ljg-invest

ljg-invest is a skill for Claude Code from lijigang/ljg-skills. It costs 117 tokens per session (1,693 once invoked), scanned A, original, MIT.

An investment-analysis method that evaluates whether a project creates a new working system or mainly rearranges an existing one. It uses company materials, pitch decks, or founder conversations, and can use current research for known companies.

In plain words
What is it for?
Use it to write a deep assessment of a company’s business model, operating cycle, response to competition or shocks, resource attraction, and investment case.
Why use it?
It focuses the report on how the project works in practice—such as user growth, resilience, and resource flow—instead of only asking how large the market is or what the company is worth.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents.

Part of the ljg-skills plugin — 22 skills shipped together

Good fit Use it to write a deep assessment of a company’s business model, operating cycle, response to competition or shocks, resource attraction, and investment case.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lijigang/ljg-skills/ljg-invest
About the project

ljg-skills is a collection of custom Codex skills for tasks such as learning, writing, reading, relationship analysis, image creation, and investment analysis. Codex users install selected skills or the whole collection through a skills command-line interface. The catalogue entries are the collection's individual skills, plugin, and instruction.

lijigang/ljg-skills · 7,340 stars · on GitHub

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 lijigang/ljg-skills --skill ljg-invest
Clone the repo
git clone --depth 1 https://github.com/lijigang/ljg-skills

Made for: Claude Code.

Or install ljg-skills, the plugin that ships this one along with the rest of its 22 skills.

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 ljg-invest

README.md
[![agentmods](https://agentmods.dev/badge/skills/lijigang/ljg-skills/ljg-invest/github.svg)](https://agentmods.dev/skills/lijigang/ljg-skills/ljg-invest)
Your own site
<a href="https://agentmods.dev/skills/lijigang/ljg-skills/ljg-invest"><img src="https://agentmods.dev/badge/skills/lijigang/ljg-skills/ljg-invest/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 ljg-invest

Your own site · 80×15
<a href="https://agentmods.dev/skills/lijigang/ljg-skills/ljg-invest"><img src="https://agentmods.dev/badge/skills/lijigang/ljg-skills/ljg-invest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,693 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
  • Socket pass 27 Mar 2026
  • Snyk warn 27 Mar 2026
  • 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 $0.00117 $0.01693
Opus 5 $0.00059 $0.00847
Sonnet 5 $0.00023 $0.00339
Haiku 4.5 $0.00012 $0.00169

Measured 13d ago against content hash 96b6c6810324, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ljg-invest 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 13d 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/ljg-invest/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ljg-invest: 投资报告

给一个项目,写一份投资分析。整份报告只回答一个问题:这个东西在创造新秩序,还是在搬运旧秩序。

地基

一个定义撑着整份报告:财富不是钱,是被欲望照亮的秩序,钱只是秩序的计量单位。投资,是拿手里的秩序,去换一台更好的秩序生成器。

从这个定义出发,报告的问法和市场惯例不一样:

惯常问法 这份报告问
这个公司值多少钱 这台机器转不转得起来
市场有多大 市场在用什么过时的标签看它
能涨多少 我拿什么换什么,换完之后谁更聪明

输入

公司名、BP、文字介绍、对话记录,任何描述项目的材料都行。知名公司只给名字就够——用 Research skill 或 subagent 抓最新财报和行业数据,别凭旧印象写。

报告结构

五个区块是骨架,不是填空题。哪个区块对这个项目最有料,哪个就多写;没料的一两句带过,或者干脆跳过。报告为判断服务,凑完整没有意义。

一、这是什么

一张表,加一句自己下的赛道定义。

维度 内容
项目名称
赛道定义 用我们自己的话说,不抄市场标签
阶段
融资情况 金额 / 估值 / 条款(有则填,无则标注)
数据快照 关键运营数据

赛道定义要说出这家公司真正在做什么——市场标签说不出的那一层。叫它「搜索引擎公司」等于什么都没说;说它是「人类认知基础设施的垄断运营商」,它靠什么赚钱、怕什么,全在这一句里。

二、秩序创造机器判定

整份报告的分量都压在这一节。不逐项打分,回答一个问题就够:这台机器转不转得起来? 从三个角度看。

飞轮在不在转? 先找系统里那个越用越好的循环:用户多了数据多,数据多了产品好,产品好了用户更多。找到了,看它走到哪一步——停着、刚起步、已经转起来;转着的,再看转了多久、是在加速还是走平;停着的,写出卡住它的那一环。

冲击后变强还是变弱? 竞争杀进来、技术换代、市场塌方,这台机器会碎掉、扛住,还是把冲击吃成自己的燃料。翻它的历史:挨过打没有,挨打之后是弱了还是壮了。

资源是被推过来的,还是自己来的? 扩张靠一个一个谈、一块一块买,那是推;别人主动涌过来、不来就吃亏,那是引力。找「不推而聚」的迹象。

综合判定,三档取一:

  • 秩序创造机器——飞轮在转,冲击后变强,资源自己来
  • 有潜力——飞轮的结构在,还没验证转得起来
  • 秩序搬运——把已有的东西重新排列,没有生出新秩序

三、创生公式

每台秩序创造机器都有一个核心算法,用一句话写出来。参考:

  • 亚马逊 = 利润→再投资→降成本→降价→更多用户→更多利润
  • 特斯拉 = 硬件采数据→数据训练算法→算法重新定义硬件
  • Google = 每次人类找答案的方式迁移时,成为新方式的默认基础设施

写完追两问:这个公式验证过几次、验证到什么程度;有没有别人在跑相似的公式,差在哪。

四、市场看见的 vs 我们看见的

投资时机在这一节里定。

它在 S 曲线的哪里? 积累期、拐点、加速期、平台期,落在哪一段。落在拐点之前的,写清什么条件会触发拐点。

市场在用什么旧眼睛看它? 市场给它贴了什么标签,这个标签遮住了什么,我们的框架多看到了什么。这个认知差有多大——超额收益从这里来。认知折价,看三个信号:得费很大劲解释别人才听得懂;定价长期反常,部分加起来不等于整体;现成的类比全对不上,像 X 又不像 X。

它控制了什么别人拿不走的东西? 它攥着的是数据、分发、标准,还是网络效应。这种控制是静态的(品牌、专利),还是越变越强的。再往前看一步:这种稀缺以后会不会挪窝,项目跟不跟得上。

它在搭哪趟便车? 三种成本正在坍缩:理解成本、协作成本、行动成本。这个项目骑在哪一种上,坍缩放出来的能量它接住了多少。

五、换不换

  • 交换建议:建议投资 / 建议观察 / 建议放弃
  • 如果投资:建议金额范围、关键条款
  • 核心假设:这个决策押在哪几个假设上。每个假设配一个退出信号——什么数据出现,说明假设错了,该走了。
  • 未解问题:3-5 个对决策要紧但还没有答案的问题,按轻重排。

Read the full file on GitHub · 115 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. 13d ago First seen · 115 lines · 117 tokens per session scan A 96b6c6810324

Subscribe to this mod's changes

ljg-invest is a skill published in the GitHub repository lijigang/ljg-skills (7,340 stars, last pushed 3d ago), licensed MIT. It adds 117 tokens to every session and 1,693 once invoked, about $0.0006 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.

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