解析）、复盘用户历史交易（用投资复盘）。

Identity and source

Publisher attributionxinxindefeiyuregistry owner unverified by skillvetai
Functional categoryAwaiting category reviewreview pending · 0% rule confidence
Package forminstruction with code9 recorded files
Canonical sourceClawHub registryclawhub:xinxindefeiyu:earnings-deep-analysis
Open canonical source ↗

Platform declarations

These states come from the source or distribution context. None of the entries below are SkillVetAI compatibility test results.

OpenClawnative officialProvenance: registry distribution

Independent structural checks

These checks parse the fixed package against dated platform rules. They do not execute the Skill or verify task behavior.

Claude Codepasses structure
Checker 0.1.0 · agent-skills-2026-08-13+claude-code-docs-2026-08-13 · 9/20/2026.claude/skills/earnings-deep-analysis

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenAI Codexpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+codex-docs-2026-08-13 · 9/20/2026.agents/skills/earnings-deep-analysis

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

OpenClawpasses structure
Checker 0.1.0 · agent-skills-2026-08-13+openclaw-docs-2026-08-13 · 9/20/2026skills/earnings-deep-analysis

Runtime, accounts, dependencies, permissions, network behavior and task quality remain untested.

Installation and inspection

This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.

clawhub install @xinxindefeiyu/earnings-deep-analysis
clawhub inspect @xinxindefeiyu/earnings-deep-analysis --version 1.0.0

Security evidence

SkillVetAI static result: no findings detected

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Status
completed
Coverage
full text content
Files
9 / 9 inspected as text
Checked
9/20/2026, 4:09:55 PM
Scanner
0.1.3
Policy
1.0.3
3 inferred permission indicators
  • shell execution — automatically inferred
  • network access — automatically inferred
  • filesystem read — automatically inferred
2 dependency and API indicators
  • api: cdn.example.com
  • api: clawhub.ai
External clawhub result: clean

This is registry-supplied evidence for the recorded release, not an independent SkillVetAI scan. Check the canonical source for the full report, scanner versions, scope, and current moderation state.

Evidence checked
9/20/2026, 9:23:03 AM
Release binding
Matches this record
  • vt: clean
  • skillspector: suspicious
  • llm: clean

Recorded files

The catalog stores hashes and an inventory summary for change detection. It does not republish the package contents.

Package content hashsha256:db9f7e077d33d249b0a2cb0e0f67f5a5fc3ce7d543a27f05295aa18a1a468b79
Show up to 9 recorded paths
  • LICENSE.txt
  • outputs/README.md
  • references/analysis-framework.md
  • references/anomaly-checklist.md
  • references/output-template.md
  • scripts/earnings_lint.py
  • scripts/tests/test_earnings_lint.py
  • skill-card.md
  • SKILL.md

Source changelog

Initial release: Powerful HTML-reporting automation for deep earnings analysis. - Generates a 13-section HTML report covering income, margins, costs, profitability, cash flows, working capital, anomalies, risks, and investment implications. - Accepts financial reports (PDF/image/text), research notes, key business data, or company+period with auto web search fallback. - Strict fact-vs-opinion separation and full data source tagging; no invented numbers or investment recommendations. - Includes automated QA checks (hard gate, earnings_lint.py) for report completeness and validity. - Optional one-click link to investment presentation PPT generation.