research-report-interpretation

research-report-interpretation is a skill for Claude Code, Codex from byteseek/Mira. It costs 33 tokens per session (2,767 once invoked), scanned A, original, Apache-2.0.

A framework for reading analyst and investor research reports by separating claims, assumptions, valuation drivers, and points that need checking.

In plain words
What is it for?
Use it to review broker reports, rating changes, price-target updates, industry notes, expert research, and investor letters. It helps compare their conclusions with company disclosures, market expectations, and an existing investment thesis.
Why use it?
It helps you avoid simply repeating a report’s conclusions and shows which parts may change an investment view. It also makes clear that a report does not replace company filings, official data, or a reproducible financial model.

Skill for Claude CodeCodex

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

Good fit Use it to review broker reports, rating changes, price-target updates, industry notes, expert research, and investor letters. It helps compare their conclusions with company disclosures, market expectations, and an existing investment thesis.

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Install with agentmods
npx agentmods add skills/byteseek/mira/research-report-interpretation
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 research-report-interpretation
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 research-report-interpretation

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/byteseek/mira/research-report-interpretation"><img src="https://agentmods.dev/badge/skills/byteseek/mira/research-report-interpretation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,767 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Agent Snooping · line 127
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 $0.00033 $0.02767
Opus 5 $0.00016 $0.01384
Sonnet 5 $0.00007 $0.00553
Haiku 4.5 $0.00003 $0.00277

Measured 12d ago against content hash 4303ad11b818, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

research-report-interpretation 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/research-report-interpretation/SKILL.md · 262 lines

How it starts

The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.mdloops/event-delta-loop.md

Required Inputs

  • research_object: ticker、company、industry、macro asset 或 methodology object。
  • market_scope
  • time_boundary
  • report_title
  • provider_or_submitter
  • author_or_team,如可得
  • report_date 或明确的 source_gap
  • report_type: initiation、update、rating_change、target_price_update、industry_note、thematic_note、expert_research、investor_letter、other
  • access_route: public_on_demand、user_material、authorized_provider 或 transient_only
  • license_scope
  • storage_scope
  • redistribution_allowed
  • user_goal: summarize、challenge、extract_claims、compare_to_thesis、update_thesis、reverse_engineer_method
  • completeness_status: full_report、excerpt、screenshot、summary_only、metadata_only

Required Source Types

  • Report source or user material intake record.
  • restricted_source_note when the report is paid, confidential, licensed, user-provided, expert-network, or otherwise restricted.
  • At least one independent L1 / L2 / L5 source when a report claim is used for a durable conclusion.
  • Existing Mira thesis package, evidence log or expectation map when the user asks for thesis impact.
  • Consensus or estimate source, or explicit source_gap, when the interpretation depends on market expectation baseline.

Ingestion And Permission Gate

Read the full file on GitHub · 262 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 · 262 lines · 33 tokens per session scan A 4303ad11b818

Subscribe to this mod's changes

research-report-interpretation is a skill published in the GitHub repository byteseek/Mira (268 stars, last pushed 3d ago), licensed Apache-2.0. It adds 33 tokens to every session and 2,767 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.