AI Shortfilm Prompts

REVIEW · 70
Community indexed

Methodology + prompts + Claude Code Skill behind Zombie Scavenger by Mx-Shell — the AI short PJ Ace called "one of the best short films I've seen in years." Works with Sora · Kling · Veo · Seedance.

Downloads0
Stars187
Version1.0.0
Quality80/100 · Strong
Trust70/100 · Sandbox only
Audit84/100 · Safe to try

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 jnMetaCode/ai-shortfilm-prompts

Maintenance

fresh

13d since push

Risk

Safe to try

Quality score needs review

GitHub quality

187

80/100 quality · 78/100 trust

Coverage tags

CodingCoding agentsdevelopmentclaude-codeagent-skills

Review notes

Quality score needs review · Stars/forks activity: 187 stars, 31 forks; issue activity unavailable in current metadata

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
80

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
70

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

Audit

Safe to try
84

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.

PythonClaude CodeCodexCursorOpenAgentSkill CLI

Stars

187 GitHub stars

Repo activity

187 stars, 31 forks

Maintenance

13d since push

License

MIT

Install

npx skills add jnMetaCode/ai-shortfilm-prompts

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

  • Quality score needs review
  • Stars/forks activity: 187 stars, 31 forks; issue activity unavailable in current metadata

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

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files

Suited agents

PythonClaude CodeCodexCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add jnMetaCode/ai-shortfilm-prompts
Policy
review
Human review
yes

Trust and risk

Trust
70/100
Audit
84/100
Risk level
Safe to try

Outcome loop

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

Install command

npx skills add jnMetaCode/ai-shortfilm-prompts

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution
  • Quality score needs review

Agent safety v2

56/100 · Review before 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
  • Quality score needs review

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 jnMetaCode/ai-shortfilm-prompts

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 AI Shortfilm Prompts in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20AI%20Shortfilm%20Prompts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/jnmetacode-ai-shortfilm-prompts/install
Install command: npx skills add jnMetaCode/ai-shortfilm-prompts
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 AI Shortfilm Prompts for this task. Review https://www.openagentskill.com/api/skills/jnmetacode-ai-shortfilm-prompts/install, then install with: npx skills add jnMetaCode/ai-shortfilm-prompts

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

79/100

Coding agents

Platforms

Python, Claude Code

Audit report

Safe to try · 84/100

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

Companion skill for Coding agents

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

79
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
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 80/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

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.

70
Trust score

GitHub adoption

INFO

187 GitHub stars

Stars/forks activity

CHECK

187 stars, 31 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

13d 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

  • Quality score needs review
  • Stars/forks activity: 187 stars, 31 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.

80
GitHub stars
187
Freshness
13d ago
Install ready
Yes
License
MIT

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

Methodology + prompts + Claude Code Skill behind Zombie Scavenger by Mx-Shell — the AI short PJ Ace called "one of the best short films I've seen in years." Works with Sora · Kling · Veo · Seedance.

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
claude-codeFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/21/2026
Published
6/21/2026

Frameworks & Tools

PythonClaude Code

Decision snapshot

Companion skill

79
Ready
Shortlist
Stage

recent repository activity

Audit snapshot

Install review

Install and adoption review

84
Safe to try
Security
83/100
Maintenance
100/100
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 AI Shortfilm Prompts, 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.

AI Shortfilm Prompts gives coding agents a repeatable way to plan, patch, review,...

187 stars

https://www.openagentskill.com/skills/jnmetacode-ai-shortfilm-prompts?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for AI Shortfilm Prompts:
https://www.openagentskill.com/skills/jnmetacode-ai-shortfilm-prompts?ref=x

Install: npx skills add jnMetaCode/ai-shortfilm-prompts

Listing source

Community indexed

Claimable

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

Creator
jnMetaCode
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 jnMetaCode 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/jnmetacode-ai-shortfilm-prompts)](https://www.openagentskill.com/skills/jnmetacode-ai-shortfilm-prompts)

Author

J

jnMetaCode

@jnmetacode

Platform Fit

Health Signals

GitHub stars
187
Quality score
50/100
Last GitHub push
Jun 20, 2026
Framework hints
2
OpenAgentSkill views
0
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

70
  • GitHub adoption187 GitHub starsINFO
  • Stars/forks activity187 stars, 31 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance13d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surfaceINFO