Skill audit report

capital-rotation Audit report.

Use when reading today's US-market capital flow across multiple sectors to identify rotation direction — e.g. "今天资金流向", "板块强弱", "rotation map", "卖芯买云", "where is money moving today", "scan flows across sectors". Produces a cross-section snapshot of net inflows by cohort (indices / semis / software-cloud / mega-tech / AI applications), names the dominant narrative, and writes a dated journal file. Different from `market-session-tracker` (intraday live monitoring of a single watchlist) — this is a one-shot end-of-session rotation read.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 7, 2026Heuristic metadata audit
74
Audit
66
Trust
68
Quality
75
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

66
Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

62

303 GitHub stars

Stars/forks activity

WARN

57

303 stars, 33 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

NOASSERTION

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

64

command execution surface, network or browser surface

Install availability

PASS

92

npx skills add kansoku-trade/kansoku --skill capital-rotation

Install command safety

PASS

92

standard package or runtime install path

Permission surface

WARN

48

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/kansoku-trade/kansoku/tree/main/.claude/skills/capital-rotation

Review status

INFO

66

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 16 Needs review

Install path

92

PASS

npx skills add kansoku-trade/kansoku --skill capital-rotation

Repository

88

PASS

https://github.com/kansoku-trade/kansoku/tree/main/.claude/skills/capital-rotation

License

86

PASS

NOASSERTION

Maintenance

88

PASS

2mo since push

AI review

55

CHECK

Unit inconsistency: SKILL.md states units are ambiguous and instructs not to convert (no 亿), but the template uses 亿 in tables and examples.

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

64

CHECK

command execution surface, network or browser surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

48

FIX

shell or command execution, filesystem or document access

Stars/forks activity

57

FIX

303 stars, 33 forks; issue activity unavailable in current metadata

Adoption

68

INFO

303 GitHub stars

Financial decision safety

58

CHECK

Research-only use: do not treat output as financial advice or execute a position without human approval.

Warnings

  • Permission surface may require sandboxing
  • Financial research output is not financial advice; require human review before any live investment decision
  • Unit inconsistency: SKILL.md states units are ambiguous and instructs not to convert (no 亿), but the template uses 亿 in tables and examples.
  • Description mentions an 'AI applications' cohort, but the standard cohorts table does not include it.
  • References to 'trading-discipline' and 'TD-UNIT-01' are not included in the skill, making the instruction incomplete.
  • The template uses '亿' for net flows, conflicting with the skill's explicit warning against silent conversion.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 303 stars, 33 forks; issue activity unavailable in current metadata
  • Permission surface: shell or command execution, filesystem or document access

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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