Agent skill

Ownership Crowding

by hh-health-AI in hh-health-AI/healthcare-equity

This skill should be used when the user asks "who owns this", "is it crowded", "13F", "hedge fund ownership", "short interest", "squeeze risk", "days to cover", "Reg SHO threshold", or wants a…

MITAuto-check passedMarketing & SEO

Install Ownership Crowding

skills CLI
$ npx skills add hh-health-AI/healthcare-equity --skill ownership-crowding -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install hh-health-AI/healthcare-equity ownership-crowding --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/hh-health-AI/healthcare-equity.git skills-src && mkdir -p .claude/skills && cp -r skills-src/modules/sec-forensics/skills/ownership-crowding .claude/skills/ownership-crowding && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ownership-crowding
GitHub stars
101
Token cost
~657 tokens
SKILL.md length
339 words
Files
1
Skills in repo
72
Repo updated
First seen
Licence
MIT

At a glance

This skill should be used when the user asks "who owns this", "is it crowded", "13F", "hedge fund ownership", "short interest", "squeeze risk", "days to cover", "Reg SHO threshold", or wants a…

  • Works in 7 steps: Aggregate 13F holdings for the issuer… → Compute concentration: the share of… → Pull 13D/G filings for activist or… → …
  • Asks who owns this
  • SKILL.md covers Workflow, Caveats that cap confidence, Non-duplication and Not-automatic
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ownership Crowding is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks "who owns this", "is it crowded", "13F", "hedge fund ownership", "short interest", "squeeze risk", "days to cover", "Reg SHO threshold", or wants a positioning overlay before sizing a healthcare position.

Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Positioning and messaging. The repository describes itself as: Synthesis engine for buy-side healthcare equity research. The licence is MIT.

When your agent uses it

  • Asks who owns this
  • Hedge fund ownership
  • Reg SHO threshold
  • Wants a positioning overlay before sizing a healthcare position

Example prompts

  • “who owns this”
  • “is it crowded”
  • “hedge fund ownership”
  • “/ownership-crowding”

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Aggregate 13F holdings for the issuer across the last four quarters. Separate
  2. Compute concentration: the share of float held by the top 10 active holders,
  3. Pull 13D/G filings for activist or strategic positions and any recent crossings
  4. Layer short interest. FINRA publishes short interest twice monthly; compute days
  5. Build the sizing constraint. Days of the desk's own volume to exit at 20% of ADV,
  6. Read the combination. High hedge-fund concentration plus high days-to-cover plus
  7. Emit the brief.

What it can do on your machine

Read from SKILL.md and the folder at commit 6c7bda8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ownership Crowding loads about 657 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 339 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~657

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from hh-health-AI/healthcare-equity at commit 6c7bda8, republished under its MIT licence (© hh-health-AI). 339 words, ~657 tokens.

Download SKILL.mdSave it as .claude/skills/ownership-crowding/SKILL.md (or your agent's skills folder).
name
ownership-crowding
description
This skill should be used when the user asks "who owns this", "is it crowded", "13F", "hedge fund ownership", "short interest", "squeeze risk", "days to cover", "Reg SHO threshold", or wants a positioning overlay before sizing a healthcare position.
metadata.version
0.1.0
metadata.layer
Risk

Ownership and crowding overlay

Assemble a positioning picture from free sources and translate it into a sizing and liquidity constraint.

Workflow

  1. Aggregate 13F holdings for the issuer across the last four quarters. Separate the three groups, which behave completely differently:
    • Passive index holders — irrelevant to crowding, large in size.
    • Long-only active — slow, sticky, price-insensitive on the margin.
    • Hedge funds — the crowding that matters.
  2. Compute concentration: the share of float held by the top 10 active holders, and the change in that share over four quarters. The change is the signal; the level is context.
  3. Pull 13D/G filings for activist or strategic positions and any recent crossings of the 5% threshold.
  4. Layer short interest. FINRA publishes short interest twice monthly; compute days to cover against average daily volume. Check the Reg SHO threshold list for persistent delivery failures.
  5. Build the sizing constraint. Days of the desk's own volume to exit at 20% of ADV, under both normal and stressed (one-third) liquidity. This is the number that actually binds in a drawdown and the reason this skill exists.
  6. Read the combination. High hedge-fund concentration plus high days-to-cover plus a dated binary catalyst is the setup for violent two-way moves — it argues for a smaller position or an options expression, not for a directional view.
  7. Emit the brief.

