Star200+

Agent Skills

REVIEW · 64
Community indexed

agent-skills

Verified installs0
Stars11
Version1.0.0
Quality71/100 · Strong
Trust64/100 · Sandbox only
Audit79/100 · Needs review

Supply asset profile

Coding and developer agents

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

Browse track

Scenario

GitHub automation

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

Agent fit

Claude Code + OpenAI Agents + Cursor

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

Install

Ready

npx skills add j4flmao/agent-skills

Maintenance

fresh

28d since push

Risk

Needs review

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

GitHub quality

11

71/100 Quality · 72/100 Trust

Coverage tags

CodingGitHub automationutilityagent-skillskill

Review notes

Financial research output is not financial advice; require human review before any live investment decision · Low GitHub adoption signal

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
71

Solid option that is likely worth shortlisting for production workflows.

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
79

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.

JavaScriptCodexClaude CodeCursorOpenAgentSkill CLI

Stars

11 GitHub stars

Repo activity

11 stars, 0 forks

Maintenance

28d since push

License

MIT

Install

npx skills add j4flmao/agent-skills

Install safety

standard package or runtime install path

Permission surface

shell or command execution, 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.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 11 GitHub stars

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

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

JavaScriptCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add j4flmao/agent-skills
Policy
review
Human review
yes

Trust and risk

Trust
64/100
Audit
79/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add j4flmao/agent-skills
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • High-risk permission hints: Shell or command execution
  • Financial research output is not financial advice; require human review before any live investment decision

Alternative

Khazix Skills

19.6K Stars

npx skills add KKKKhazix/khazix-skills

Alternative

Awesome Claude Skills

65.9K Stars

npx skills add ComposioHQ/awesome-claude-skills

Alternative

Claude Scientific Skills

31.2K Stars

npx skills add K-Dense-AI/claude-scientific-skills

Agent safety v2

51/100 · 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

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

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.

  • High-risk permission hints: Shell or command execution
  • 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 j4flmao-agent-skills

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%20Agent%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

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

Install handoff

/api/skills/j4flmao-agent-skills/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 Agent Skills in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Agent%20Skills%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/j4flmao-agent-skills/install
Install command: npx skills add j4flmao/agent-skills
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/j4flmao-agent-skills/install

LLM text format

/api/skills/j4flmao-agent-skills/install?format=text

Find alternatives

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

Agent prompt

Use Agent Skills for this task. Review https://www.openagentskill.com/api/skills/j4flmao-agent-skills/install, then install with: npx skills add j4flmao/agent-skills

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/j4flmao-agent-skills

LLM text

/api/registry/manifest/j4flmao-agent-skills?format=text

Install alias

/api/registry/install/j4flmao-agent-skills

Recommend

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

Agent fit

71/100

GitHub automation

Use-case tags

GitHub automationCoding agentsWorkflow automation

Platforms

JavaScript, Claude Code, OpenAI Agents, Cursor

Audit report

Needs review · 79/100

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

View audit reportView eval report

Agent decision cockpit

Fallback candidate for GitHub automation

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

71
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

GitHub automation

Trust label

Prototype first

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 71/100 quality profile
  • 2 OpenAgentSkill engagement events

review first

  • Low GitHub adoption signal

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation 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

FIX

11 GitHub stars

Stars/forks activity

FIX

11 stars, 0 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

28d since push

License clarity

PASS

MIT

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.
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 11 GitHub stars
  • Stars/forks activity: 11 stars, 0 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.

71
GitHub stars
11
Freshness
28d ago
Install ready
Yes
License
MIT
Review before install: Low GitHub adoption signal

Workflow fit

Use this skill in these scenarios

Manage repositories

GitHub automation

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

Build and ship code

Coding agents

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

Automate repeated work

Workflow automation

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

Workflow fit

Add it to a complete workflow

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.

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.

Design, build, test, and ship interfaces

Frontend and UI

A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Khazix Skills

A collection of practical, installable AI agent skills for disk cleanup, AI news retrieval, and project management, following the Agent Skills standard.

Adopt
Ready100
Quality100
Stars19.6K

Awesome Claude Skills

A curated list of resources and tools for enhancing Claude AI workflows.

