Configuring Horizon
coollabsio/coolify
A skill your agent uses whenever the user mentions Horizon by name in a Laravel context.
A skill your agent uses when something in the Simulation Challenge pipeline is misbehaving — auth errors, agent disconnects, jobs stuck in Pending, jobs ending in Failed, drain frames.
Install Challenge Troubleshoot
The automated check flagged lines worth reading first. See the safety section below.
$ npx skills add AgibotTech/genie_sim --skill challenge-troubleshoot -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgibotTech/genie_sim challenge-troubleshoot --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-troubleshoot .claude/skills/challenge-troubleshoot && 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-troubleshoot" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-troubleshoot into .claude/skills/challenge-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-troubleshoot", 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-troubleshootType 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-troubleshoot -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgibotTech/genie_sim challenge-troubleshoot --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-troubleshoot .agents/skills/challenge-troubleshoot && 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-troubleshoot" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-troubleshoot into .agents/skills/challenge-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-troubleshoot", 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-troubleshoot -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgibotTech/genie_sim challenge-troubleshoot --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-troubleshoot .cursor/skills/challenge-troubleshoot && 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-troubleshoot" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-troubleshoot into .cursor/skills/challenge-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-troubleshoot", 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-troubleshoot--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-troubleshoot -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgibotTech/genie_sim challenge-troubleshoot --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-troubleshoot .gemini/skills/challenge-troubleshoot && 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-troubleshoot" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-troubleshoot into .gemini/skills/challenge-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-troubleshoot", 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-troubleshootInstalls 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-troubleshoot -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-troubleshoot .github/skills/challenge-troubleshoot && 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-troubleshoot" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-troubleshoot into .github/skills/challenge-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-troubleshoot", 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-troubleshoot -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-troubleshoot --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-troubleshoot .opencode/skills/challenge-troubleshoot && 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-troubleshoot" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-troubleshoot into .opencode/skills/challenge-troubleshoot/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-troubleshoot", 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-troubleshoot- GitHub stars
- 1.4k
- Token cost
- ~2.9k tokens
- SKILL.md length
- 1,487 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses when something in the Simulation Challenge pipeline is misbehaving — auth errors, agent disconnects, jobs stuck in Pending, jobs ending in Failed, drain frames.
- Works in 3 steps: Reproduce / verify the symptom with a… → Match the symptom to the table below. → Hand the user the next command from the…
- Something in the Simulation Challenge pipeline is misbehaving — auth errors
- SKILL.md covers Diagnostic heuristic: 4xx is…, Diagnostic heuristic: 5xx is…, Symptom table and Diagnostics shortlist, plus 2 more sections
- Calls curl and jq; reaches robocoliseum.ai; needs CHALLENGE_TOKEN and JOB_TOKEN
What it does
Challenge Troubleshoot is an agent skill from AgibotTech/genie_sim. Use when something in the Simulation Challenge pipeline is misbehaving — auth errors, agent disconnects, jobs stuck in Pending, jobs ending in Failed, drain frames. Maps a symptom to its likely cause and the next command to run.
Its SKILL.md is about 2.9k 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. The repository describes itself as: Simulation Platform from AgiBot.
When your agent uses it
- Something in the Simulation Challenge pipeline is misbehaving — auth errors
- Agent disconnects
- Jobs stuck in Pending
- Jobs ending in Failed
Example prompts
- “/challenge-troubleshoot”
Requirements
- A credential in CHALLENGE_TOKEN
- A credential in JOB_TOKEN
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Reproduce / verify the symptom with a read-only call (/jobs, /result, /log, /current-user-info) before doing anything destructive. For…
- Match the symptom to the table below.
- Hand the user the next command from the Action column. Do NOT auto-resubmit jobs (quota cost) or auto-kill agents (loses in-flight cases)…
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:
curljq
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
robocoliseum.ai
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 Troubleshoot loads about 2.9k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 1,487 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.
- WarningLinks to a raw public IP addressSKILL.md:55
ready | Fall back to the fixed default `ws://120.92.88.78/api/challenge/tunnel`; the endpoint may simply be omitted beca - WarningLinks to a raw public IP addressSKILL.md:95
ps://robocoliseum.ai`, `TUNNEL_ENDPOINT=ws://120.92.88.78/api/challenge/tunnel`. **Do not** "fix" the tunnel URL by swap
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 1,487 words (~2,938 tokens).