Caveats that cap confidence

13F is long-only, US-listed, filed 45 days after quarter end, and excludes shorts, swaps and most derivatives — so it systematically understates hedge-fund exposure and misses the entire short book. A crowding read from 13F alone is directional at best. Short interest is twice-monthly with its own lag.

Non-duplication

The desk already runs your valuation tooling for what the price implies and macro-pm-lens for crowding as a discipline question. This skill supplies the raw positioning evidence to those, and does not restate their conclusions.

Not-automatic

Crowding is not a directional signal. It is a constraint on size and on the expression of a view, and briefs from this skill must say so.

Contract: ../../references/evidence-brief.md.

© hh-health-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in modules/sec-forensics/skills/ownership-crowding of hh-health-AI/healthcare-equity.

Open the folder on GitHubat commit 6c7bda8

Compare with similar skills

Ownership Crowding next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ownership Crowding compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ownership Crowding this skillhh-health-AI/healthcare-equity101—~657Automated safety check: PassMIT
Marketing OsYuzzyuk/marketing-os540—~2.5kAutomated safety check: PassMIT
Revenue Centric Designheliocosta-dev/revenue-centric-design740—~1.6kAutomated safety check: PassCustom licence
Startup Positioningferdinandobons/startup-skill1.2k—~4.6kAutomated safety check: PassMIT
Stanley Druckenmiller Investmenttradermonty/claude-trading-skills3k1 repos~2kAutomated safety check: PassMIT
B2b Playbookweilun88313/B2B-Playbook203—~3.1kAutomated safety check: PassProprietary

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Categories

Questions about Ownership Crowding

What does Ownership Crowding do?

This skill should be used when the user asks "who owns this", "is it crowded", "13F", "hedge fund ownership", "short interest", "squeeze risk", "days to cover", "Reg SHO threshold", or wants a…. Ownership Crowding is an agent skill from hh-health-AI/healthcare-equity. This skill should be used when the user asks "who owns this", "is it crowded", "13F", "hedge fund ownership", "short interest", "squeeze risk", "days to cover", "Reg SHO threshold", or wants a positioning overlay before sizing a healthcare position.

When should I use Ownership Crowding?

Ownership Crowding fits situations like: asks who owns this; hedge fund ownership; reg SHO threshold; wants a positioning overlay before sizing a healthcare position.

How do I install Ownership Crowding in Claude Code?

Run `npx skills add hh-health-AI/healthcare-equity --skill ownership-crowding -a claude-code`. Or copy the skill folder (modules/sec-forensics/skills/ownership-crowding in hh-health-AI/healthcare-equity) into .claude/skills/ownership-crowding in your project. Claude Code loads it when a task matches its description.

How do I install Ownership Crowding in Codex?

Run `npx skills add hh-health-AI/healthcare-equity --skill ownership-crowding -a codex`. Or copy the skill folder (modules/sec-forensics/skills/ownership-crowding in hh-health-AI/healthcare-equity) into .agents/skills/ownership-crowding in your project. Codex loads it when a task matches its description.

Can I use Ownership Crowding in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hh-health-AI/healthcare-equity --skill ownership-crowding -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ownership-crowding, .gemini/skills/ownership-crowding, .github/skills/ownership-crowding and .opencode/skills/ownership-crowding in your project.

What does Ownership Crowding need to run?

SKILL.md names no scripts, command-line tools or credentials: Ownership Crowding is instructions for the agent only.

Does Ownership Crowding access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ownership Crowding safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ownership Crowding use?

Ownership Crowding is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ownership Crowding use?

About 657 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ownership Crowding?

Skills that share tags, products or a category with Ownership Crowding: Marketing Os (Yuzzyuk/marketing-os, 540 stars), Revenue Centric Design (heliocosta-dev/revenue-centric-design, 740 stars), Startup Positioning (ferdinandobons/startup-skill, 1.2k stars) and Stanley Druckenmiller Investment (tradermonty/claude-trading-skills, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ownership Crowding?

hh-health-AI (a GitHub user) maintains it in hh-health-AI/healthcare-equity, which has 101 GitHub stars. The repository holds 72 skills in this directory. The repository was last updated on October 8, 2026.

Source: hh-health-AI/healthcare-equity on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.