Star200+

Chanlun

REVIEW · 64
Community indexed

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

Downloads0
Stars561
Version1.0.0
Quality49/100 · Needs review
Trust64/100 · Sandbox only
Audit62/100 · 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 tomcat123a/-chanlun

Maintenance

stale

2y since push

Risk

Needs review

License is unclear

GitHub quality

561

49/100 Quality · 72/100 Trust

Coverage tags

FinanceFinance and quanttradingdeep-learningdeep-neural-networks

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
49

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

Trust

Sandbox only
64

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

Audit

Needs review
62

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

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

PythonTradingCodexClaude CodeCursor

Stars

561 GitHub stars

Repo activity

561 stars, 320 forks

Maintenance

2y since push

License

Unknown

Install

npx skills add tomcat123a/-chanlun

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • License is unclear
  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y since push

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

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Chunk documents

Suited agents

PythonTradingCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add tomcat123a/-chanlun
Policy
review
Human review
yes

Trust and risk

Trust
64/100
Audit
62/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add tomcat123a/-chanlun
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • License is unclear
  • Repository appears stale

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Agent safety v2

46/100 · Avoid automatic 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.

  • License is unclear

Install targets

Install this skill in your agent workflow

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

skill install

OpenAgentSkill CLI

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

$ npx skills add tomcat123a/-chanlun

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

Open JSON

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

Resolve text

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

Install handoff

/api/skills/tomcat123a-chanlun/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  Chanlun in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20%20Chanlun%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/tomcat123a-chanlun/install
Install command: npx skills add tomcat123a/-chanlun
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/tomcat123a-chanlun/install

LLM text format

/api/skills/tomcat123a-chanlun/install?format=text

Find alternatives

/api/skills/search?q=%20Chanlun&limit=3

Agent prompt

Use  Chanlun for this task. Review https://www.openagentskill.com/api/skills/tomcat123a-chanlun/install, then install with: npx skills add tomcat123a/-chanlun

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/tomcat123a-chanlun

LLM text

/api/registry/manifest/tomcat123a-chanlun?format=text

Install alias

/api/registry/install/tomcat123a-chanlun

Recommend

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

Agent fit

54/100

RAG and knowledge

Use-case tags

RAG and knowledgeWorkflow automationCoding agents

Platforms

Python, Trading, Claude Code

Audit report

Needs review · 62/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Needs validation for RAG and knowledge

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

54
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

RAG and knowledge

Trust label

Needs manual review

Install path

Command ready

Use when

  • RAG and knowledge workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 561 GitHub stars
  • install command or GitHub repo available
  • 49/100 quality profile
  • 9 OpenAgentSkill engagement events

review first

  • Repository looks stale

Implementation path

  1. 1Install it in a sandbox agent and run one RAG and knowledge 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.

64
OpenAgentSkill Trust Score

GitHub adoption

INFO

561 GitHub stars

Stars/forks activity

INFO

561 stars, 320 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

2y since push

License clarity

CHECK

Unknown

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Meaningful GitHub adoption signal
  • 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
  • Recent maintenance: 2y since push
  • 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

Needs review candidate for agent workflows

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

49
GitHub stars
561
Freshness
2y ago
Install ready
Yes
License
Unknown
Review before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Workflow fit

Add it to a complete workflow

Ingest, retrieve, and cite

RAG knowledge base

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

Turn skills into distribution

Content growth agent

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

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Overview

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

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
tradingFULL

Technical details

Version
1.0.0
License
Unknown
Last updated
Jun 14, 2026
Published
Jun 12, 2026

Frameworks & tools

PythonTrading

Decision snapshot

Needs validation

54
Ready
Review
Stage

561 GitHub stars

Audit

Install review

Install and adoption review

62
Needs review
Security
82/100
Maintenance
20/100
Install
92/100
Open full auditView 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 report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Chanlun, ready for a manual X post.

Curator note
A practical pick for market research:

Chanlun: 文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的...

561 stars

https://www.openagentskill.com/skills/tomcat123a-chanlun?ref=x
Open X draft
Optional reply with install command
Listing + install path for Chanlun:
https://www.openagentskill.com/skills/tomcat123a-chanlun?ref=x

Install: npx skills add tomcat123a/-chanlun
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
tomcat123a
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 tomcat123a 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.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/tomcat123a-chanlun?metric=listed&label=Listed)](https://www.openagentskill.com/skills/tomcat123a-chanlun)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/tomcat123a-chanlun?metric=trust&label=Trust)](https://www.openagentskill.com/skills/tomcat123a-chanlun)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/tomcat123a-chanlun?metric=audit&label=Audit)](https://www.openagentskill.com/skills/tomcat123a-chanlun/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/tomcat123a-chanlun?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/tomcat123a-chanlun)
Preview badge Open audit Creator kit

Author

T

tomcat123a

@tomcat123a

Tags

financetradingdeep-learningdeep-neural-networksdeep-reinforcement-learningtrading-algorithmstrading-bottrading-strategiespythongithub

Platform fit

Claude Code

Health signals

GitHub stars
561
Quality score
38/100
Last GitHub push
Apr 2, 2024
Framework hints
2
OpenAgentSkill views
5
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

64
  • GitHub adoption561 GitHub starsINFO
  • Stars/forks activity561 stars, 320 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance2y since pushFIX
  • License clarityUnknownCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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