management-commentary-writing

management-commentary-writing is a skill for Claude Code from vivy-yi/finance-skills. It costs 93 tokens per session (1,769 once invoked), scanned A, original, MIT.

A writing workflow for the explanatory text in a management report, including performance summaries, business highlights, risks, and the next period's outlook.

In plain words
What is it for?
Use it to draft commentary on revenue, profit, margins, KPIs, risks, corrective actions, strategy progress, and significant events.
Why use it?
It turns financial and operating figures into a clear explanation of what changed, why it changed, and what deserves attention.

Skill for Claude Code

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

Good fit Use it to draft commentary on revenue, profit, margins, KPIs, risks, corrective actions, strategy progress, and significant events.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/vivy-yi/finance-skills/management-commentary-writing/github.svg)](https://agentmods.dev/skills/vivy-yi/finance-skills/management-commentary-writing)
Your own site
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/management-commentary-writing"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/management-commentary-writing/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 management-commentary-writing

Your own site · 80×15
<a href="https://agentmods.dev/skills/vivy-yi/finance-skills/management-commentary-writing"><img src="https://agentmods.dev/badge/skills/vivy-yi/finance-skills/management-commentary-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,769 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 $0.00093 $0.01769
Opus 5 $0.00046 $0.00885
Sonnet 5 $0.00019 $0.00354
Haiku 4.5 $0.00009 $0.00177

Measured 9d ago against content hash a94688b3ef0d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

management-commentary-writing 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/management-report/skills/management-commentary-writing/SKILL.md · 216 lines

How it starts

The opening of the file, as written. The whole thing — 216 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(写作风格/披露标准/字数要求)。


/management-commentary-writing — 管理报告文字撰写

Examples

→ 示例:用户说"帮我写一段管理层对毛利率下降的解释,要客观但不显得甩锅",系统应调用本技能,生成管理层 Commentary 草稿。

→ 示例:用户说"管理报告的 KPI 部分需要一个执行摘要,说明未达标原因和整改措施",系统应调用本技能,生成 KPI 执行摘要。

→ 示例:用户说"这次 Board Deck 里业务和财务对收入数字口径不一致,帮我写一段协调说明",系统应调用本技能,生成跨部门数据协调 Commentary。

第一步:信息梳理

核心数据确认:

□ 财务核心数据:
  → 收入:[X] 万(vs 预算 [+/-X]%,vs 去年 [+/-X]%)
  → 毛利:[X] 万(毛利率 [X]%)
  → EBITDA:[X] 万(EBITDA 率 [X]%)
  → 净利润:[X] 万

□ 运营核心数据:
  → [指标1]:[X](vs 目标 [+/-X]%)
  → [指标2]:[X](vs 目标 [+/-X]%)

须涵盖的核心信息:

□ 必选内容:
  → 业绩概述:[X] 段
  → 业务亮点:[X] 点
  → 风险说明:[X] 点
  → 下期展望:[X] 段

□ 可选内容(如有特殊事项):
  → 战略进展:[描述]
  → 重大事件:[描述]

第二步:业绩概述撰写

业绩概述框架:

□ 第一段(总起):
  → 本期业绩一句话总结:[描述]
  → 整体评价:[超预期/符合/低于预期]

□ 第二段(收入):
  → 收入表现:[描述]
  → 增长驱动:[描述 1-2 点]

□ 第三段(利润):
  → 利润表现:[描述]
  → 关键变化:[描述 1-2 点]

撰写示例(参考风格):

"本期收入同比增长[X]%,主要得益于[A业务]强劲增长及[B产品]市场份额提升。
毛利率[同比提升/下降][X]个百分点,主要受[原材料价格/产品组合变化]影响。
整体业绩[超预期/符合/低于预期],主要偏差在于[...]。"

第三步:业务亮点提炼

亮点提炼(通常 2-4 个):

□ 亮点 1:[标题] — [数据佐证]
  → 文字表述:"[描述,如'某业务线收入同比增长[X]%,连续[X]个季度保持[20%+增速],得益于[...]']"

□ 亮点 2:[...]

