Is data-charts-tako safe to install?

SaferSkills independently audited data-charts-tako (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

skills/design/capabilities/data-charts-tako/SKILL.md · 1 file

skills/design/capabilities/data-charts-tako/SKILL.md9.3 KB · Markdown

name: data-charts-tako

description: Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more

source: orthogonal

Tako Knowledge Search & Visualization

Setup

Read your credentials from ~/.gooseworks/credentials.json:

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Search for data with natural language and get interactive charts, AI-generated insights, and embeddable knowledge cards. Covers finance, economics, demographics, sports, politics, climate, and health from sources like S&P Global, World Bank, and more.

When to Use

User asks a data question ("What's NVIDIA's revenue?", "US GDP growth?")
User wants to compare metrics ("Tesla vs Ford market cap")
User needs a chart or visualization for a report
User wants to turn their own data into a chart
User asks for insights or analysis on a data trend

Usage

Search for Data

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/knowledge_search","body":{"inputs":{"text":"NVIDIA vs AMD revenue since 2018"}}}'

With search effort and source options:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/knowledge_search","body":{"inputs":{"text":"US inflation rate 2020-2025","search_effort":"deep"},"source_indexes":["tako","web"]}}'

With dark mode chart images:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/knowledge_search","body":{"inputs":{"text":"Bitcoin price history"},"output_settings":{"knowledge_card_settings":{"image_dark_mode":true}}}}'

Get Chart Insights

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/beta/chart_insights","query":{"card_id":"sXQPVnixcDUf2Iw35Via"}}'

Visualize Your Own Data

Provide data as CSV strings. Tako picks the best chart type automatically.

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/beta/visualize"}'
Q1 2024,100
Q2 2024,150
Q3 2024,220
Q4 2024,310"], "query": "Show quarterly revenue as a bar chart"}'

Request a specific chart type:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/beta/visualize"}'
US,500
EU,300
Asia,250"], "query": "Sales by region", "viz_component_type": "pie"}'

Create a Custom Chart

Build charts from scratch with full control over components and layout.

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/thin_viz/create/","body":{"components":[{"component_type":"header","config":{"title":"Sales by Region"}},{"component_type":"categorical_bar","config":{"datasets":[{"label":"Revenue (M)","data":[{"x":"US","y":500},{"x":"EU","y":300},{"x":"Asia","y":250}]}]}}],"title":"Sales by Region","source":"Internal Data"}}'

List Available Chart Types

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/thin_viz/default_schema/"}'

Get Tako Tool Descriptions

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/tako_tools_description"}'

Parameters

Knowledge Search (POST /v1/knowledge_search)

Body:

inputs.text (string, required) - Natural language query (e.g. "Tesla vs Ford market cap")
inputs.search_effort (string) - "fast", "medium", "deep", or "auto"
source_indexes (array) - Priority order: "tako", "web", "tako_deep_v2". Default: ["tako"]
country_code (string) - ISO 3166-1 alpha-2 (e.g. "US", "GB"). Default: "US"
locale (string) - e.g. "en-US", "de-DE". Default: "en-US"
output_settings (object) - {"knowledge_card_settings": {"image_dark_mode": true}} for dark mode

Chart Insights (GET /v1/beta/chart_insights)

card_id (string, required) - Card ID from Knowledge Search or Create Card response

Visualize Datasets (POST /v1/beta/visualize)

Body:

csv (array of strings, required) - CSV data with headers in first row. Example: `["name,value

Apple,3.7 NVIDIA,3.4"]`

query (string) - How to visualize (e.g. "Show as a bar chart")
viz_component_type (string) - Force chart type: bar, grouped_bar, stacked_bar, timeseries, pie, choropleth, scatter, boxplot, heatmap, waterfall, histogram, table, treemap

Create Card (POST /v1/thin_viz/create/)

Body:

components (array, required) - Each needs component_type (header, categorical_bar, pie, scatter, table, choropleth, heatmap, histogram, boxplot, treemap, waterfall, bubble, etc.) and config (type-specific data)
title (string) - Card title
description (string) - Card description
source (string) - Data source attribution for footer

List Default Schemas (GET /v1/thin_viz/default_schema/)

No parameters.

