Supabase Development and Debugging
supabase/agent-skills
General Supabase skill for database, auth, Edge Functions, Realtime and storage work, plus client libraries, migrations, security audits, debugging and reading logs.
A skill your agent uses when the contestant wants to launch the inference Agent that connects to the Simulation gateway via WebSocket.
Install Challenge Run Agent
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add AgibotTech/genie_sim --skill challenge-run-agent -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgibotTech/genie_sim challenge-run-agent --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/AgibotTech/genie_sim.git skills-src && mkdir -p .claude/skills && cp -r skills-src/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent .claude/skills/challenge-run-agent && 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 "challenge-run-agent" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent into .claude/skills/challenge-run-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-run-agent", 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/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agentType 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 AgibotTech/genie_sim --skill challenge-run-agent -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgibotTech/genie_sim challenge-run-agent --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .agents/skills && cp -r skills-src/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent .agents/skills/challenge-run-agent && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "challenge-run-agent" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent into .agents/skills/challenge-run-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-run-agent", 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 AgibotTech/genie_sim --skill challenge-run-agent -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgibotTech/genie_sim challenge-run-agent --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent .cursor/skills/challenge-run-agent && 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 "challenge-run-agent" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent into .cursor/skills/challenge-run-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-run-agent", 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/AgibotTech/genie_sim.git --path source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent--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 AgibotTech/genie_sim --skill challenge-run-agent -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgibotTech/genie_sim challenge-run-agent --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent .gemini/skills/challenge-run-agent && 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 "challenge-run-agent" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent into .gemini/skills/challenge-run-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-run-agent", 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 AgibotTech/genie_sim challenge-run-agentInstalls 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 AgibotTech/genie_sim --skill challenge-run-agent -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .github/skills && cp -r skills-src/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent .github/skills/challenge-run-agent && 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 "challenge-run-agent" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent into .github/skills/challenge-run-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-run-agent", 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 AgibotTech/genie_sim --skill challenge-run-agent -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgibotTech/genie_sim challenge-run-agent --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgibotTech/genie_sim.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent .opencode/skills/challenge-run-agent && 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 "challenge-run-agent" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent into .opencode/skills/challenge-run-agent/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-run-agent", 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
challenge-run-agent- GitHub stars
- 1.4k
- Token cost
- ~4.3k tokens
- SKILL.md length
- 1,920 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when the contestant wants to launch the inference Agent that connects to the Simulation gateway via WebSocket.
- Works in 3 steps: Confirm the launch plan with the user → Launch a single agent (sanity check) → Scale to PARALLELISM processes
- The contestant wants to launch the inference Agent that connects to the Simulation gateway via WebSocket
- SKILL.md covers Which client to run, Preconditions, Concurrency rules (read these… and Step 1 — Confirm the launch…, plus 6 more sections
- Calls pip; needs CHALLENGE_TOKEN and JOB_TOKEN
What it does
Challenge Run Agent is an agent skill from AgibotTech/genie_sim. Use when the contestant wants to launch the inference Agent that connects to the Simulation gateway via WebSocket. Wraps the inference repo's ./scripts/tunnel.sh and scales to PARALLELISM processes. This is side-effecting (consumes GPUs and a parallelism slot) — confirm before launching.
Its SKILL.md is about 4.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Backend & APIs, covering Realtime and WebSockets. The repository describes itself as: Simulation Platform from AgiBot.
When your agent uses it
- The contestant wants to launch the inference Agent that connects to the Simulation gateway via WebSocket
- Tasks that involve Realtime and WebSockets
Example prompts
- “/challenge-run-agent”
Requirements
- Python 3
- A credential in JOB_TOKEN
- A credential in CHALLENGE_TOKEN
Workflow steps
3 steps, taken from the step headings in SKILL.md.
- Confirm the launch plan with the user
- Launch a single agent (sanity check)
- Scale to PARALLELISM processes
What it can do on your machine
Read from SKILL.md and the folder at commit 6ca11c7. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pip
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
CHALLENGE_TOKENJOB_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Challenge Run Agent loads about 4.3k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 1,920 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: warnings
The automated check found patterns that need a careful read before installing.