亮点选择标准:

□ 优先选择:
  → 超预期的亮点(vs 预算/目标)
  → 趋势向好的指标(连续改善)
  → 战略举措的进展

□ 谨慎提及:
  → 低于预期但管理层有合理解释
  → 一次性因素导致的正向贡献

第四步:风险说明撰写

风险说明原则:

□ 平衡性:
  → 既要诚实披露风险,也不制造不必要的焦虑
  → 避免"报喜不报忧",也避免过度悲观

□ 具体性:
  → 避免泛泛而谈,要有具体数据和影响
  → 说明已采取或计划采取的应对措施

风险说明框架:

□ 已知风险(可量化):
  → 风险 1:[描述] — 影响 [量化描述] — 应对 [措施]

□ 潜在风险(监控中):
  → 风险描述:[描述]
  → 监控指标:[指标]
  → 应对准备:[措施]

撰写示例:

"本期[某指标]表现承压,主要受[外部因素A]和[内部因素B]影响。
我们将通过[具体措施]应对,预计将在[时间]改善。
同时,我们密切关注[潜在风险],已制定[应对预案]。"

第五步:下期展望撰写

展望撰写原则:

□ 适度乐观但不过度承诺:
  → 提供方向性指引,而非精确预测
  → 说明关键假设和前提条件

□ 可量化 + 定性结合:
  → 量化指引:收入 [X-Y] 万,[+/-X]%
  → 定性指引:重点方向 [描述]

撰写示例:

"展望[下期],[核心业务]预计保持[稳定/增长]趋势。
基于当前可见的订单和项目,我们预计[下期指标]将[描述]。
上述展望基于以下假设:[假设1]、[假设2]。
我们将持续关注[不确定因素]的发展。"

第六步:生成完整文字稿

═══════════════════════════════════════
管理报告文字稿
期间:[YYYY 年 X 月/季度]
版本:V[X]
字数:约 [X] 字
═══════════════════════════════════════

【执行摘要】(约 [X] 字)

[文字内容]

【业务亮点】(约 [X] 字)

• 亮点 1:[标题]
  [描述,含数据]

• 亮点 2:[标题]
  [描述,含数据]

【风险说明】(约 [X] 字)

• 已知风险:[描述] — 影响 [量化] — 应对 [措施]
• 潜在风险:[描述] — 监控 [指标] — 准备 [预案]

【下期展望】(约 [X] 字)

[文字内容,含量化指引和关键假设]

═══════════════════════════════════════
置信度:[✅ 高 / ⚠️ 中 / 🔴 低]
审阅建议:[CFO 审核重点关注:风险说明措辞 / 下期展望措辞]
═══════════════════════════════════════

Read the full file on GitHub · 216 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 · 216 lines · 93 tokens per session scan A a94688b3ef0d

Subscribe to this mod's changes

management-commentary-writing is a skill published in the GitHub repository vivy-yi/finance-skills (29 stars, last pushed 3mo ago), licensed MIT. It adds 93 tokens to every session and 1,769 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.

Related

Other skills, from other repositories

wealth-structure

A framework for thinking about wealth through ownership, responsibility, leverage, and avoiding risks that could end your progress.

kangarooking/cangjie-skill · 141 tokens

alpha-vantage

Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market…

foryourhealth111-pixel/Vibe-Skills · 126 tokens

hedgefundmonitor

Query the OFR (Office of Financial Research) Hedge Fund Monitor API for hedge fund data including SEC Form PF aggregated statistics, CFTC Traders in Financial Futures, FICC Sponsored Repo volumes, and FRB SCOOS dealer financing terms. Access time series data on hedge fund size, leverage, counterparties, liquidity…

foryourhealth111-pixel/Vibe-Skills · 123 tokens

edgartools

Python library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly reports (10-K…

foryourhealth111-pixel/Vibe-Skills · 110 tokens

asc-ppp-pricing

Set territory-specific pricing for subscriptions and in-app purchases using current asc setup, pricing summary, price import, and price schedule commands. Use when adjusting prices by country or implementing localized PPP strategies.

rorkai/app-store-connect-cli-skills · 45 tokens

fred-economic-data

Query FRED (Federal Reserve Economic Data) API for 800,000+ economic time series from 100+ sources. Access GDP, unemployment, inflation, interest rates, exchange rates, housing, and regional data. Use for macroeconomic analysis, financial research, policy studies, economic forecasting, and academic research requiring…

foryourhealth111-pixel/Vibe-Skills · 75 tokens