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.
npx skills add vivy-yi/finance-skills --skill ir-disclosure-managementgit clone --depth 1 https://github.com/vivy-yi/finance-skillsWrote 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.
[](https://agentmods.dev/skills/vivy-yi/finance-skills/ir-disclosure-management)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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]
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.
- 9d ago First seen · 222 lines · 98 tokens per session scan A 51780e2444cf
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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