public-equity-research: Skill for Claude Code

.claude/skills/financial-data-collector/SKILL.md

financial-data-collector is a skill for Claude Code from lowtidebuild/public-equity-research. It costs 0 tokens per session (2,971 once invoked), scanned A, original, Apache-2.0.

A financial-data collection workflow gathers structured company and market information from financial-data APIs. It first checks that a stock ticker is valid and can fall back to standard research when enhanced data access fails.

In plain words
What is it for?
Use it to collect price and other financial data for a ticker, retry failed API requests, verify uncertain symbols, and save the collected results for later analysis.
Why use it?
It reduces manual collection work and helps prevent research from continuing with an invalid ticker or an unavailable data source.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: reads .claude/ paths; mentions CLAUDE.md.

This is lowtidebuild/public-equity-research's own configuration. It tells Claude Code how to work on public-equity-research 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 public-equity-research configures →

Reuse

Borrowing it

Nothing to install: this file belongs to lowtidebuild/public-equity-research. 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/lowtidebuild/public-equity-research/main/.claude/skills/financial-data-collector/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/lowtidebuild/public-equity-research

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 financial-data-collector

README.md
[![agentmods](https://agentmods.dev/badge/skills/lowtidebuild/public-equity-research/financial-data-collector/github.svg)](https://agentmods.dev/skills/lowtidebuild/public-equity-research/financial-data-collector)
Your own site
<a href="https://agentmods.dev/skills/lowtidebuild/public-equity-research/financial-data-collector"><img src="https://agentmods.dev/badge/skills/lowtidebuild/public-equity-research/financial-data-collector/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 financial-data-collector

Your own site · 80×15
<a href="https://agentmods.dev/skills/lowtidebuild/public-equity-research/financial-data-collector"><img src="https://agentmods.dev/badge/skills/lowtidebuild/public-equity-research/financial-data-collector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,971 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00000 $0.02971
Opus 5 $0.00000 $0.01486
Sonnet 5 $0.00000 $0.00594
Haiku 4.5 $0.00000 $0.00297

Measured 12d ago against content hash f0baf128b90f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

financial-data-collector scanned grade A with 0 findings 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 12d ago.

The scan reads SKILL.md. This mod also ships 4 executable files (scripts/earnings-history-fetcher.py, scripts/options-fetcher.py, scripts/peer-fetch.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/financial-data-collector/SKILL.md · 285 lines

How it starts

The opening of the file, as written. The whole thing — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Financial Data Collector — SKILL.md

Role: Step 3 — Execute Financial Datasets MCP and FMP MCP API calls to collect structured financial data. Enhanced Mode only. Triggered by: CLAUDE.md when data_mode = "enhanced" after Step 2 Reads: run-local research-plan.json, references/api-endpoints.md Writes: output/runs/{run_id}/{ticker}/tier1-raw.json References: api-endpoints.md


Instructions

Step 3.1 — Validate Ticker

Before running the full bundle, validate the ticker exists:

Call: get_current_stock_price("{ticker}")

IF valid price returned:
    → Ticker valid. Proceed to Step 3.2.
    → Cache: current_price = {price}, day_change = {change}, timestamp = {now}

IF error or empty result:
    → Retry once with slight delay
    → If still failing: "ERROR: {ticker} not found via API. Attempting web verification..."
    → Web search: "{ticker} stock US exchange" to confirm ticker
    → If ticker confirmed wrong: ask user to verify
    → If API down: switch to Standard Mode for this session

Step 3.2 — Execute Standard Bundle

Execute calls in this order. For each call:

  • On success: store result in memory
  • On failure: retry up to 2 times with same parameters
  • On 3rd failure: log "FAILED: {function_name} — Error: {message} — Proceeding without" and continue

Full standard bundle (from api-endpoints.md):

1. get_current_stock_price(ticker)
2. get_income_statements(ticker, period="quarterly", limit=8)
3. get_balance_sheets(ticker, period="quarterly", limit=8)
4. get_cash_flow_statements(ticker, period="quarterly", limit=8)
5. get_financial_metrics(ticker)
6. get_analyst_estimates(ticker)
7. get_historical_stock_prices(ticker, start="{1Y ago}", end="{today}")
8. get_company_news(ticker, limit=20)
9. get_sec_filings(ticker, filing_type="10-K,10-Q")
10. get_insider_trades(ticker, limit=20)

Minimum bundle (Mode A/B, or if time-constrained):

1. get_current_stock_price(ticker)
2. get_financial_metrics(ticker)
3. get_analyst_estimates(ticker)
4. get_company_news(ticker, limit=5)

Read the full file on GitHub · 285 lines

Files

What ships with it

6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 285 lines · 0 tokens per session scan A f0baf128b90f

Subscribe to this mod's changes

financial-data-collector is a skill published in the GitHub repository lowtidebuild/public-equity-research (46 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,971 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.