Star0

Py Sec Edgar

REVIEW · 67
Community indexed

Python application used to download, parse, and extract structured/unstructured data from filings in the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)

Downloads0
Stars127
Version1.0.0
Quality67/100 · Promising
Trust67/100 · Sandbox only
Audit77/100 · Needs review

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 ryansmccoy/py-sec-edgar

Maintenance

active

2mo since push

Risk

Needs review

License is unclear

GitHub quality

127

67/100 quality · 75/100 trust

Coverage tags

FinanceFinance and quantstocksmarket-datafinancial

Review notes

License is unclear · Quality score needs review

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

Promising
67

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
67

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
77

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

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonMarket DataCodexClaude CodeCursor

Stars

127 GitHub stars

Repo activity

127 stars, 22 forks

Maintenance

2mo since push

License

Unknown

Install

npx skills add ryansmccoy/py-sec-edgar

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, database access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • Quality score needs review
  • Stars/forks activity: 127 stars, 22 forks; issue activity unavailable in current metadata
  • License clarity: Unknown

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 ryansmccoy/py-sec-edgar
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
77/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add ryansmccoy/py-sec-edgar
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • License is unclear
  • Quality score needs review

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Agent safety v2

57/100 · Review before install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

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.

medium

Database access

Skill may inspect schemas, query databases, or work with persistent stores.

  • 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 ryansmccoy/py-sec-edgar

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

Resolve JSON

/api/agent/resolve?task=Use%20Py%20Sec%20Edgar%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Py%20Sec%20Edgar%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/ryansmccoy-py-sec-edgar/install

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 Py Sec Edgar in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Py%20Sec%20Edgar%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/ryansmccoy-py-sec-edgar/install
Install command: npx skills add ryansmccoy/py-sec-edgar
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

Install handoff

/api/skills/ryansmccoy-py-sec-edgar/install

LLM text format

/api/skills/ryansmccoy-py-sec-edgar/install?format=text

Find alternatives

/api/skills/search?q=Py%20Sec%20Edgar&limit=3

Agent prompt

Use Py Sec Edgar for this task. Review https://www.openagentskill.com/api/skills/ryansmccoy-py-sec-edgar/install, then install with: npx skills add ryansmccoy/py-sec-edgar

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

Manifest

/api/registry/manifest/ryansmccoy-py-sec-edgar

LLM text

/api/registry/manifest/ryansmccoy-py-sec-edgar?format=text

Install alias

/api/registry/install/ryansmccoy-py-sec-edgar

Recommend

/api/registry/recommend?task=Use%20Py%20Sec%20Edgar%20in%20an%20agent%20workflow&limit=3

Agent fit

67/100

Finance and quant

Use-case tags

Finance and quantDocument processingGitHub automation

Platforms

Python, Market Data, Claude Code

Audit report

Needs review · 77/100

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

Fallback candidate for Finance and quant

Prototype with this skill first; keep a fallback candidate ready.

67
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Finance and quant

Trust label

Prototype first

Install path

Command ready

Use when

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

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 67/100 quality profile
  • 2 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

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

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

67
Trust score

GitHub adoption

INFO

127 GitHub stars

Stars/forks activity

CHECK

127 stars, 22 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

CHECK

Unknown

Good signals

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

Review before install

  • License is unclear
  • Quality score needs review
  • Stars/forks activity: 127 stars, 22 forks; issue activity unavailable in current metadata
  • License clarity: Unknown
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

67
GitHub stars
127
Freshness
2mo ago
Install ready
Yes
License
Unknown

Workflow fit

Use this skill in these scenarios

Analyze markets

Finance and quant

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

Parse messy files

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Stack fit

Add it to a complete workflow

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Alternative shortlist

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Overview

Python application used to download, parse, and extract structured/unstructured data from filings in the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)

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
6/21/2026
Published
6/21/2026

Frameworks & Tools

PythonMarket Data

Decision snapshot

Fallback candidate

67
Ready
Prototype
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

77
Needs review
Security
79/100
Maintenance
88/100
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.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

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

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Py Sec Edgar, ready for a manual X post.

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

Py Sec Edgar helps turn market noise into source-backed analysis an agent can reuse.

127 stars

https://www.openagentskill.com/skills/ryansmccoy-py-sec-edgar?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Py Sec Edgar:
https://www.openagentskill.com/skills/ryansmccoy-py-sec-edgar?ref=x

Install: npx skills add ryansmccoy/py-sec-edgar
Open reply draft

Listing source

Community indexed

Claimable

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

Creator
ryansmccoy
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 ryansmccoy 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/ryansmccoy-py-sec-edgar)](https://www.openagentskill.com/skills/ryansmccoy-py-sec-edgar)
Preview badgeAudit badge

Author

R

ryansmccoy

@ryansmccoy

Tags

financestocksmarket-datafinancialfinancial-datafinancial-marketsgovopen-datasecsec-edgar

Platform Fit

Claude Code

Health Signals

GitHub stars
127
Quality score
45/100
Last GitHub push
Apr 23, 2026
Framework hints
2
OpenAgentSkill views
1
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

Sandbox only

67
  • GitHub adoption127 GitHub starsINFO
  • Stars/forks activity127 stars, 22 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance2mo since pushPASS
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskdatabase surfacePASS

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