Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add seaworld008/Commonly-used-high-value-skills --skill financial-data-collectorgit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skillsWrote 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/seaworld008/commonly-used-high-value-skills/financial-data-collector)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/financial-data-collector"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/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/seaworld008/commonly-used-high-value-skills/financial-data-collector"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/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 | $0.00039 | $0.01890 |
| Opus 5 | $0.00019 | $0.00945 |
| Sonnet 5 | $0.00008 | $0.00378 |
| Haiku 4.5 | $0.00004 | $0.00189 |
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 9d 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 — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Financial Data Collector
Collect and validate real financial data for US public companies using free data sources. Output is a standardized JSON file ready for consumption by other financial skills.
When to Use
Use this skill when the user wants to:
- collect filing and market data for a US public company
- prepare structured inputs for valuation work
- ground downstream analysis in sourced SEC and market data
- generate a machine-readable financial dataset instead of a narrative report
Usage
Recommended flow:
collect data
-> validate output
-> preserve source attribution
-> hand off standardized JSON to downstream analysis
For the most portable workflow, prefer the SEC helper first because it uses Python standard library only. Use the yfinance collector when you specifically need market data and analyst estimates.
Critical Constraints
NO FALLBACK values. If a field cannot be retrieved, set it to null with _source: "missing".
Never substitute defaults (e.g., beta or 1.0). The downstream skill decides how to handle missing data.
Data source attribution is mandatory. Every data section must have a _source field.
CapEx sign convention: yfinance returns CapEx as negative (cash outflow). Preserve the original sign. Document the convention in output metadata. Do NOT flip signs.
yfinance FCF ≠ Investment bank FCF. yfinance FCF = Operating CF + CapEx (no SBC deduction). Flag this in output metadata so downstream DCF skills don't overstate FCF.
Workflow
Step 1: Collect Data
Run the collection script:
python scripts/collect_data.py TICKER [--years 5] [--output path/to/output.json]
python scripts/collect_data.py TICKER --engine yfinance
python scripts/collect_data.py TICKER --engine yahoo-web
The recommended collection path collects in this priority:
- yfinance — full-quality market data, historical financials, beta, analyst estimates
- SEC official APIs — ticker to CIK mapping, submissions, and companyfacts for filing-grounded checks
- Yahoo web parser — low-dependency helper path for controlled environments and parser validation
- User supplement — for years where public data returns NaN (report to user, do not guess)
What ships with it
14 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.
- .gitignore 161 B
- assets/sample_sec_company_tickers.json 88 B
- assets/sample_sec_companyfacts.json 1.8 KB
- assets/sample_sec_submissions.json 375 B
- assets/sample_yahoo_quote_summary.json 3.1 KB
- assets/sample_yahoo_tnx_chart.json 215 B
- references/output-schema.md 4.1 KB
- references/sec-official-sources.md 719 B
- references/yahoo-web-sources.md 863 B
- references/yfinance-pitfalls.md 3.1 KB
- scripts/collect_data.py 18 KB runs code
- scripts/sec_api.py 8.1 KB runs code
- scripts/validate_data.py 5.8 KB runs code
- scripts/yahoo_web_api.py 9.3 KB runs code
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.
- 9d ago First seen · 205 lines · 39 tokens per session scan A e44d7827bb3d
financial-data-collector is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 1,890 once invoked, about $0.0002 per session on Opus 5. 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 2026-09-03.
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