Stock Screener (SentiSense) Agent Skill

Stock screener for AI agents: filter US stocks and ETFs on the SentiSense Score, the SentiSense Rating letter grade, sentiment direction…

Context cost
8.2k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 32.7 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Stock screener for AI agents: filter US stocks and ETFs on the SentiSense Score, the SentiSense Rating letter grade, sentiment direction, analyst ratings and upside, technicals, momentum, price and market cap in one query, or run 28 curated screens like Crowd vs Street and Golden Cross + Bullish. Translates plain-language asks such as find oversold stocks with bullish sentiment into valid screen plans.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

analytics

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md32.7 kB · preview
--- name: stock-screener license: MIT metadata: homepage: https://sentisense.ai requires_env: SENTISENSE_API_KEY ---
9# Stock Screener (SentiSense)
10
11Filter the tracked US stock and ETF universe in one query. This is the only surface where SentiSense's own signals, the SentiSense Score and social attention, sit in the same WHERE clause as analyst consensus, technicals, momentum, and price. A screen on analyst ratings alone is something a dozen free tools already do; a screen on *analyst ratings where the Score disagrees* is not. 28 curated screens ship ready to run, and all 49 screenable fields are available for custom plans; both are enumerated in the appendix at the end of this skill.
12
13This skill's job is translation: turning what the user actually asked ("find me oversold stocks people are turning bullish on") into a valid, honest screen plan, running it, and presenting the results with the plan visible so the user can tighten or loosen it.
14
15Read-only educational data interface. Output is informational context, never a personalized buy or sell recommendation.
16
17## When to Use
18
19- "Find me stocks that..." or "which stocks are..." in any combination of sentiment, analyst, price, momentum, or size conditions
20- "Screen for unusual social volume", "what is oversold but loved", "where do analysts and the crowd disagree"
21- "Run the momentum screen", "what are the curated screens?"
22- "Screen my watchlist": the same plans run against a fixed ticker list
23- ETF questions in the same shape: "low-cost broad funds with bullish holdings"
24
25Not this skill: single-ticker deep dives (stock-sentiment, stocks-analysis; the latter is us-stocks-analysis on ClawHub), options positioning (unusual-options-activity), price quotes (the sentisense reference). Screener rows read a snapshot refreshed every 20 minutes; it is a research surface, not a quote feed.
26
27## Prerequisites
28
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md5,160 words
Files1
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈230
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
7,945
on trigger
The instruction body, read only when the skill fires.
4.1%
of a 200k window
Ten skills this size would take about 41% of the window before you open a file.
050k100k150k200k context window

8.2k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Heavy. Teams tend to install this one per project rather than globally, and load it only when the job comes up.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

1 file, 32.7 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md32.7 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Stock Screener (SentiSense) · 8.2k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/stock-screener-sentisense/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/stock-screener-sentisense" ] && { [ ! -e .claude/skills/stock-screener-sentisense ] || { mv .claude/skills/stock-screener-sentisense "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/stock-screener-sentisense" .claude/skills/ && echo "Installed .claude/skills/stock-screener-sentisense"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add sentisenseapp/stock-screener-sentisense

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/stock-screener-sentisense/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/stock-screener-sentisense/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/stock-screener-sentisense" ] && { [ ! -e ~/.claude/skills/stock-screener-sentisense ] || { mv ~/.claude/skills/stock-screener-sentisense "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/stock-screener-sentisense" ~/.claude/skills/ && echo "Installed ~/.claude/skills/stock-screener-sentisense" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/stock-screener-sentisense/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where. It appears as stock-screener in Gemini CLI, Codex, Copilot and Grok (its own name); Claude Code lists it by the folder name, stock-screener-sentisense.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencesentisenseapp/stock-screener-sentisense

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

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