Inalpha

REVIEW ยท 72
Community indexed

๐ŸฆŠ Open-source professional quant agent framework. Agents pick the factors working now to time entries, write full strategies, and evolve them in a sandbox โ€” every order through machine approval, the LLM never on the order path. Multi-market, audit-grade.

Verified installs0
Stars132
Version1.0.0
Quality72/100 ยท Strong
Trust72/100 ยท Sandbox only
Audit82/100 ยท Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

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

Agent fit

Claude Code + CLI + Codex

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

Install

Ready

npx skills add mirror29/inalpha

Maintenance

active

2mo since push

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

132

72/100 Quality ยท 80/100 Trust

Coverage tags

CodingCoding agentsagent-frameworksagent-frameworkorchestration

Review notes

Financial research output is not financial advice; require human review before any live investment decision ยท Financial research output is not financial advice; require human review before any live investment decision.

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

Strong
72

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
72

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

Audit

Needs review
82

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.

PythonLLMCodexClaude CodeCursor

Stars

132 GitHub stars

Repo activity

132 stars, 13 forks

Maintenance

2mo since push

License

AGPL-3.0

Install

npx skills add mirror29/inalpha

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

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Stars/forks activity: 132 stars, 13 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • 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

PythonLLMCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add mirror29/inalpha
Policy
review
Human review
yes

Trust and risk

Trust
72/100
Audit
82/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add mirror29/inalpha

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • Financial research output is not financial advice; require human review before any live investment decision
  • Financial research output is not financial advice; require human review before any live investment decision.

Agent safety v2

66/100 ยท Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

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.

  • Financial research output is not financial advice; require human review before any live investment decision

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

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install mirror29-inalpha

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 Inalpha in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Inalpha%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/mirror29-inalpha/install
Install command: npx skills add mirror29/inalpha
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 Inalpha for this task. Review https://www.openagentskill.com/api/skills/mirror29-inalpha/install, then install with: npx skills add mirror29/inalpha

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

71/100

Finance and quant

Platforms

Python, LLM, Claude Code

Audit report

Needs review ยท 82/100

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

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Finance and quant

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

71
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
  • 72/100 quality profile

review first

  • 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

Sandbox only

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

72
OpenAgentSkill Trust Score

GitHub adoption

INFO

132 GitHub stars

Stars/forks activity

CHECK

132 stars, 13 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

AGPL-3.0

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

  • Financial research output is not financial advice; require human review before any live investment decision.
  • Quality score needs review
  • Stars/forks activity: 132 stars, 13 forks; issue activity unavailable in current metadata
  • 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

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

72
GitHub stars
132
Freshness
2mo ago
Install ready
Yes
License
AGPL-3.0

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

๐ŸฆŠ Open-source professional quant agent framework. Agents pick the factors working now to time entries, write full strategies, and evolve them in a sandbox โ€” every order through machine approval, the LLM never on the order path. Multi-market, audit-grade.

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
llmFULL

Technical details

Version
1.0.0
License
AGPL-3.0
Last updated
Aug 18, 2026
Published
Jun 21, 2026

Frameworks & tools

PythonLLM

Decision snapshot

Fallback candidate

71
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

82
Needs review
Security
88/100
Maintenance
88/100
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
โ€”
Recent failure
โ€”
Outcomes
0
Output quality
โ€”
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 report before installing into production agents.

Growth loop

Share kit

X

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

Curator note
Inalpha: ๐ŸฆŠ Open-source professional quant agent framework. Agents pick the factors working now to tim...

132 stars

https://www.openagentskill.com/skills/mirror29-inalpha?ref=x
Open X draft
Optional reply with install command
Listing + install path for Inalpha:
https://www.openagentskill.com/skills/mirror29-inalpha?ref=x

Install: npx skills add mirror29/inalpha

Listing source

Community indexed

Claimable

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

Creator
mirror29
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 mirror29 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/mirror29-inalpha?metric=listed&label=Listed)](https://www.openagentskill.com/skills/mirror29-inalpha)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/mirror29-inalpha?metric=trust&label=Trust)](https://www.openagentskill.com/skills/mirror29-inalpha)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/mirror29-inalpha?metric=audit&label=Audit)](https://www.openagentskill.com/skills/mirror29-inalpha/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/mirror29-inalpha?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/mirror29-inalpha)

Author

M

mirror29

@mirror29

Platform fit

Health signals

GitHub stars
132
Quality score
46/100
Last GitHub push
Jun 18, 2026
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

Sandbox only

72
  • GitHub adoption132 GitHub starsINFO
  • Stars/forks activity132 stars, 13 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance2mo since pushPASS
  • License clarityAGPL-3.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS