earnings-report-analysis

earnings-report-analysis is a skill for Claude Code, Codex from byteseek/Mira. It costs 30 tokens per session (4,809 once invoked), scanned A, original, Apache-2.0.

A workflow for analyzing a company's earnings report, which explains its recent financial performance and outlook. It compares the report with earlier results, expectations, guidance, competitors, and the market's reaction.

In plain words
What is it for?
Analyze quarterly, half-year, or annual reports; review earnings calls; compare peer companies; assess guidance and market reaction; and track changes to an investment thesis.
Why use it?
It organizes scattered financial documents and commentary into traceable conclusions. It helps assess whether new results strengthen or weaken an existing investment view.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Analyze quarterly, half-year, or annual reports; review earnings calls; compare peer companies; assess guidance and market reaction; and track changes to an investment thesis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/byteseek/mira/earnings-report-analysis
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 byteseek/Mira --skill earnings-report-analysis
Clone the repo
git clone --depth 1 https://github.com/byteseek/Mira

Made for: Claude Code, Codex.

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 earnings-report-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/byteseek/mira/earnings-report-analysis/github.svg)](https://agentmods.dev/skills/byteseek/mira/earnings-report-analysis)
Your own site
<a href="https://agentmods.dev/skills/byteseek/mira/earnings-report-analysis"><img src="https://agentmods.dev/badge/skills/byteseek/mira/earnings-report-analysis/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 earnings-report-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/byteseek/mira/earnings-report-analysis"><img src="https://agentmods.dev/badge/skills/byteseek/mira/earnings-report-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,809 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00030 $0.04809
Opus 5 $0.00015 $0.02405
Sonnet 5 $0.00006 $0.00962
Haiku 4.5 $0.00003 $0.00481

Measured 12d ago against content hash ef39bd15f04b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

earnings-report-analysis 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 12d 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.

skills/earnings-report-analysis/SKILL.md · 360 lines

How it starts

The opening of the file, as written. The whole thing — 360 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Earnings Report Analysis Skill

这个 skill 用于对单家公司的一份季报、半年报或年报做结构化分析。它服务于 research package,但输出重点从完整投资 memo 收窄到财报质量、经营变化和预期差。

默认时间跨度是 near_term_executionmedium_term_revision。只有当本期财报证据触及长期驱动变量,并且被订单、客户、产能、现金流、同行或产业链证据支持时,才允许把结论升级为 long_term_thesisregime_transition

Use When

  • 需要快速拆解一份新发布的财报
  • 需要复核一个已有 thesis 是否被本期财报强化或削弱
  • 需要比较本期披露与上一期、去年同期、市场预期或管理层指引
  • 需要把财报、业绩会和市场反应整理成可追溯结论

Required Inputs

  • company_name
  • ticker
  • market
  • report_period
  • report_type
  • fiscal_period_end
  • release_date
  • analysis_cutoff_date
  • thesis_horizon
  • prior_thesis_optional
  • peer_company_name
  • peer_ticker
  • peer_report_period
  • peer_selection_reason

Required Source Types

  • L1 财报、公告、业绩新闻稿或监管文件
  • L1L4 业绩会 transcript / prepared remarks / Q&A 摘要
  • L5 价格、估值、市场预期或分析师一致预期
  • L1 至少一家核心竞争对手的同期财报、公告或业绩新闻稿
  • L6 派生计算表在只摘录披露数字时可选;如果输出同比、环比、margin bridge、implied guidance、peer relative quality、valuation delta 或任何影响 thesis/actionability 的数量判断,则必须生成 calculation ledger,并指向上游 L1L5

SEC Filing Boundary

财报分析默认使用 sec_supplement,而不是完整拆 filing。

使用 sec_supplement 的场景:

  • 核验 10-Q / 10-K / 8-K exhibit 是否已发布
  • 补充 revenue、gross margin、operating cash flow、free cash flow、cash、debt、SBC、share count、inventory、RPO/backlog、segment 等事实
  • 用 SEC companyfacts 或具体 filing 纠正聚合数据
  • 标记 10-Q、cash flow、debt schedule、segment 或 transcript 的 source gap

升级到 sec_filing_deep_dive 的场景:

  • release 与 10-Q/10-K/8-K exhibit 的数字或口径冲突
  • adjusted / non-GAAP 口径决定 thesis impact
  • cash conversion、debt/liquidity、SBC/dilution、related-party、customer concentration、risk-factor delta 是核心问题
  • 用户明确要求拆 10-Q、10-K、S-1、proxy 或 8-K exhibit

如果 10-Q/10-K 尚未发布,必须写 source-gap refresh,不得把 release 中缺失的现金流、债务细节或风险因素当作不存在。

Output Package

默认输出到 templates/earnings-analysis-package/ 结构:

  • earnings-analysis.md
  • evidence-log.csv
  • financial-snapshot.csv
  • peer-comparison.csv

如果财报事件用于维护已有 thesis,还必须输出或更新 Thesis System 事件对象:

  • event-delta.md

如果该财报足以改变投资结论,再同步更新标准 research package

  • investment-memo.md
  • case-notes.md
  • evidence-log.csv
  • Step 4.5 critical interaction: one natural-language next question that routes to transcript review, SEC supplement, event delta, thesis update, or an explicit waiver.

Read the full file on GitHub · 360 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. 12d ago First seen · 360 lines · 30 tokens per session scan A ef39bd15f04b

Subscribe to this mod's changes

earnings-report-analysis is a skill published in the GitHub repository byteseek/Mira (268 stars, last pushed 4d ago), licensed Apache-2.0. It adds 30 tokens to every session and 4,809 once invoked, about $0.0002 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 2026-08-30.