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Skills/agent-frameworks/Interactive LLM Powered NPCs

Interactive LLM Powered NPCs

REVIEW ยท 67
Community indexed

Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! ๐ŸŽฎ๐Ÿค–๐Ÿš€

Downloads0
Stars713
Version1.0.0
Quality55/100 ยท Promising
Trust67/100 ยท Sandbox only
Audit66/100 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

GitHub automation

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

Agent fit

Claude Code + LangChain + CLI

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

Install

Ready

npx skills add AkshitIreddy/Interactive-LLM-Powered-NPCs

Maintenance

stale

2y since push

Risk

Needs review

Repository appears stale

GitHub quality

713

55/100 quality ยท 75/100 trust

Coverage tags

CodingGitHub automationagent-frameworksllm-agentagents

Review notes

Repository appears stale ยท 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

Promising
55

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
67

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

Audit

Needs review
66

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.

PythonLLMCodexClaude CodeCursor

Stars

713 GitHub stars

Repo activity

713 stars, 75 forks

Maintenance

2y since push

License

MIT

Install

npx skills add AkshitIreddy/Interactive-LLM-Powered-NPCs

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

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y since push

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

  • Sports analytics workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Load football datasets

Suited agents

PythonLLMCodexClaude CodeCursorOpenAgentSkill CLILangChainCLI

Install decision

Command
npx skills add AkshitIreddy/Interactive-LLM-Powered-NPCs
Policy
review
Human review
yes

Trust and risk

Trust
67/100
Audit
66/100
Risk level
Needs review

Outcome loop

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

Install command

npx skills add AkshitIreddy/Interactive-LLM-Powered-NPCs
Public auditEval reportResolve 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

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Agent safety v2

50/100 ยท 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.

  • 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 AkshitIreddy/Interactive-LLM-Powered-NPCs

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%20Interactive%20LLM%20Powered%20NPCs%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Interactive%20LLM%20Powered%20NPCs%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/akshitireddy-interactive-llm-powered-npcs/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 Interactive LLM Powered NPCs in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Interactive%20LLM%20Powered%20NPCs%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/akshitireddy-interactive-llm-powered-npcs/install
Install command: npx skills add AkshitIreddy/Interactive-LLM-Powered-NPCs
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/akshitireddy-interactive-llm-powered-npcs/install

LLM text format

/api/skills/akshitireddy-interactive-llm-powered-npcs/install?format=text

Find alternatives

/api/skills/search?q=Interactive%20LLM%20Powered%20NPCs&limit=3

Agent prompt

Use Interactive LLM Powered NPCs for this task. Review https://www.openagentskill.com/api/skills/akshitireddy-interactive-llm-powered-npcs/install, then install with: npx skills add AkshitIreddy/Interactive-LLM-Powered-NPCs

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/akshitireddy-interactive-llm-powered-npcs

LLM text

/api/registry/manifest/akshitireddy-interactive-llm-powered-npcs?format=text

Install alias

/api/registry/install/akshitireddy-interactive-llm-powered-npcs

Recommend

/api/registry/recommend?task=Use%20Interactive%20LLM%20Powered%20NPCs%20in%20an%20agent%20workflow&limit=3

Agent fit

57/100

Sports analytics

Use-case tags

Sports analyticsGitHub automationCoding agents

Platforms

Python, LLM, Claude Code, LangChain

Audit report

Needs review ยท 66/100

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

Needs validation for Sports analytics

Do a manual repository review before adding this to an agent workflow.

57
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Sports analytics

Trust label

Needs manual review

Install path

Command ready

Use when

  • Sports analytics workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 713 GitHub stars
  • install command or GitHub repo available
  • 55/100 quality profile
  • 1 OpenAgentSkill engagement events

Review first

  • Repository looks stale

Implementation path

  1. 1Install it in a sandbox agent and run one Sports analytics 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.

67
Trust score

GitHub adoption

INFO

713 GitHub stars

Stars/forks activity

INFO

713 stars, 75 forks; issue activity unavailable in current metadata

Recent maintenance

FIX

2y since push

License clarity

PASS

MIT

Good signals

  • 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

  • Repository looks stale
  • Quality score needs review
  • Recent maintenance: 2y since push
  • 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.

55
GitHub stars
713
Freshness
2y ago
Install ready
Yes
License
MIT
Check before install: Repository looks stale

Workflow fit

Use this skill in these scenarios

Analyze matches

Sports analytics

I need my agent to analyze football matches, World Cup data, xG, players, teams, and predictions.

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.

Stack fit

Add it to a complete workflow

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

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.

Alternative shortlist

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Overview

Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! ๐ŸŽฎ๐Ÿค–๐Ÿš€

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
MIT
Last Updated
6/14/2026
Published
5/23/2026

Frameworks & Tools

PythonLLM

Decision snapshot

Needs validation

57
Ready
Review
Stage

713 GitHub stars

Audit snapshot

Install review

Install and adoption review

66
Needs review
Security
89/100
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
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.

Agent-Proven rankingOutcome contract

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 Interactive LLM Powered NPCs, ready for a manual X post.

Curator note
Creative agents need taste, but they also need a production surface they can actually operate.

Interactive LLM Powered NPCs gives creative agents a more practical produ...

713 stars

https://www.openagentskill.com/skills/akshitireddy-interactive-llm-powered-npcs?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Interactive LLM Powered NPCs:
https://www.openagentskill.com/skills/akshitireddy-interactive-llm-powered-npcs?ref=x

Install: npx skills add AkshitIreddy/Interactive-LLM-Powered-NPCs
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
AkshitIreddy
Source
AkshitIreddy/Interactive-LLM-Powered-NPCs
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 AkshitIreddy 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/akshitireddy-interactive-llm-powered-npcs?metric=listed&label=Listed)](https://www.openagentskill.com/skills/akshitireddy-interactive-llm-powered-npcs)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/akshitireddy-interactive-llm-powered-npcs?metric=trust&label=Trust)](https://www.openagentskill.com/skills/akshitireddy-interactive-llm-powered-npcs)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/akshitireddy-interactive-llm-powered-npcs?metric=audit&label=Audit)](https://www.openagentskill.com/skills/akshitireddy-interactive-llm-powered-npcs/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/akshitireddy-interactive-llm-powered-npcs?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/akshitireddy-interactive-llm-powered-npcs)
Preview badge Open audit Creator Kit

Author

A

AkshitIreddy

@akshitireddy

Tags

llm-agentagentsaiartificial-intelligenceautonomous-agentscomputer-visionlangchainlanguage-modelpythonvideo-game

Platform Fit

Claude CodeLangChain

Health Signals

GitHub stars
713
Quality score
39/100
Last GitHub push
Mar 22, 2024
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

67
  • GitHub adoption713 GitHub starsINFO
  • Stars/forks activity713 stars, 75 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance2y since pushFIX
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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