Tool Descriptions (GET /v1/tako_tools_description)

index_ids (string) - Comma-separated index IDs to filter

Response

Knowledge Search — `data.outputs.knowledge_cards[]`

card_id - Unique ID (use for Chart Insights or embed URLs)
title - Chart title
description - Text description of the data and trends
card_type - "chart", "table", "company", or "text"
webpage_url - Interactive card page on Tako
image_url - Static chart image (embed in messages, reports)
embed_url - Embeddable iframe URL
relevance - "High", "Medium", or "Low"
sources - Data sources with name and description
visualization_data - Raw chart data points

Chart Insights — `data`

insights - Array of AI-generated observations
description - Chart description

Create Card — `data`

card_id, title, webpage_url, image_url, embed_url

Examples

# What's the US unemployment rate?
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/knowledge_search","body":{"inputs":{"text":"US unemployment rate"}}}'

# Compare company revenues
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/knowledge_search","body":{"inputs":{"text":"Apple vs Microsoft vs Google revenue","search_effort":"deep"}}}'

# Get insights on a chart
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/beta/chart_insights","query":{"card_id":"sXQPVnixcDUf2Iw35Via"}}'

# Visualize your own CSV data
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/beta/visualize"}'
North America,500
Europe,300
Asia,250
LatAm,100"], "query": "Show sales by region"}'

# Create a custom bar chart
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tako","path":"/v1/thin_viz/create/","body":{"components":[{"component_type":"categorical_bar","config":{"datasets":[{"label":"Revenue","data":[{"x":"Q1","y":100},{"x":"Q2","y":200}]}]}}],"title":"Quarterly Revenue"}}'

Tips

Knowledge Search is the main endpoint — start here for any data question
Use image_url to display charts in Slack, Discord, or other channels
embed_url gives an interactive iframe for web pages
Call List Default Schemas before Create Card to see available chart types
Set search_effort: "deep" for complex multi-metric comparisons
Data coverage: stock prices, revenue, GDP, unemployment, population, sports stats, weather, health, and more

Error Handling

400 - Invalid body or missing required fields
401 - Invalid API key
404 - Card not found (Chart Insights) or no results found (Knowledge Search)
Empty knowledge_cards array — try rephrasing or using source_indexes: ["tako", "web"]

data-charts-tako— agent skill

Is data-charts-tako safe to install?

Tako Knowledge Search & Visualization

Setup

When to Use

Usage

Search for Data

Get Chart Insights

Visualize Your Own Data

Create a Custom Chart

List Available Chart Types

Get Tako Tool Descriptions

Parameters

Knowledge Search (POST /v1/knowledge_search)

Chart Insights (GET /v1/beta/chart_insights)

Visualize Datasets (POST /v1/beta/visualize)

Create Card (POST /v1/thin_viz/create/)

List Default Schemas (GET /v1/thin_viz/default_schema/)

Tool Descriptions (GET /v1/tako_tools_description)

Response

Knowledge Search — `data.outputs.knowledge_cards[]`

Chart Insights — `data`

Create Card — `data`

Examples

Tips

Error Handling

Audit the pieces. Scan the whole. Decide.

Is data-charts-tako safe to install?

Tako Knowledge Search & Visualization

Setup

When to Use

Usage

Search for Data

Get Chart Insights

Visualize Your Own Data

Create a Custom Chart

List Available Chart Types

Get Tako Tool Descriptions

Parameters

Knowledge Search (POST /v1/knowledge_search)

Chart Insights (GET /v1/beta/chart_insights)

Visualize Datasets (POST /v1/beta/visualize)

Create Card (POST /v1/thin_viz/create/)

List Default Schemas (GET /v1/thin_viz/default_schema/)

Tool Descriptions (GET /v1/tako_tools_description)

Response

Knowledge Search — data.outputs.knowledge_cards[]

Chart Insights — data

Create Card — data

Examples

Tips

Error Handling

Audit the pieces. Scan the whole. Decide.

Knowledge Search — `data.outputs.knowledge_cards[]`

Chart Insights — `data`

Create Card — `data`