ir-disclosure-management

ir-disclosure-management is a skill for Claude Code from vivy-yi/finance-skills. It costs 98 tokens per session (1,981 once invoked), scanned A, original, MIT.

A workflow for reviewing investor-relations disclosures, including regular reports, urgent announcements, presentations, and news releases. It checks whether information is accurate, complete, appropriately timed, and ready for regulatory review.

In plain words
What is it for?
It helps review earnings forecasts, acquisition announcements, investor presentations, confidentiality concerns, disclosure timing, and risks from leaked financial information.
Why use it?
Poorly handled disclosures can omit important information, reveal confidential details, or give some investors information unfairly. This process provides checks before material is released.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: mentions CLAUDE.md.

Good fit It helps review earnings forecasts, acquisition announcements, investor presentations, confidentiality concerns, disclosure timing, and risks from leaked financial information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vivy-yi/finance-skills/ir-disclosure-management
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add vivy-yi/finance-skills --skill ir-disclosure-management
Clone the repo
git clone --depth 1 https://github.com/vivy-yi/finance-skills

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for ir-disclosure-management

README.md
[![agentmods](https://agentmods.dev/badge/skills/vivy-yi/finance-skills/ir-disclosure-management/github.svg)](https://agentmods.dev/skills/vivy-yi/finance-skills/ir-disclosure-management)
Your own site
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/ir-disclosure-management"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/ir-disclosure-management/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for ir-disclosure-management

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/ir-disclosure-management"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/ir-disclosure-management.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 98 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,981 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00098 $0.01981
Opus 5 $0.00049 $0.00991
Sonnet 5 $0.00020 $0.00396
Haiku 4.5 $0.00010 $0.00198

Measured 9d ago against content hash 51780e2444cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ir-disclosure-management scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

finance-skills/skills/investor-relations/skills/ir-disclosure-management/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

加载上下文

首次使用时: 读取 ../../CLAUDE.md 获取场景级配置(披露标准/保密制度/审核流程)。


/ir-disclosure-management — IR 信息披露管理

Examples

→ 示例:用户说"我们有重大收购在谈,IR 什么时候可以开始和投资者沟通",系统应调用本技能,制定重大事项的信息披露时间窗口建议。

→ 示例:用户说"帮我们审一下这份业绩预告,有没有选择性披露的风险",系统应调用本技能,审阅业绩预告的合规性。

→ 示例:用户说"社交媒体上有人泄露了未经公告的财务数据,怎么办",系统应调用本技能,评估泄露事件的 IR 影响并制定应对方案。

第一步:披露类型确认

披露类型判断:

□ 披露类型:
  → [定期报告]:年报/半年报/季报
  → [临时公告]:重大事项/业绩预告/股价异常波动
  → [IR 材料]:路演材料/投资者PPT/新闻稿
  → [其他]:自愿性披露

□ 是否为必须披露:[✅ 是(监管要求)/ ⚠️ 自愿性披露 / 🔴 禁止披露]
□ 披露依据:[具体法规条款]

信息披露标准核对:

□ 信息重要性标准(是否构成"重大信息"):
  → 对股价可能产生重大影响:[是/否]
  → 对投资者决策可能产生重大影响:[是/否]
  → 信息确定性程度:[高/中/低]

□ 保密性检查:
  → 信息是否已处于公开状态:[是/否]
  → 是否须申请豁免保密:[是/否 — 依据]

第二步:披露合规审核

合规审核清单:

□ 披露内容审核:
  → 信息准确性:[✅ 已核实 / ⚠️ 待核实]
  → 信息完整性:[✅ 完整 / ⚠️ 缺失部分]
  → 表述中立性:[✅ 中立 / ⚠️ 存在倾向性表述]
  → 风险披露充分性:[✅ 充分 / ⚠️ 不足]

□ 披露格式审核:
  → 符合监管格式要求:[✅ 是 / ⚠️ 需调整]
  → 必要声明/脚注:[✅ 已包含 / ⚠️ 缺失]
  → 数据单位/口径:[✅ 统一 / ⚠️ 不一致]

□ 禁止事项检查:
  → 禁止虚假陈述:[✅ 合规]
  → 禁止重大遗漏:[✅ 合规]
  → 禁止内幕信息泄露:[✅ 合规]

审核问题记录:

□ 发现问题:[X] 个
  → 问题 1:[描述] — 严重性 [高/中/低] — [✅ 已修正 / ⏳ 待修正]
  → 问题 2:[描述] — 严重性 [高/中/低] — [✅ 已修正 / ⏳ 待修正]

第三步:披露时机与方式

披露时机选择:

□ 最佳披露时间:[盘前/盘中/盘后]
□ 披露时间依据:
  → [在交易时段披露(如有充分理由)]
  → [在非交易时段披露(常规做法,减少波动)]

□ 是否须申请停牌:[是/否 — 原因]
□ 停牌时长:[X] 天(如申请)

披露渠道确认:

□ 法定披露渠道:
  → 交易所信息披露系统:[✅ 已确认接入]
  → 交易所网站:[✅ 已确认]
  → 证监会指定媒体:[✅ 已确认]

□ IR 补充渠道(如适用):
  → 公司官网投资者关系栏:[✅ 同步发布]
  → 新闻稿发布:[✅/⚠️/🔴]
  → 投资者电话会议:[计划中/不计划]

第四步:内幕信息管理

内幕信息确认:

□ 是否涉及内幕信息:[是/否]
  → 是否属于《证券法》规定的内幕信息:[是/否]
  → 内幕信息知情人范围:[X] 人

□ 内幕信息管理措施:
  → 信息隔离(Chinese Wall):[✅ 已执行]
  → 知情人登记:[✅ 已完成 / ⏳ 待完成]
  → 禁止交易期提醒:[✅ 已发出]

信息披露前后的市场管理:

□ 披露前:
  → 是否须通知交易所:[是/否]
  → 是否须准备投资者问答:[✅ 已准备 / ⏳ 待准备]
  → 员工交易限制提醒:[✅ 已发出]

□ 披露后:
  → 舆情监控:[✅ 已部署 / ⏳ 待部署]
  → 市场反应分析:[计划时间:[时间]]
  → 补充披露评估:[是/否 — 依据]

第五步:IR 配套工作

IR 配套行动:

□ 投资者电话会议(如计划):
  → 会议时间:[时间]
  → 参会高管:[名单]
  → 会议接入方式:[电话/视频]

□ 分析师简报(如适用):
  → 简报时间:[时间]
  → 参会分析师:[X] 家机构
  → 简报内容:[描述]

□ 媒体沟通(如适用):
  → 是否同步媒体稿:[是/否]
  → 媒体范围:[财经媒体/行业媒体/大众媒体]
  → 口径统一确认:[✅ 已确认]

Read the full file on GitHub · 222 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 222 lines · 98 tokens per session scan A 51780e2444cf

Subscribe to this mod's changes

ir-disclosure-management is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 98 tokens to every session and 1,981 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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