institutional-flow-tracker SKILL.md skillA

institutional-flow-tracker from nicepkg/ai-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nicepkg/ai-workflow/institutional-flow-tracker@git:20260118.be84779

Pins git:20260118.be84779 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nicepkg/ai-workflow
Path
workflows/stock-trader-workflow/.claude/skills/institutional-flow-tracker/SKILL.md
Versions recorded
1
Latest version
git:20260118.be84779, committed Jan 18, 2026
Size
13,340 bytes
Repository stars
291
License
MIT

Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.

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

# Institutional Flow Tracker

## Overview

This skill tracks institutional investor activity through 13F SEC filings to identify "smart money" flows into and out of stocks. By analyzing quarterly changes in institutional ownership, you can discover stocks that sophisticated investors are accumulating before major price moves, or identify potential risks when institutions are reducing positions.

**Key Insight:** Institutional investors (hedge funds, pension funds, mutual funds) manage trillions of dollars and conduct extensive research. Their collective buying/selling patterns often precede significant price movements by 1-3 quarters.

## When to Use This Skill

Use this skill when:
- Validating investment ideas (checking if smart money agrees with your thesis)
- Discovering new opportunities (finding stocks institutions are accumulating)
- Risk assessment (identifying stocks institutions are exiting)
- Portfolio monitoring (tracking institutional support for your holdings)
- Following specific investors (tracking Warren Buffett, Cathie Wood, etc.)
- Sector rotation analysis (identifying where institutions are rotating capital)

**Do NOT use when:**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nicepkg/ai-workflow/institutional-flow-tracker@sha256:a42d5f48ff7004d4

The line at the top of this page pins the label git:20260118.be84779, 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_2mdlq5i7elxil7yy.svg)](https://markdownregistry.com/a/art_2mdlq5i7elxil7yy)

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

Versions

The registry has recorded 1 version of this file, committed on Jan 18, 2026.

versioncommittedcommitsizeaudit
git:20260118.be84779 latest2026-01-18 be84779 13,340 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 (13340 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

nicepkg/ai-workflow · 291 stars · license MIT · pushed 2026-01-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2mdlq5i7elxil7yy
GET https://markdownregistry.com/api/v1/resolve?ref=nicepkg/ai-workflow/institutional-flow-tracker
GET https://markdownregistry.com/api/v1/blob/a42d5f48ff7004d4ea2680067b8b12f59dd6d3e5223d057d17bdcadfdb0187d4

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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Every file in nicepkg/ai-workflow

Other files named institutional-flow-tracker

institutional-flow-tracker SKILL.md skill
tradermonty/claude-trading-skills · skills/institutional-flow-tracker/SKILL.md · Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes…
git:20261012.fac23be · audit A · 3,682 stars

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