industry-chain-research

industry-chain-research is a skill for Claude Code, Codex from ivanyinjc-blip/industry-chain-research. It costs 184 tokens per session (2,512 once invoked), scanned A, original, no licence file.

A structured method for researching industry supply chains across Chinese, Hong Kong, and US stock markets. It links each conclusion to evidence and examines cycles, shortages, policy, costs, profits, bottlenecks, and tracking indicators.

In plain words
What is it for?
It is for deep research on listed companies and the businesses, supply gaps, policy factors, and constraints around them.
Why use it?
It helps turn broad industry research into connected findings that can be checked against evidence and opposing conditions.

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 deep research on listed companies and the businesses, supply gaps, policy factors, and constraints around them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ivanyinjc-blip/industry-chain-research/industry-chain-research
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 ivanyinjc-blip/industry-chain-research --skill industry-chain-research
Clone the repo
git clone --depth 1 https://github.com/ivanyinjc-blip/industry-chain-research

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-chain-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/ivanyinjc-blip/industry-chain-research/industry-chain-research/github.svg)](https://agentmods.dev/skills/ivanyinjc-blip/industry-chain-research/industry-chain-research)
Your own site
<a href="https://agentmods.dev/skills/ivanyinjc-blip/industry-chain-research/industry-chain-research"><img src="https://agentmods.dev/badge/skills/ivanyinjc-blip/industry-chain-research/industry-chain-research/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 industry-chain-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/ivanyinjc-blip/industry-chain-research/industry-chain-research"><img src="https://agentmods.dev/badge/skills/ivanyinjc-blip/industry-chain-research/industry-chain-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 184 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,512 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 $0.00184 $0.02512
Opus 5 $0.00092 $0.01256
Sonnet 5 $0.00037 $0.00502
Haiku 4.5 $0.00018 $0.00251

Measured 12d ago against content hash c0c7f000646f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

industry-chain-research 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.

SKILL.md · 203 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 12d ago First seen · 203 lines · 184 tokens per session scan A c0c7f000646f

Subscribe to this mod's changes

industry-chain-research is a skill published in the GitHub repository ivanyinjc-blip/industry-chain-research (9 stars, last pushed 2mo ago), with no licence file. It adds 184 tokens to every session and 2,512 once invoked, about $0.0009 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 2026-08-31.

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