Fe4ml Zh

REVIEW · 69
Community indexed

:book: [译] 面向机器学习的特征工程

Downloads0
Stars2.6K
Version1.0.0
Quality69/100 · Promising
Trust69/100 · Sandbox only
Audit69/100 · 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 apachecn/fe4ml-zh

Maintenance

stale

3y since push

Risk

Needs review

License is unclear

GitHub quality

2.6K

69/100 quality · 77/100 trust

Coverage tags

CodingCoding agentsml-automationmachine-learningautomation

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

Promising
69

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
69

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

Audit

Needs review
69

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.

JavaScriptMachine LearningCodexClaude CodeCursor

Stars

2.6K GitHub stars

Repo activity

2.6K stars, 671 forks

Maintenance

3y since push

License

Unknown

Install

npx skills add apachecn/fe4ml-zh

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
  • Documentation summary is thin

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

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

Suited agents

JavaScriptMachine LearningCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add apachecn/fe4ml-zh
Policy
review
Human review
yes

Trust and risk

Trust
69/100
Audit
69/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add apachecn/fe4ml-zh

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

Agent safety v2

53/100 · 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

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 apachecn/fe4ml-zh

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 Fe4ml Zh in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Fe4ml%20Zh%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/apachecn-fe4ml-zh/install
Install command: npx skills add apachecn/fe4ml-zh
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 Fe4ml Zh for this task. Review https://www.openagentskill.com/api/skills/apachecn-fe4ml-zh/install, then install with: npx skills add apachecn/fe4ml-zh

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

Coding agents

Platforms

JavaScript, Machine Learning, Claude Code

Audit report

Needs review · 69/100

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 Coding agents

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

71
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Coding agents

Trust label

Prototype first

Install path

Command ready

Use when

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

Evidence

  • 2,558 GitHub stars
  • install command or GitHub repo available
  • 69/100 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

Sandbox only

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

69
Trust score

GitHub adoption

PASS

2.6K GitHub stars

Stars/forks activity

PASS

2.6K stars, 671 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

3y since push

License clarity

CHECK

Unknown

Good signals

  • Manually verified listing
  • 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
  • Documentation summary is thin
  • Recent maintenance: 3y 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

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

69
GitHub stars
2.6K
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

:book: [译] 面向机器学习的特征工程

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

javascriptFULL
machine-learningFULL

Technical Details

Version
1.0.0
License
Unknown
Last Updated
6/20/2026
Published
6/20/2026

Frameworks & Tools

JavaScriptMachine Learning

Decision snapshot

Fallback candidate

71
Ready
Prototype
Stage

2,558 GitHub stars

Audit snapshot

Install review

Install and adoption review

69
Needs review
Security
81/100
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 Fe4ml Zh, ready for a manual X post.

Curator note
Most coding agents don't fail from lack of model power. They fail when repo context disappears.

Fe4ml Zh gives coding agents a repeatable way to plan, patch, review, or ship.

2.6K stars

https://www.openagentskill.com/skills/apachecn-fe4ml-zh?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Fe4ml Zh:
https://www.openagentskill.com/skills/apachecn-fe4ml-zh?ref=x

Install: npx skills add apachecn/fe4ml-zh

Listing source

Community indexed

Claimable

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

Creator
apachecn
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 apachecn 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/apachecn-fe4ml-zh)](https://www.openagentskill.com/skills/apachecn-fe4ml-zh)

Author

A

apachecn

@apachecn

Platform Fit

Health Signals

GitHub stars
2.6K
Quality score
51/100
Last GitHub push
Aug 25, 2023
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

69
  • GitHub adoption2.6K GitHub starsPASS
  • Stars/forks activity2.6K stars, 671 forks; issue activity unavailable in current metadataPASS
  • 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