Issue Resolve
ffroliva/gflow-cli
A skill your agent uses when an assessed gflow-cli issue (verdict CONFIRMED-BUG or LIKELY-BUG) has localized, verifiable scope and should be driven to a fix.
Create, observe, and preserve one approved Runway text-to-video task using the current per-model contract.
Install Runway Hello World
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-hello-world --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/runway-hello-world .claude/skills/runway-hello-world && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "runway-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-hello-world into .claude/skills/runway-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-hello-world", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-hello-worldType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-hello-world --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/.curated/runway-hello-world .agents/skills/runway-hello-world && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "runway-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-hello-world into .agents/skills/runway-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-hello-world", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-hello-world --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/.curated/runway-hello-world .cursor/skills/runway-hello-world && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "runway-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-hello-world into .cursor/skills/runway-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-hello-world", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/jeremylongshore/tons-of-skills-marketplace.git --path skills/.curated/runway-hello-world--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-hello-world --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/.curated/runway-hello-world .gemini/skills/runway-hello-world && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "runway-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-hello-world into .gemini/skills/runway-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-hello-world", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-hello-worldInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/.curated/runway-hello-world .github/skills/runway-hello-world && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "runway-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-hello-world into .github/skills/runway-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-hello-world", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jeremylongshore/tons-of-skills-marketplace runway-hello-world --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/.curated/runway-hello-world .opencode/skills/runway-hello-world && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "runway-hello-world" agent skill from https://github.com/jeremylongshore/tons-of-skills-marketplace/tree/main/skills/.curated/runway-hello-world into .opencode/skills/runway-hello-world/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "runway-hello-world", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
runway-hello-world- GitHub stars
- 2.8k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 594 words
- Files
- 2 (incl. references)
- Skills in repo
- 3,342
- Repo updated
- First seen
- Licence
- MIT
At a glance
Create, observe, and preserve one approved Runway text-to-video task using the current per-model contract.
- Works in 6 steps: Read the current model schema → Freeze the billable intent → Create one task → …
- Proving the first billable generation path
- SKILL.md covers Overview, Prerequisites, Instructions and Authentication, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Runway Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Create, observe, and preserve one approved Runway text-to-video task using the current per-model contract. Use when proving the first billable generation path. Trigger with: "Runway hello world", "first Runway video", "smoke test Runway generation".
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage.
It sits in Testing & QA, covering QA and bug reports and AI video generation. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.
When your agent uses it
- Proving the first billable generation path
- With: Runway hello world
- First Runway video
- Smoke test Runway generation
Example prompts
- “Runway hello world”
- “first Runway video”
- “smoke test Runway generation”
- “/runway-hello-world”
Requirements
- Compatibility (from SKILL.md): Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage.
- Pre-approved tools (allowed-tools): Read, Grep, Write, Edit
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadGrepWriteEdit
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
docs.dev.runwayml.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage.
From compatibility in the SKILL.md frontmatter.
Context cost
Runway Hello World loads about 1.3k tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 594 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 594 words, ~1,336 tokens.
Download SKILL.mdSave it as
.claude/skills/runway-hello-world/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- runway-hello-world
- description
- Create, observe, and preserve one approved Runway text-to-video task using the current per-model contract. Use when proving the first billable generation path. Trigger with: "Runway hello world", "first Runway video", "smoke test Runway generation".
- allowed-tools
- Read, Grep, Write, Edit
- compatibility
- Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage.
- version
- 2.0.0
- argument-hint
- [prompt-and-model-policy]
- model
- inherit
- effort
- high
- license
- MIT
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- tags
- saas, runway, video-generation, smoke-test, tasks
One Controlled Runway Generation
Overview
Prove the minimum asynchronous generation path without pretending that task creation is completion. A Runway generation consumes credits and may be moderated, so the smoke test requires an explicit cost ceiling, safe prompt, terminal-state evidence, and owned output storage.
Prerequisites
- Server-side Runway authentication and available organization credits
- An operator-approved model, prompt, duration, ratio, and maximum credit budget
- Durable task storage and an output bucket with retention controls
Instructions
Step 1: Read the current model schema
Open the current models guide and the exact text_to_video model variant in the API reference. Confirm model identifier, required fields, prompt limit, ratio set, duration range, and price immediately before the test.
Step 2: Freeze the billable intent
Record a unique operation ID, normalized request fingerprint, model, duration, ratio, estimated ceiling, and approval. Use gen4.5 only when its current schema still matches the request; never revive retired gen3a_turbo.
Step 3: Create one task
Submit one server-side request. Persist the returned task ID before waiting. Treat the create response as acceptance into the task system, not a generated asset.
Step 4: Wait with a bound
Use the SDK wait helper or poll GET /v1/tasks/<task-id> no more frequently than every five seconds with jitter and backoff. Set a deadline. Remember that a client timeout does not cancel the provider task.
Step 5: Classify the terminal state
Accept output only from SUCCEEDED. For FAILED, retain redacted failureCode and diagnostic text; for CANCELLED, record who cancelled. Treat THROTTLED as queued, not failed.
Step 6: Own the output
Download successful output promptly, validate type and size, store it under the operation ID, and retain the source URL only as sensitive temporary evidence because Runway output URLs expire.
Authentication
Create and task-read requests use the server-side bearer secret and reviewed Runway API version. Never expose the key or temporary signed output URL to an untrusted browser, log stream, or ticket.
Tool Discipline
Use Read and Grep to inspect application configuration, provider documentation, lockfiles, fixtures, schemas, tests, and redacted operational evidence before proposing a change. Use Write or Edit only for an approved implementation, configuration, test, runbook, or redacted receipt. Do not create, cancel, delete, retry, deploy, rotate, revoke, publish, or otherwise mutate production Runway resources without explicit operator approval.