- WarningContains instruction-override wording (e.g. “without asking the user”)SKILL.md:16
ial published Simulation SDK package.** Do not tell the user to `pip install` - WarningLinks to a raw public IP addressSKILL.md:40
ob` (job response), else fixed default `ws://120.92.88.78/api/challenge/tunnel` | - WarningLinks to a raw public IP addressSKILL.md:92
` | Full WS URL. Defaults to the fixed `ws://120.92.88.78/api/challenge/tunnel`; prefer the job response's `tunnel_endpo
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,920 words (~4,277 tokens).
“The Agent is the contestant's long-running process that:”
- name
- challenge-run-agent
Files
Just SKILL.md in source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent of AgibotTech/genie_sim.
Open the folder on GitHubat commit 6ca11c7
Compare with similar skills
Challenge Run Agent 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 |
|---|---|---|---|---|---|---|
| Challenge Run Agent this skillAgibotTech/genie_sim | 1.4k | — | ~4.3k | Automated safety check: Warn | Custom licence | |
| Supabase Development and Debuggingsupabase/agent-skills | 2.7k | 3 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Use Yaakmountain-loop/yaak | 19k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Gemini Live API Devgoogle-gemini/gemini-skills | 4.3k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Web3 PolymarketPolymarket/agent-skills | 191 | 2 repos | ~2k | Automated safety check: Pass | None | |
| GraphQL ArchitectJeffallan/claude-skills | 12k | 1 repos | ~1.3k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Challenge Run Agent
What does Challenge Run Agent do?
A skill your agent uses when the contestant wants to launch the inference Agent that connects to the Simulation gateway via WebSocket. Challenge Run Agent is an agent skill from AgibotTech/genie_sim. Use when the contestant wants to launch the inference Agent that connects to the Simulation gateway via WebSocket.
When should I use Challenge Run Agent?
Challenge Run Agent fits situations like: the contestant wants to launch the inference Agent that connects to the Simulation gateway via WebSocket; tasks that involve Realtime and WebSockets.
How do I install Challenge Run Agent in Claude Code?
Run `npx skills add AgibotTech/genie_sim --skill challenge-run-agent -a claude-code`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent in AgibotTech/genie_sim) into .claude/skills/challenge-run-agent in your project. Claude Code loads it when a task matches its description.
How do I install Challenge Run Agent in Codex?
Run `npx skills add AgibotTech/genie_sim --skill challenge-run-agent -a codex`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-run-agent in AgibotTech/genie_sim) into .agents/skills/challenge-run-agent in your project. Codex loads it when a task matches its description.
Can I use Challenge Run Agent 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 AgibotTech/genie_sim --skill challenge-run-agent -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/challenge-run-agent, .gemini/skills/challenge-run-agent, .github/skills/challenge-run-agent and .opencode/skills/challenge-run-agent in your project.
What does Challenge Run Agent need to run?
Going by SKILL.md and its folder, Challenge Run Agent needs the command-line tools its instructions call (pip) and credentials named CHALLENGE_TOKEN and JOB_TOKEN. Our summary lists: Python 3; A credential in JOB_TOKEN; A credential in CHALLENGE_TOKEN.
Does Challenge Run Agent access the network?
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Challenge Run Agent safe to install?
Our automated static check of SKILL.md flagged 3 warning(s): contains instruction-override wording (e.g. “without asking the user”); links to a raw public ip address. Read the flagged lines before installing; the check is not a guarantee either way.
What licence does Challenge Run Agent use?
Challenge Run Agent has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Challenge Run Agent use?
About 4.3k tokens (SKILL.md is roughly 17k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Challenge Run Agent?
Skills that share tags, products or a category with Challenge Run Agent: Supabase Development and Debugging (supabase/agent-skills, 2.7k stars), Use Yaak (mountain-loop/yaak, 19k stars), Gemini Live API Dev (google-gemini/gemini-skills, 4.3k stars) and Web3 Polymarket (Polymarket/agent-skills, 191 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Challenge Run Agent?
AgibotTech (a GitHub organization) maintains it in AgibotTech/genie_sim, which has 1,413 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on September 7, 2026.
Source: AgibotTech/genie_sim on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.