invest_analysis

invest_analysis is a skill for Claude Code, Codex from Linearl/reasonix_skill_repo. It costs 75 tokens per session (21,745 once invoked), scanned A, original, no licence file.

A structured research workflow for studying companies and markets in mainland China and Hong Kong. It covers industry selection, supply-chain research, financial-report checks, and investor sentiment.

In plain words
What is it for?
It is for comparing industries, tracing suppliers and customers, checking company financial reports, and assessing market mood.
Why use it?
It helps organize investment research and check several types of evidence before drawing conclusions about a company or market.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It is for comparing industries, tracing suppliers and customers, checking company financial reports, and assessing market mood.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linearl/reasonix_skill_repo/invest_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 Linearl/reasonix_skill_repo --skill invest_analysis
Clone the repo
git clone --depth 1 https://github.com/Linearl/reasonix_skill_repo

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 invest_analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/linearl/reasonix_skill_repo/invest_analysis/github.svg)](https://agentmods.dev/skills/linearl/reasonix_skill_repo/invest_analysis)
Your own site
<a href="https://agentmods.dev/skills/linearl/reasonix_skill_repo/invest_analysis"><img src="https://agentmods.dev/badge/skills/linearl/reasonix_skill_repo/invest_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 invest_analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/linearl/reasonix_skill_repo/invest_analysis"><img src="https://agentmods.dev/badge/skills/linearl/reasonix_skill_repo/invest_analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 21,745 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.
Origin unknown 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 $0.00075 $0.21745
Opus 5.5 $0.00030 $0.08698
Sonnet 5.5 $0.00015 $0.04349
Haiku 4.5 $0.00007 $0.02175

Measured 1mo ago against content hash c762bfe12f82, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

invest_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 1mo ago.

The scan reads SKILL.md. This mod also ships 4 executable files (tools/step3.5_supply_chain_verify.py, tools/step3a_download_reports.py, tools/step4a_search_news.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/invest_analysis/SKILL.md · 1,827 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 1mo ago First seen · 1,827 lines · 75 tokens per session scan A c762bfe12f82

Subscribe to this mod's changes

invest_analysis is a skill published in the GitHub repository Linearl/reasonix_skill_repo (3 stars, last pushed 18d ago), with no licence file. It adds 75 tokens to every session and 21,745 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-31.

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