“When the user reports a problem, do this in order:”
- name
- challenge-troubleshoot
Files
Just SKILL.md in source/geniesim_benchmark/skills/robocoliseum/challenge-troubleshoot of AgibotTech/genie_sim.
Open the folder on GitHubat commit 6ca11c7
Compare with similar skills
Challenge Troubleshoot 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 Troubleshoot this skillAgibotTech/genie_sim | 1.4k | — | ~2.9k | Automated safety check: Warn | Custom licence | |
| Configuring Horizoncoollabsio/coolify | 63k | 4 repos | ~898 | Automated safety check: Pass | MIT | |
| Nestjs Best Practicesrolling-scopes/rsschool-app | 10k | 6 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Sub2API AdminWei-Shaw/sub2api | 43k | 1 repos | ~717 | Automated safety check: Pass | LGPL-3.0 | |
| Firecrawl Build Onboardingfirecrawl/firecrawl | 190k | 1 repos | ~1.4k | Automated safety check: Notes | ISC | |
| Obsidian BasesAtmosphere/atmosphere | 3.8k | 22 repos | ~3.2k | Automated safety check: Pass | Apache-2.0 |
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NestJS best practices and architecture patterns for building production-ready applications.
Sub2API Admin
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Manages a Sub2API deployment from the command line: accounts, redeem and invitation codes, groups, proxies, imports, exports and raw admin API calls.
Firecrawl Build Onboarding
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Gets Firecrawl working in a project: signs you in through the browser, saves FIRECRAWL_API_KEY to .env and picks the first SDK or REST path.
Obsidian Bases
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Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries.
Fortify Development
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ACTIVATE when the user works on authentication in Laravel. An agent skill from coollabsio/coolify.
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Related
Categories
Questions about Challenge Troubleshoot
What does Challenge Troubleshoot do?
A skill your agent uses when something in the Simulation Challenge pipeline is misbehaving — auth errors, agent disconnects, jobs stuck in Pending, jobs ending in Failed, drain frames. Challenge Troubleshoot is an agent skill from AgibotTech/genie_sim. Use when something in the Simulation Challenge pipeline is misbehaving — auth errors, agent disconnects, jobs stuck in Pending, jobs ending in Failed, drain frames.
When should I use Challenge Troubleshoot?
Challenge Troubleshoot fits situations like: something in the Simulation Challenge pipeline is misbehaving — auth errors; agent disconnects; jobs stuck in Pending; jobs ending in Failed.
How do I install Challenge Troubleshoot in Claude Code?
Run `npx skills add AgibotTech/genie_sim --skill challenge-troubleshoot -a claude-code`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-troubleshoot in AgibotTech/genie_sim) into .claude/skills/challenge-troubleshoot in your project. Claude Code loads it when a task matches its description.
How do I install Challenge Troubleshoot in Codex?
Run `npx skills add AgibotTech/genie_sim --skill challenge-troubleshoot -a codex`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-troubleshoot in AgibotTech/genie_sim) into .agents/skills/challenge-troubleshoot in your project. Codex loads it when a task matches its description.
Can I use Challenge Troubleshoot 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-troubleshoot -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-troubleshoot, .gemini/skills/challenge-troubleshoot, .github/skills/challenge-troubleshoot and .opencode/skills/challenge-troubleshoot in your project.
What does Challenge Troubleshoot need to run?
Going by SKILL.md and its folder, Challenge Troubleshoot needs the command-line tools its instructions call (curl and jq) and credentials named CHALLENGE_TOKEN and JOB_TOKEN. Our summary lists: A credential in CHALLENGE_TOKEN; A credential in JOB_TOKEN.
Does Challenge Troubleshoot access the network?
SKILL.md names 1 domain. In commands or code: robocoliseum.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Challenge Troubleshoot safe to install?
Our automated static check of SKILL.md flagged 2 warning(s): 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 Troubleshoot use?
Challenge Troubleshoot 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 Troubleshoot use?
About 2.9k tokens (SKILL.md is roughly 12k 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 Troubleshoot?
Skills that share tags, products or a category with Challenge Troubleshoot: Configuring Horizon (coollabsio/coolify, 63k stars), Nestjs Best Practices (rolling-scopes/rsschool-app, 10k stars), Sub2API Admin (Wei-Shaw/sub2api, 43k stars) and Firecrawl Build Onboarding (firecrawl/firecrawl, 190k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Challenge Troubleshoot?
AgibotTech (a GitHub organization) maintains it in AgibotTech/genie_sim, which has 1,414 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.