corporate-network-analysis SKILL.md skillA

corporate-network-analysis from hhfinai/claude-equity-research-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add hhfinai/claude-equity-research-skills/corporate-network-analysis@git:20260415.28f28a5

Pins git:20260415.28f28a5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
hhfinai/claude-equity-research-skills
Path
corporate-network-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260415.28f28a5, committed Apr 15, 2026
Size
4,969 bytes
Repository stars
10
License
MIT

Systematic framework for analyzing corporate networks to generate investment alpha. Use when analyzing supplier-customer relationships, director interlocks, executive networks, insider holdings patterns, or identifying M&A signals through board connections. Triggers on supply chain analysis, customer momentum, board interlock, director network, connected party analysis, relationship mapping, or network-based investment research.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Corporate Network Analysis

Exploit slow information diffusion through supply chain relationships and director interlocks to identify predictable stock returns. Academic research shows customer momentum yields ~150bps monthly alpha; board centrality generates ~4.68% annual risk-adjusted returns.

## Core Investment Theses

1. **Supply Chain Momentum**: When a customer gets a big order, upstream suppliers benefit with a lag (40% of shock diffuses over subsequent months)
2. **Director Interlock Signals**: Shared board members facilitate information flow, M&A activity, and strategic alignment
3. **Cross-Holding Synergies**: Executives/directors with positions in multiple companies may orchestrate beneficial strategic moves

## Workflow

### Phase 1: Identify Target Company Networks

```
1. Map supplier-customer relationships (>5% revenue materiality)
2. Identify board members and their other directorships
3. Track executive cross-company positions
4. Document insider holdings across connected firms
```

### Phase 2: Data Collection

Use free data sources in this priority order:

| Relationship Type | Primary Source | How to Access |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add hhfinai/claude-equity-research-skills/corporate-network-analysis@sha256:afd13153d9579456

The line at the top of this page pins the label git:20260415.28f28a5, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ztcvghzls74id4dh.svg)](https://markdownregistry.com/a/art_ztcvghzls74id4dh)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Apr 15, 2026.

versioncommittedcommitsizeaudit
git:20260415.28f28a5 latest2026-04-15 28f28a5 4,969 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4969 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hhfinai/claude-equity-research-skills · 10 stars · license MIT · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ztcvghzls74id4dh
GET https://markdownregistry.com/api/v1/resolve?ref=hhfinai/claude-equity-research-skills/corporate-network-analysis
GET https://markdownregistry.com/api/v1/blob/afd13153d957945625325268aa6512c0d50b86490ca124b198c6c400ee085a85

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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