tako-financial-research

tako-financial-research is a skill for Claude Code from TakoData/tako-mcp. It costs 117 tokens per session (1,208 once invoked), scanned A, original, MIT.

A financial research skill that retrieves company accounts, market data, analyst estimates and selected data for private companies and cryptocurrency. Its results are shown as charts with citations, meaning references to the sources behind the figures.

In plain words
What is it for?
Reviewing revenue, earnings, margins, cash flow, valuation and stock prices; comparing companies; checking analyst estimates; examining business segments and key measures; and looking up cryptocurrency prices.
Why use it?
It helps answer financial questions without assuming that only listed companies or standard accounts have usable data. It also makes it possible to check where each returned figure came from.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the tako plugin — 3 skills, 2 MCP servers shipped together

Good fit Reviewing revenue, earnings, margins, cash flow, valuation and stock prices; comparing companies; checking analyst estimates; examining business segments and key measures; and looking up cryptocurrency prices.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/takodata/tako-mcp/tako-financial-research
Install

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.

Any agent
npx skills add TakoData/tako-mcp --skill tako-financial-research
Clone the repo
git clone --depth 1 https://github.com/TakoData/tako-mcp

Made for: Claude Code.

Or install tako, the plugin that ships this one along with the rest of its 3 skills, 2 MCP servers.

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 tako-financial-research

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/takodata/tako-mcp/tako-financial-research"><img src="https://agentmods.dev/badge/skills/takodata/tako-mcp/tako-financial-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,208 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.
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 $0.00117 $0.01208
Opus 5 $0.00059 $0.00604
Sonnet 5 $0.00023 $0.00242
Haiku 4.5 $0.00012 $0.00121

Measured 8d ago against content hash be67148a1a9e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tako-financial-research 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 8d 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.

skills/tako-financial-research/SKILL.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Financial Research (Tako)

Tako serves company financials as structured, cited data: each result is a card carrying the headline value, the underlying rows, and a chart of the series. All tools below live on the Tako MCP server (server name tako). The tool descriptions and every result already carry the card fields, the sources guidance and the zero-card recovery; this skill covers how to shape a financial query, how to check a card against the question, and how to report.

Workflow

  1. Query as ENTITY + METRIC: "Nvidia revenue", "Tesla free cash flow", with quarterly or annual to steer the period. When the user wants several metrics or companies, run one call per pair in parallel: each answer then comes back as its own card, and the checks below apply cleanly to each.
  2. Call tako_search with the default sources. Web results carry the qualitative half and the facts the graph doesn't hold (earnings dates, management commentary, companies with no filings or coverage).
  3. Check the top card against the question with the list below. The top card renders inline automatically; if a different card is the right one, link its title to its url and say so.
  4. Read the figure from the card's description. Fetch the series with tako_contents on the card's url only when you need the rows, such as to compute a growth rate, ratio or change yourself: search retrieves reported values and derives nothing. A locked card (exportable: false) is a licensing wall, not an error: quote the headline and stop.
  5. Zero cards? Follow the recovery the result states, and keep to two priced searches per question. Empty means Tako doesn't cover it, not that the fact is false: no dividend card is not "pays no dividend".
  6. Ambiguous entity? "Costco" resolves to Costco Wholesale Corporation and Costco Wholesale Australia; "Coca-Cola" to four listed companies. If the user's intent doesn't settle it, ask before quoting a number.
  7. Discovery asks ("who does Nvidia compete with", "what does Tako track for Tesla", "Nvidia's acquisitions")? Resolve the entity with tako_available_data to get its node id, then call tako_graph_related on it. The first call returns the relation map with counts (rel:competes_with, rel:subsidiaries, rel:acquisitions, metrics, sources); pass relation to page one and q to filter it, then search on the names it returns.

Read the full file on GitHub · 42 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. 8d ago Changed · -29 lines · +25 tokens per session be67148a1a9e
  2. 12d ago First seen · 71 lines · 92 tokens per session scan A 19b504e88d3d

Subscribe to this mod's changes

tako-financial-research is a skill published in the GitHub repository TakoData/tako-mcp (5 stars, last pushed yesterday), licensed MIT. It adds 117 tokens to every session and 1,208 once invoked, about $0.0006 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 2026-08-31.

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