Show full SKILL.md (221 more words)Show less
Output
- Task ID, request fingerprint, approval, and observed state timeline
- Terminal-state classification with cost and moderation evidence
- Owned output object and checksum, or a redacted failure receipt
Return the environment, organization alias, operation and task identifiers, API and SDK versions, model or router policy, source-contract fingerprint, task-state evidence, credit boundary, output disposition, unresolved risk, rollback state, and final decision without exposing API secrets, prompt or media contents, or temporary signed URLs.
Examples
An operator approves one five-second gen4.5 test under a fixed credit ceiling. The worker persists the task ID, observes PENDING, RUNNING, and SUCCEEDED, copies the video into private storage, and records its checksum without publishing the temporary provider URL.
Error Handling
| Failure | Response |
|---|---|
Task stays THROTTLED | Keep the task queued, observe concurrency and daily limits, and do not submit duplicates. |
| Wait helper times out | Retrieve the saved task ID later or explicitly cancel it; timeout did not cancel the task. |
| Task fails moderation | Do not retry the same prompt; record the safety code without exposing unsafe content and review policy. |
Validation
Replay the workflow with a safe approved canary, prove task ID persistence before polling, exercise one mocked failure and timeout path, and confirm the stored output remains available after discarding the temporary URL.
Resources
© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/.curated/runway-hello-world of jeremylongshore/tons-of-skills-marketplace.
- SKILL.md
- references/official-docs.md
Open the folder on GitHubat commit cfae287
Compare with similar skills
Runway Hello World next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Runway Hello World this skilljeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Issue Resolveffroliva/gflow-cli | 278 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Reproduce Chat Statesdifferent-ai/openwork | 24k | — | ~673 | Automated safety check: Pass | Custom licence | |
| Dynamo Jira TicketDynamoDS/Dynamo | 2k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | |
| Moav E2EMotherofallVPNs/MoaV | 449 | — | ~1.9k | Automated safety check: Notes | MIT | |
| Creating A Coral TaskHuman-Agent-Society/CORAL | 1.1k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 |
Similar skills
Reproduce Chat States
different-ai/openwork
Fires known chat states in the running OpenWork desktop app, such as provider errors, retries and tool steps, so you can check how each renders.
Dynamo Jira Ticket
DynamoDS/Dynamo
Create structured Jira tickets for Dynamo from bug reports, failing tests, or feature requests.
Moav E2E
MotherofallVPNs/MoaV
Run and debug MoaV's end-to-end tests — real protocol connectivity (client-test.sh) and the moav CLI smoke test — against a LIVE server, via the self-hosted e2e workflow or a local test VPS.
Creating A Coral Task
Human-Agent-Society/CORAL
Author a new CORAL task — the three pieces that must line up (task.yaml, seed/, a packaged grader/), the coral init → coral validate → smoke-test loop, and how to pick a grader pattern (stdout…
Launch Rl
marin-community/marin
Define, validate, submit, or restart a Marin SkyRL experiment through its artifact main.
More from jeremylongshore/tons-of-skills-marketplace
All 3,342 skills in this repoPerforming Security Code Review
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.
Adapting Transfer Learning Models
jeremylongshore/tons-of-skills-marketplace
Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.
Agent Context Loader
jeremylongshore/tons-of-skills-marketplace
Execute proactive auto-loading: automatically detects and loads agents.md files.
Aggregating Performance Metrics
jeremylongshore/tons-of-skills-marketplace
Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.
Analyzing Capacity Planning
jeremylongshore/tons-of-skills-marketplace
Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.
Analyzing Database Indexes
jeremylongshore/tons-of-skills-marketplace
Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.
Related
Categories
Questions about Runway Hello World
What does Runway Hello World do?
Create, observe, and preserve one approved Runway text-to-video task using the current per-model contract. Runway Hello World is an agent skill from jeremylongshore/tons-of-skills-marketplace. Create, observe, and preserve one approved Runway text-to-video task using the current per-model contract.
When should I use Runway Hello World?
Runway Hello World fits situations like: proving the first billable generation path; with: Runway hello world; first Runway video; smoke test Runway generation.
How do I install Runway Hello World in Claude Code?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a claude-code`. Or copy the skill folder (skills/.curated/runway-hello-world in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/runway-hello-world in your project. Claude Code loads it when a task matches its description.
How do I install Runway Hello World in Codex?
Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a codex`. Or copy the skill folder (skills/.curated/runway-hello-world in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/runway-hello-world in your project. Codex loads it when a task matches its description.
Can I use Runway Hello World in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill runway-hello-world -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/runway-hello-world, .gemini/skills/runway-hello-world, .github/skills/runway-hello-world and .opencode/skills/runway-hello-world in your project.
What does Runway Hello World need to run?
SKILL.md names no scripts, command-line tools or credentials: Runway Hello World is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires server-side Runway Dev access, current first-party documentation, an approved credit budget, and controlled media storage..
Does Runway Hello World access the network?
SKILL.md names 1 domain. As links in the text: docs.dev.runwayml.com. This is read from the text; nothing was executed.
Is Runway Hello World safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Runway Hello World use?
Runway Hello World is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Runway Hello World use?
About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 952 tokens, read only when the agent opens those files.
What are the alternatives to Runway Hello World?
Skills that share tags, products or a category with Runway Hello World: Issue Resolve (ffroliva/gflow-cli, 278 stars), Reproduce Chat States (different-ai/openwork, 24k stars), Dynamo Jira Ticket (DynamoDS/Dynamo, 2k stars) and Moav E2E (MotherofallVPNs/MoaV, 449 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Runway Hello World?
jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.
Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.