Barchart Ondemand Client Python

REVIEW · 59
Community indexed

Simple Python client for Barchart OnDemand REST APIs

Downloads0
Stars102
Version1.0.0
Quality41/100 · Needs review
Trust59/100 · Do not auto-install
Audit58/100 · Risky

Supply asset profile

Finance and quant workflows

Market data, SEC filings, portfolio analysis, quant research, backtesting, and risk workflows.

Browse track

Scenario

Finance and quant

I need my agent to analyze markets, financial data, filings, portfolios, and quant strategies.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add barchart/barchart-ondemand-client-python

Maintenance

stale

3y since push

Risk

Risky

License is unclear

GitHub quality

102

41/100 quality · 67/100 trust

Coverage tags

FinanceFinance and quantstocksmarket-datacrypto

Review notes

License is unclear · Repository appears stale

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Needs review
41

Inspect the repository carefully before adding it to an agent workflow.

Trust

Do not auto-install
59

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Risky
58

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Human review before install

Choose a stronger alternative or inspect the source manually before any install attempt.

PythonMarket DataCodexClaude CodeCursor

Stars

102 GitHub stars

Repo activity

102 stars, 34 forks

Maintenance

3y since push

License

Unknown

Install

npx skills add barchart/barchart-ondemand-client-python

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • License is unclear
  • Repository looks stale
  • Quality score needs review
  • Stars/forks activity: 102 stars, 34 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is unclear
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Finance and quant workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Retrieve market data

Suited agents

PythonMarket DataCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add barchart/barchart-ondemand-client-python
Policy
block
Human review
yes

Trust and risk

Trust
59/100
Audit
58/100
Risk level
Risky

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add barchart/barchart-ondemand-client-python

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • No OpenAgentSkill engagement data yet
  • Audit risk risky exceeds max_risk=medium

Agent safety v2

42/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Audit risk risky exceeds max_risk=medium
  • License is unclear

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add barchart/barchart-ondemand-client-python

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Barchart Ondemand Client Python in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Barchart%20Ondemand%20Client%20Python%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/barchart-barchart-ondemand-client-python/install
Install command: npx skills add barchart/barchart-ondemand-client-python
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Barchart Ondemand Client Python for this task. Review https://www.openagentskill.com/api/skills/barchart-barchart-ondemand-client-python/install, then install with: npx skills add barchart/barchart-ondemand-client-python

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

31/100

Finance and quant

Platforms

Python, Market Data, Claude Code

Audit report

Risky · 58/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Needs validation for Finance and quant

Do a manual repository review before adding this to an agent workflow.

31
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Finance and quant

Trust label

Needs manual review

Install path

Command ready

Use when

  • Finance and quant workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 41/100 quality profile

Review first

  • Repository looks stale
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Finance and quant task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

59
Trust score

GitHub adoption

INFO

102 GitHub stars

Stars/forks activity

CHECK

102 stars, 34 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

3y since push

License clarity

CHECK

Unknown

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • License is unclear
  • Repository looks stale
  • Quality score needs review
  • Stars/forks activity: 102 stars, 34 forks; issue activity unavailable in current metadata
  • Recent maintenance: 3y since push
  • License clarity: Unknown
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Choose a stronger alternative or inspect the source manually before any install attempt.

Quality profile

Needs review candidate for agent workflows

Inspect the repository carefully before adding it to an agent workflow.

41
GitHub stars
102
Freshness
3y ago
Install ready
Yes
License
Unknown
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

Simple Python client for Barchart OnDemand REST APIs

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
market-dataFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
7/3/2026
Published
7/2/2026

Frameworks & Tools

PythonMarket Data

Decision snapshot

Needs validation

31
Ready
Review
Stage

install command or GitHub repo available

Audit snapshot

Install review

Install and adoption review

58
Risky
Security
80/100
Maintenance
20/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Growth loop

Share kit

X

Scenario-led draft for Barchart Ondemand Client Python, ready for a manual X post.

Curator note
Finance agents don't need louder takes. They need sources, data, and a repeatable research path.

Barchart Ondemand Client Python helps turn market noise into source-back...

102 stars

https://www.openagentskill.com/skills/barchart-barchart-ondemand-client-python?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Barchart Ondemand Client Python:
https://www.openagentskill.com/skills/barchart-barchart-ondemand-client-python?ref=x

Install: npx skills add barchart/barchart-ondemand-client-python

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
barchart
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to barchart but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/barchart-barchart-ondemand-client-python)](https://www.openagentskill.com/skills/barchart-barchart-ondemand-client-python)

Author

B

barchart

@barchart

Platform Fit

Health Signals

GitHub stars
102
Quality score
33/100
Last GitHub push
Apr 20, 2023
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Do not auto-install

59
  • GitHub adoption102 GitHub starsINFO
  • Stars/forks activity102 stars, 34 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance3y since pushFIX
  • License clarityUnknownCHECK
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS