A collection of AI agent skills for Hermes Agent — research, creative, productivity, devops, and more. Each skill is self-contained and tested.
Supply asset profile
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + OpenAI Agents + CLI
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add moonlight-lupin/agent-skills
Maintenance
fresh
2d since push
Risk
Needs review
Permission surface may require sandboxing
GitHub quality
14
70/100 quality · 73/100 trust
Coverage tags
Review notes
Permission surface may require sandboxing · Low GitHub adoption signal
Agent adoption scorecard
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
14 GitHub stars
Repo activity
14 stars, 1 forks
Maintenance
2d since push
License
MIT
Install
npx skills add moonlight-lupin/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
Install readiness
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add moonlight-lupin/agent-skillsDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Install targets
Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add moonlight-lupin/agent-skillsAgent resolve plan
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.
Resolve 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/moonlight-lupin-agent-skills/install
Agent should check
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/moonlight-lupin-agent-skills/install
Install command: npx skills add moonlight-lupin/agent-skills
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/moonlight-lupin-agent-skills/install
LLM text format
/api/skills/moonlight-lupin-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/moonlight-lupin-agent-skills/install, then install with: npx skills add moonlight-lupin/agent-skillsRegistry metadata
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.
Manifest
/api/registry/manifest/moonlight-lupin-agent-skills
LLM text
/api/registry/manifest/moonlight-lupin-agent-skills?format=text
Install alias
/api/registry/install/moonlight-lupin-agent-skills
Recommend
/api/registry/recommend?task=Use%20Agent%20Skills%20in%20an%20agent%20workflow&limit=3
Agent fit
Design and creative
Platforms
Python, Claude Code, OpenAI Agents
Audit report
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Prototype with this skill first; keep a fallback candidate ready.
Role in stack
Fallback candidate
Primary fit
Design and creative
Trust label
Prototype first
Install path
Command ready
Use when
Evidence
Review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
FIX14 GitHub stars
Stars/forks activity
FIX14 stars, 1 forks; issue activity unavailable in current metadata
Recent maintenance
PASS2d since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Create assets
I need my agent to produce design assets, UI directions, presentations, or creative media workflows.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate web apps
I need my agent to control a browser, fill forms, and verify web app workflows.
Stack fit
Find, compare, and synthesize
A stack for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Operate and verify web apps
A stack for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Turn skills into distribution
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills in this category, ranked with the same readiness and quality signals.
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# Agent Skills
[](https://github.com/moonlight-lupin/agent_skills/actions/workflows/test.yml) [](https://opensource.org/licenses/MIT) [](https://www.python.org/downloads/)
A collection of AI agent skills built for [Hermes Agent](https://hermes-agent.nousresearch.com), organised by domain. Each skill is self-contained in its own folder — pick and choose which to install.
> **Portability:** These skills are written for Hermes's tool architecture (`web_search`, `web_extract`, `terminal`, `delegate_task`, `cronjob`, etc.) and SKILL.md format. However, the workflows, prompts, and scripts are agent-agnostic — an AI agent on any platform (Claude Code, Codex, OpenCode, LangGraph, etc.) should be able to adapt them by mapping the tool names and adjusting the skill loader conventions to their own environment.
## Repository structure
```text agent_skills/ ├── README.md ← you are here (repo-level) ├── LICENSE ├── creative/ ← image and video generation workflows │ ├── image-studio/ ← staged fal.ai image generation/editing/cleanup │ ├── clips-studio/ ← staged fal.ai short-video generation/animation/camera moves │ └── pexels-stock-photos/ ← free real-world stock photo search + download (Pexels API) ├── research/ ← source-grounded research, enrichment, and RAG skills │ ├── deep-research/ ← iterative research engine with structured evidence, source quality ranking, refute polarity │ ├── entity-research/ ← cited entity/person background dossiers + sanctions signals │ ├── news-monitoring/ ← recurring news digests with cron delivery + multi-language │ ├── notebooklm-mode/ ← No
Frameworks & Tools
Decision snapshot
recent repository activity
Audit snapshot
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
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
Free and open source. Review the audit before production use.
Growth loop
Scenario-led draft for Agent Skills, ready for a manual X post.
The useful research skills are not search wrappers. They help agents keep sources attached. Agent Skills helps agents turn docs, data, or knowledge bases into grounded work. 14 stars https://www.openagentskill.com/skills/moonlight-lupin-agent-skills?ref=x #AIAgents
Listing + install path for Agent Skills: https://www.openagentskill.com/skills/moonlight-lupin-agent-skills?ref=x Install: npx skills add moonlight-lupin/agent-skills
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This community indexed listing is attributed to moonlight-lupin 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
Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/moonlight-lupin-agent-skills)
[](https://www.openagentskill.com/skills/moonlight-lupin-agent-skills)
[](https://www.openagentskill.com/skills/moonlight-lupin-agent-skills/audit)
[](https://www.openagentskill.com/skills/moonlight-lupin-agent-skills)moonlight-lupin
@moonlight-lupin
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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