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.
curl -O https://raw.githubusercontent.com/lowtidebuild/public-equity-research/main/.claude/skills/financial-data-collector/SKILL.mdgit clone --depth 1 https://github.com/lowtidebuild/public-equity-researchWrote 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.
[](https://agentmods.dev/skills/lowtidebuild/public-equity-research/financial-data-collector)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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.
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)
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.
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.
- 12d ago First seen · 285 lines · 0 tokens per session scan A f0baf128b90f
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.
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