fmp-qualtrim-mcp: Skill for Claude Code

.claude/skills/stock-research/SKILL.md

stock-research is a skill for Claude Code from GlacianNex/fmp-qualtrim-mcp. It costs 120 tokens per session (3,702 once invoked), scanned B, original, MIT.

Instructions for using a stock-data service that provides company fundamentals, valuations, screening, dividends, earnings, price history, and portfolio or watchlist data. Fundamentals are information about a company’s finances and business performance.

In plain words
What is it for?
Use them when researching companies, comparing or screening stocks, reviewing dividends or earnings, checking historical prices, or working with supported portfolios and watchlists.
Why use it?
They explain which data source and tool to use for different stock questions, along with request limits, account safeguards, and how to interpret failures.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

This is GlacianNex/fmp-qualtrim-mcp's own configuration. It tells Claude Code how to work on fmp-qualtrim-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fmp-qualtrim-mcp configures →

Reuse

Borrowing it

Nothing to install: this file belongs to GlacianNex/fmp-qualtrim-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/GlacianNex/fmp-qualtrim-mcp/main/.claude/skills/stock-research/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/GlacianNex/fmp-qualtrim-mcp

Made for: Claude Code.

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 stock-research

README.md
[![agentmods](https://agentmods.dev/badge/skills/glaciannex/fmp-qualtrim-mcp/stock-research/github.svg)](https://agentmods.dev/skills/glaciannex/fmp-qualtrim-mcp/stock-research)
Your own site
<a href="https://agentmods.dev/skills/glaciannex/fmp-qualtrim-mcp/stock-research"><img src="https://agentmods.dev/badge/skills/glaciannex/fmp-qualtrim-mcp/stock-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 stock-research

Your own site · 80×15
<a href="https://agentmods.dev/skills/glaciannex/fmp-qualtrim-mcp/stock-research"><img src="https://agentmods.dev/badge/skills/glaciannex/fmp-qualtrim-mcp/stock-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 120 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,702 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original 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 $0.00120 $0.03702
Opus 5 $0.00060 $0.01851
Sonnet 5 $0.00024 $0.00740
Haiku 4.5 $0.00012 $0.00370

Measured 11d ago against content hash ce688c6e74ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

stock-research scanned grade B with 1 finding 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 11d 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.

Subtle steeringmediumPrompt injection

Instructions that bias recommendations or shape behaviour without the user noticing.

so never tell the user a question cannot be answered because Qualtrim is
.claude/skills/stock-research/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

stockdata MCP server

Everything needed to use this server well: what it is, which backend answers what, how much you may call, what must not be touched, and how failures read.

What it is

An MCP server exposing 55 tools over two backends: Financial Modeling Prep (required) and Qualtrim (optional).

Qualtrim is optional and often absent. When its credentials are not set, the 22 qualtrim_* tools are not registered at all and the other 33 work normally — so never tell the user a question cannot be answered because Qualtrim is missing. Answer it from FMP, which holds the raw data either way.

FMP (fmp_*, 29 tools) Qualtrim (qualtrim_*, 22 tools)
What Financial Modeling Prep, a documented public API Qualtrim's private API, read off their shipped web bundle
Holds Raw data — statements, quotes, ratios, estimates, prices, dividends A derived layer built on FMP, plus the user's own holdings
Auth API key Session cookie from the user's paid account
Budget ~250 requests/day on the free key Interactive volumes only — a social limit, not a quota
Stability Versioned, documented None; routes change without notice
Cost of abuse Rate-limit error The user's paid account can be terminated

Qualtrim is an FMP customer. It buys the same raw data and adds a layer on top. So every plain financial number Qualtrim returns is also available from FMP — through a slower, more fragile, more consequential path.

Rule: FMP by default. Qualtrim only for what Qualtrim itself computes, or when the user's own portfolio or watchlist is the subject.

backend_status reports which backends are configured and whether writes are enabled. Call it when a qualtrim_* tool is missing or behaving oddly.

Configuration

Set by the operator, not adjustable at runtime. Useful for explaining failures.

Variable Default Effect
FMP_API_KEY Without it, every fmp_* tool errors
QUALTRIM_USERNAME / QUALTRIM_PASSWORD Absent means the 22 qualtrim_* tools are not registered at all
QUALTRIM_ENABLE_WRITES false The two write tools refuse to run while false
QUALTRIM_MIN_INTERVAL 1.0 Seconds between Qualtrim requests
FMP_MIN_INTERVAL 0.1 Seconds between FMP requests
MAX_RESPONSE_CHARS 50000 Oversized payloads are trimmed with a truncation note — narrow the request rather than re-calling

Read the full file on GitHub · 280 lines

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. 11d ago First seen · 280 lines · 120 tokens per session scan B ce688c6e74ca

Subscribe to this mod's changes

stock-research is a skill published in the GitHub repository GlacianNex/fmp-qualtrim-mcp (0 stars, last pushed 17d ago), licensed MIT. It adds 120 tokens to every session and 3,702 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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