Star0

Awesome Machine Learning On Source Code

TRUSTED · 86
Community indexed

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

Downloads0
Stars6.6K
Version1.0.0
Quality79/100 · Strong
Trust86/100 · Production candidate
Audit76/100 · Needs review

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

RAG and knowledge

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

Agent fit

Claude Code + CLI + Codex

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

Install

Ready

npx skills add src-d/awesome-machine-learning-on-source-code

Maintenance

stale

6y since push

Risk

Needs review

Repository appears stale

GitHub quality

6.6K

79/100 quality · 86/100 trust

Coverage tags

ResearchRAG and knowledgeml-automationmachine-learningautomation

Review notes

Repository appears stale · Repository looks 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

Strong
79

Solid option that is likely worth shortlisting for production workflows.

Trust

Production candidate
86

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

Audit

Needs review
76

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

Trust Score v3

Agent install candidate

Shortlist for production use, then run a normal repository and dependency review.

Machine LearningCodexClaude CodeCursorOpenAgentSkill CLI

Stars

6.6K GitHub stars

Repo activity

6.6K stars, 834 forks

Maintenance

6y since push

License

CC-BY-SA-4.0

Install

npx skills add src-d/awesome-machine-learning-on-source-code

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 6y since push

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • 6y since push

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

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Inspect source files
  • Explain architecture

Suited agents

Machine LearningCodexClaude CodeCursorOpenAgentSkill CLICLI

Trust and risk

Trust score
86/100
Risk level
Needs review
Auto install
review

Install command

npx skills add src-d/awesome-machine-learning-on-source-code
Public auditResolve APIInstall handoff

Do not use when

  • teams that require actively maintained dependencies
  • production agents without a repository review
  • Repository looks stale
  • Repository appears stale
  • Quality score needs review

Alternative

Tensorflow

195.7K stars

npx skills add tensorflow/tensorflow

Alternative

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161.6K stars

npx skills add huggingface/transformers

Alternative

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100.8K stars

npx skills add pytorch/pytorch

Alternative

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Agent safety v2

60/100 · 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.

  • Repository appears stale

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 src-d/awesome-machine-learning-on-source-code

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%20Awesome%20Machine%20Learning%20On%20Source%20Code%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Awesome%20Machine%20Learning%20On%20Source%20Code%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/src-d-awesome-machine-learning-on-source-code/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 Awesome Machine Learning On Source Code in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Awesome%20Machine%20Learning%20On%20Source%20Code%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/src-d-awesome-machine-learning-on-source-code/install
Install command: npx skills add src-d/awesome-machine-learning-on-source-code
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/src-d-awesome-machine-learning-on-source-code/install

LLM text format

/api/skills/src-d-awesome-machine-learning-on-source-code/install?format=text

Find alternatives

/api/skills/search?q=Awesome%20Machine%20Learning%20On%20Source%20Code&limit=3

Agent prompt

Use Awesome Machine Learning On Source Code for this task. Review https://www.openagentskill.com/api/skills/src-d-awesome-machine-learning-on-source-code/install, then install with: npx skills add src-d/awesome-machine-learning-on-source-code

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/src-d-awesome-machine-learning-on-source-code

LLM text

/api/registry/manifest/src-d-awesome-machine-learning-on-source-code?format=text

Install alias

/api/registry/install/src-d-awesome-machine-learning-on-source-code

Recommend

/api/registry/recommend?task=Use%20Awesome%20Machine%20Learning%20On%20Source%20Code%20in%20an%20agent%20workflow&limit=3

Agent fit

81/100

Coding agents

Use-case tags

Coding agentsRAG and knowledgeResearch agents

Platforms

Machine Learning, Claude Code

Audit report

Needs review · 76/100

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

View audit report

Agent decision cockpit

Companion skill for Coding agents

Shortlist this skill and compare it with close alternatives before production adoption.

81
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Coding agents

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 6,592 GitHub stars
  • install command or GitHub repo available
  • 79/100 quality profile
  • 1 OpenAgentSkill engagement events

Review first

  • Repository looks stale

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents 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

Production candidate

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

86
Trust score

GitHub adoption

PASS

6.6K GitHub stars

Stars/forks activity

PASS

6.6K stars, 834 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

6y since push

License clarity

PASS

CC-BY-SA-4.0

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Large GitHub adoption signal
  • Install command has no obvious high-risk pattern

Review before install

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 6y since push

Recommended action

Shortlist for production use, then run a normal repository and dependency review.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

79
GitHub stars
6.6K
Freshness
6y ago
Install ready
Yes
License
CC-BY-SA-4.0
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

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

Search private knowledge

RAG and knowledge

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

Investigate faster

Research agents

I need my agent to research a topic, compare sources, and produce a concise report.

Stack fit

Add it to a complete workflow

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.

Find, compare, and synthesize

Research report agent

A stack for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.

Alternative shortlist

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Overview

Cool links & research papers related to Machine Learning applied to source code (MLonCode)

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

machine-learningFULL

Technical Details

Version
1.0.0
License
CC-BY-SA-4.0
Last Updated
6/16/2026
Published
6/13/2026

Frameworks & Tools

Machine Learning

Decision snapshot

Companion skill

81
Ready
Shortlist
Stage

6,592 GitHub stars

Audit snapshot

Install review

Install and adoption review

76
Needs review
Security
89/100
Maintenance
20/100
Install
92/100
Open full audit

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 Awesome Machine Learning On Source Code, ready for a manual X post.

OpenAgentSkill Update
OpenAgentSkill Update
Today: Awesome Machine Learning On Source Code

Use it when you want an agent to turn market noise into s...

6.6K stars - ml-automation
Link: https://www.openagentskill.com/skills/src-d-awesome-machine-learning-on-source-code?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Awesome Machine Learning On Source Code:
https://www.openagentskill.com/skills/src-d-awesome-machine-learning-on-source-code?ref=x

Install: npx skills add src-d/awesome-machine-learning-on-source-code
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
src-d
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 src-d 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/src-d-awesome-machine-learning-on-source-code)](https://www.openagentskill.com/skills/src-d-awesome-machine-learning-on-source-code)
Preview badgeAudit badge

Author

S

src-d✓

@src-d

Tags

machine-learningautomationml-mediaawesomeawesome-listmachine-learning-on-source-codegithub

Platform Fit

Claude Code

Health Signals

GitHub stars
6.6K
Quality score
53/100
Last GitHub push
Dec 3, 2020
Framework hints
1
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

Production candidate

86
  • GitHub adoption6.6K GitHub starsPASS
  • Stars/forks activity6.6K stars, 834 forks; issue activity unavailable in current metadataPASS
  • Recent maintenance6y since pushFIX
  • License clarityCC-BY-SA-4.0PASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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