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sm-batch-earnings Audit Report | OpenAgentSkill | OpenAgentSkill

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Skills/sm-batch-earnings/Audit

Skill audit report

sm-batch-earnings Audit report.

财报季批量前瞻 / 复盘 skill。用于在一周或一个财报季内批量产出多家覆盖标的的财报前瞻或财报后复盘，按发布日期排序，统一输出格式，方便分析师团队在密集财报季高效响应。

REVIEWED · REVIEWNeeds reviewGenerated Sep 24, 2026Heuristic metadata audit

77

Audit

78

Trust

55

Quality

82

Security

100

Maintain

92

Install

OpenAgentSkill Trust Score

78

The skill layer for AI agents: discover, compare, audit, and install reusable capabilities across Codex, Claude Code, Cursor, and agent runtimes.

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Trust

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Docs About Contact Sponsor API

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Strong shortlist

OpenAgentSkill Trust Score

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

GitHub adoption

WARN

48

25 GitHub stars

Stars/forks activity

WARN

43

25 stars, 2 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

18d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

86

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add joansongjr/investor-harness --skill sm-batch-earnings

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

100

no high-risk permission surface in public metadata

Repository evidence

PASS

86

https://github.com/joansongjr/investor-harness/tree/main/skills/sm-batch-earnings

Review status

WARN

46

AI review approval is missing

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

8 Passed · 12 Needs review

Install path

92

PASS

npx skills add joansongjr/investor-harness --skill sm-batch-earnings

Repository

88

PASS

https://github.com/joansongjr/investor-harness/tree/main/skills/sm-batch-earnings

License

86

PASS

MIT

Maintenance

100

PASS

18d since push

AI review

55

CHECK

Review approval is missing

README/SKILL.md completeness

86

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Install command safety

92

PASS

standard package or runtime install path

Permission surface

100

PASS

no high-risk permission surface in public metadata

Stars/forks activity

43

FIX

25 stars, 2 forks; issue activity unavailable in current metadata

Adoption

42

CHECK

25 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

Financial research output is not financial advice; require human review before any live investment decision
Low GitHub adoption signal
AI review approval is missing
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
GitHub adoption: 25 GitHub stars
Stars/forks activity: 25 stars, 2 forks; issue activity unavailable in current metadata
Review status: AI review approval is missing

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.

Install path

Review the report before installing into production agents.

$ npx skills add joansongjr/investor-harness --skill sm-batch-earnings

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 77/100
Quality: 55/100
Trust: 78/100
Install safety: 92/100
Permission surface: 100/100
Maintenance: 18d since push
Events: No events yet
GitHub stars: 25
Last push: Sep 6, 2026

Agent safety v2

61/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Financial research output is not financial advice; require human review before any live investment decision
61/100 agent safety score

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Filesystem access

medium

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Financial research output is not financial advice; require human review before any live investment decision

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