industry-concept-analysis

industry-concept-analysis is a skill for Claude Code, Codex from byteseek/Mira. It costs 31 tokens per session (2,246 once invoked), scanned A, original, Apache-2.0.

A research method for turning a vague industry idea—such as GPUs, memory, or advanced packaging—into a map of its parts, suppliers, customers, bottlenecks, and money-making areas.

In plain words
What is it for?
Use it to define an industry concept, study supply and demand, compare pricing power and growth potential across companies, identify evidence gaps, and select candidates for deeper investment research.
Why use it?
It prevents research from starting with popular companies or slogans before clarifying what the concept is, where it fits in the supply chain, and who has leverage.

Skill for Claude CodeCodex

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

Good fit Use it to define an industry concept, study supply and demand, compare pricing power and growth potential across companies, identify evidence gaps, and select candidates for deeper investment research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/byteseek/mira/industry-concept-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 industry-concept-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 industry-concept-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/byteseek/mira/industry-concept-analysis/github.svg)](https://agentmods.dev/skills/byteseek/mira/industry-concept-analysis)
Your own site
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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 industry-concept-analysis

Your own site · 80×15
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Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,246 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 $0.00031 $0.02246
Opus 5 $0.00015 $0.01123
Sonnet 5 $0.00006 $0.00449
Haiku 4.5 $0.00003 $0.00225

Measured 12d ago against content hash a5fef95f6a28, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

industry-concept-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/industry-concept-analysis/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Industry Concept Analysis Skill

这个 skill 用于把一个不清晰的产业概念快速拆成可研究、可跟踪、可映射到标的的产业链框架。

典型输入包括:

  • 存储
  • CPU
  • GPU
  • ABF
  • HBM
  • CPO
  • 液冷
  • 先进封装

它不是单票研究,也不是主题营销材料。它的目标是回答:

这个概念到底是什么,产业链谁负责什么,利润池和瓶颈在哪,哪些环节有定价权和放量弹性,哪些公司最值得进入下一轮单票研究。

Use When

  • 用户提到一个产业、技术、材料、零部件、工艺、设备或供应链概念,但概念边界不清晰
  • 需要先建立产业地图,再决定研究哪些公司
  • 需要比较上下游环节的议价权、供需状态、放量路径和盈利弹性
  • 需要识别紧供需平衡、高溢价、高收益或潜在反转环节
  • 需要把 T0/T1 机构式框架、产业实践经验和第一性思考沉淀成可复用研究流程

Required Inputs

  • concept_name
  • research_question
  • market_scope 例如 global / US / CN / multi
  • research_cutoff_date
  • thesis_horizon
  • depth 可选:quick_map / standard / deep_dive
  • focus 可选:supply_shortage / pricing_power / volume_ramp / stock_mapping / risk_scan

Core Principle

先定义概念边界,再画产业链;先判断利润池和瓶颈,再筛公司。

输出顺序必须服务实战阅读:先给一页结论和股票映射,再给完整底稿。完整产业链、证据和公司表是 diligence,不应该挡在最前面。

不要直接从热门公司或热门叙事出发。必须先回答:

  1. 这个概念在物理、技术、工艺或商业流程中到底解决什么问题。
  2. 它位于完整产业链的哪一层。
  3. 需求端由谁真正拉动。
  4. 供给端由谁真正卡住。
  5. 哪一层能提价,哪一层只能放量,哪一层只是被动代工或交易拥挤。

Analysis Sequence

0. One-Page Industry Map

正式报告最前面必须先给 One-Page Industry Map,用于 PM / 交易员 / 快速复盘阅读。

必须回答:

  • one_sentence_definition 一句话说清楚这个概念是什么。
  • current_judgment 当前是紧缺、均衡、宽松,还是结构性分化。
  • where_is_tight 紧在哪里,不紧在哪里。
  • best_economic_layers 哪些环节真正留利润。
  • best_stock_proxies 哪些上市公司最能映射这个概念,区分稳健、弹性、项目爬坡、间接映射。
  • core_formula 需求和供给分别由哪些变量相乘或相加决定。
  • key_debate 市场真正争论的变量。
  • what_to_monitor 5-8 个最关键跟踪指标。
  • falsification 什么事实会推翻当前判断。

这个部分允许压缩、判断、排序。后文 diligence 负责展开和追溯来源。

1. Concept Boundary

输出:

  • plain-language definition
  • technical definition
  • adjacent concepts
  • what it is not
  • why the concept matters now

必须避免把相邻概念混在一起。例如:

  • GPU 不是整个 AI 算力产业链
  • HBM 不是所有 DRAM
  • ABF 是高端封装基板材料/载板链条中的关键环节,不等同于所有 PCB
  • CPU 的服务器、PC、手机、车载和边缘场景的供需逻辑不同

2. Value Chain Map

至少拆成:

  • upstream inputs
  • core technology or process layer
  • manufacturing / integration layer
  • downstream customers
  • end-demand drivers
  • substitutes and competing architectures

每一层必须记录:

Read the full file on GitHub · 276 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 · 276 lines · 31 tokens per session scan A a5fef95f6a28

Subscribe to this mod's changes

industry-concept-analysis is a skill published in the GitHub repository byteseek/Mira (268 stars, last pushed 3d ago), licensed Apache-2.0. It adds 31 tokens to every session and 2,246 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.