Research Report Interpretation

Research Report Interpretation is an AI Engineering skill for Claude Code, published by byteseek in Mira.

262 stars45 forkson byteseek/MiraAdded 2026/09/02+1% in starsRepository updated 2026/07/05

agent-workflowai-agentsclaude-codecodexdecision-logearnings-analysisequity-researchevidence-logfinancial-researchinvestment-researchmacro-analysismarket-researchportfolio-managementresearch-workflowsource-trackingthesis-tracking

Install in seconds

Install Research Report Interpretation

Copy Research Report Interpretation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/byteseek/Mira/tree/main/skills/research-report-interpretation ~/.claude/skills/research-report-interpretation

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/byteseek/Mira.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/research-report-interpretation/SKILL.md in byteseek/Mira
Installs to: ~/.claude/skills/research-report-interpretation
Collection: One of 10 skills cataloged from this repository
Category: AI Engineering — 2631 skills

What Research Report Interpretation does

Research Report Interpretation extracts claims, assumptions, valuation drivers, and verification needs from sell-side, institutional, expert, or investor research. Use it to assess what a report adds to a thesis and what still needs cross-checking.

Research Report Interpretation is cataloged under AI Engineering on DirSkills. Research Report Interpretation comes from a repository tagged agent-workflow, ai-agents, claude-code, codex and decision-log.

Documentation

README

Excerpt

Research Report Interpretation Skill

这个 skill 用于解读券商、卖方、机构、专家或投资者研究报告。它的目标不是复述研报，而是把一份报告拆成可验证 claim、隐含假设、预期变量、估值驱动和对 Mira thesis 的增量影响。

研报在 Mira 中默认是 sellside_and_expert_research，通常是 L3 secondary / signal。它可以帮助识别框架、预期差、变量优先级、估值方法和叙事变化，但不能替代公司披露、监管文件、官方数据、市场数据或可复算模型。

Use When

用户提供或指定一份券商研报、机构研报、rating change、target price update、initiation note、industry note、专家研究、投资者信或研究 PDF。
用户问“这篇研报怎么看 / 靠谱吗 / 有什么新东西 / 对 thesis 有什么影响”。
需要从研报中提取可复用方法、变量框架或预期差线索，但当前任务仍围绕某个研究对象，而不是纯方法论研究。
需要把研报结论与已有 Mira thesis、company filing、earnings package、consensus proxy 或市场定价做差异检查。

如果用户问的是“这个研究方法本身是否值得纳入 Mira”，优先进入 loops/methodology-research-loop.md。如果研报解读触发 thesis 状态变化，再 handoff 到 loops/thesis-update-loop.md 或 loops/event-delta-loop.md。

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Research Report Interpretation

What else does byteseek publish alongside Research Report Interpretation?
Research Report Interpretation is one of 10 skills that DirSkills catalogs from byteseek/Mira, the repository it ships in. Its siblings there include Commodity Cycle Analysis, Data Analysis Quality Gate and ETF Listing Analysis. Each one is a separate skill with its own page in this directory, installs the same way Research Report Interpretation does, and is maintained by byteseek in that same repository. The rest of the collection is listed on the byteseek/Mira page.
How does Research Report Interpretation compare to other AI Engineering skills?
Research Report Interpretation ranks #2262 by stars among the 2631 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Research Report Interpretation against them. Open each page to compare what they document and how they install.