Adopt
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Claude Scientific Skills

A comprehensive collection of ready-to-use scientific and research skills for AI agents.

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Overview

# @j4flmao/agent-skills

542 agent skills for software development — planning, backend, frontend, desktop, mobile, devops, management, enterprise, product, ml, ai, security, data, data-science, design, quality, blockchain, prompt-engineering, cloud-native, system-design, site-reliability-engineering, game. Each skill is a `SKILL.md` defining triggers, rules, and response format.

## Installation

### Option 1: Use in the repo directly (no install needed)

Agent config files are already in this repo. Open this project in your agent and it works immediately:

```bash git clone https://github.com/j4flmao/agent-skills cd agent-skills # Open your agent here — configs are ready ```

| Agent | Auto-loaded files | |-------|-------------------| | Claude Code | `.claude/CLAUDE.md` + `.claude/rules/` + `.claude/skills/` + `.claude/hooks/` + `.claude/settings.json` | | OpenCode | `.opencode/AGENTS.md` + `.opencode/commands/*.md` | | Amp | `.amp/AGENTS.md` + `.amp/agent-skills.md` + `.amp/subagents.md` | | GitHub Copilot | `.github/copilot-instructions.md` | | Gemini | `.gemini/INSTRUCTIONS.md` | | Cursor | `.cursor/rules/agent-skills.mdc` + `.cursor/rules/compression.mdc` | | Codex CLI | `.codex/AGENTS.md` + `.codex/rules/` + `.codex/hooks/` + `.codex/skills/` | | Windsurf | `.windsurf/rules/*.md` |

### Option 2: Copy skills into another project

Clone once, then copy the agent config folder into any project:

```bash # Clone skills repo somewhere on your machine git clone https://github.com/j4flmao/agent-skills ~/skills

# Copy the config for your agent into your project cp -r ~/skills/.claude /path/to/your/project/ # Claude Code cp -r ~/skills/.opencode /path/to/your/project/ # OpenCode cp -r ~/skills/.cursor /path/to/your/project/ # Cursor cp -r ~/skills/.amp /path/to/your/project/ # Amp cp -r ~/skills/.codex /path/to/your/project/ # Codex CLI cp -r ~/skills/.windsurf /path/to/your/project/ # Windsurf ```

Or cherry-pick individual skills:

```bash

Platform compatibility

javascriptFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 18, 2026
Published
Jul 25, 2026

Frameworks & tools

JavaScript

Decision snapshot

Fallback candidate

71
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

79
Needs review
Security
81/100
Maintenance
100/100
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 Agent Skills, ready for a manual X post.

Curator note
For a web workflow, this is a skill worth shortlisting before another blank prompt.

Agent Skills: agent-skills

11 stars

https://www.openagentskill.com/skills/j4flmao-agent-skills?ref=x
Open X draft
Optional reply with install command
Listing + install path for Agent Skills:
https://www.openagentskill.com/skills/j4flmao-agent-skills?ref=x

Install: npx skills add j4flmao/agent-skills
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
j4flmao
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 j4flmao 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/j4flmao-agent-skills?metric=listed&label=Listed)](https://www.openagentskill.com/skills/j4flmao-agent-skills)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/j4flmao-agent-skills?metric=trust&label=Trust)](https://www.openagentskill.com/skills/j4flmao-agent-skills)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/j4flmao-agent-skills?metric=audit&label=Audit)](https://www.openagentskill.com/skills/j4flmao-agent-skills/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/j4flmao-agent-skills?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/j4flmao-agent-skills)
Preview badge Open audit Creator kit

Author

J

j4flmao

@j4flmao

Tags

agent-skillskillagentweb3-workflowjavascript

Platform fit

Claude CodeOpenAI AgentsCursor

Health signals

GitHub stars
11
Quality score
45/100
Last GitHub push
Jul 25, 2026
Framework hints
1
OpenAgentSkill views
2
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 adoption11 GitHub starsFIX
  • Stars/forks activity11 stars, 0 forks; issue activity unavailable in current metadataFIX
  • Recent maintenance28d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO

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InstallView on GitHub