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 to track a Simulation Challenge job's progress — list jobs, watch a job's status until terminal, fetch its per-task scores, or pull execution logs when it failed.
Install Challenge Poll Result
$ npx skills add AgibotTech/genie_sim --skill challenge-poll-result -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgibotTech/genie_sim challenge-poll-result --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-poll-result .claude/skills/challenge-poll-result && 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-poll-result" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-poll-result into .claude/skills/challenge-poll-result/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-poll-result", 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-poll-resultType 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-poll-result -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgibotTech/genie_sim challenge-poll-result --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-poll-result .agents/skills/challenge-poll-result && 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-poll-result" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-poll-result into .agents/skills/challenge-poll-result/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-poll-result", 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-poll-result -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgibotTech/genie_sim challenge-poll-result --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-poll-result .cursor/skills/challenge-poll-result && 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-poll-result" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-poll-result into .cursor/skills/challenge-poll-result/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-poll-result", 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-poll-result--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-poll-result -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgibotTech/genie_sim challenge-poll-result --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-poll-result .gemini/skills/challenge-poll-result && 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-poll-result" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-poll-result into .gemini/skills/challenge-poll-result/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-poll-result", 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-poll-resultInstalls 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-poll-result -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-poll-result .github/skills/challenge-poll-result && 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-poll-result" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-poll-result into .github/skills/challenge-poll-result/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-poll-result", 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-poll-result -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-poll-result --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-poll-result .opencode/skills/challenge-poll-result && 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-poll-result" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-poll-result into .opencode/skills/challenge-poll-result/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-poll-result", 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-poll-result- GitHub stars
- 1.4k
- Token cost
- ~2.9k tokens
- SKILL.md length
- 1,222 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses to track a Simulation Challenge job's progress — list jobs, watch a job's status until terminal, fetch its per-task scores, or pull execution logs when it failed.
- Works in 3 steps: failure_reason and status (always… → The last Traceback (most recent call… → The last ~20 lines around it for context.
- Track a Simulation Challenge jobs progress — list jobs
- SKILL.md covers Preconditions, Two job identifiers — do not…, Where status actually lives and Polling loop, plus 4 more sections
- Calls jq and curl; needs CHALLENGE_TOKEN
What it does
Challenge Poll Result is an agent skill from AgibotTech/genie_sim. Use to track a Simulation Challenge job's progress — list jobs, watch a job's status until terminal, fetch its per-task scores, or pull execution logs when it failed. Read-only; safe to run without confirmation.
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
- Track a Simulation Challenge jobs progress — list jobs
- Watch a jobs status until terminal
- Fetch its per-task scores
- Pull execution logs when it failed
Example prompts
- “s progress — list jobs, watch a job”
- “/challenge-poll-result”
Requirements
- A credential in CHALLENGE_TOKEN
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- failure_reason and status (always include).
- The last Traceback (most recent call last): block, if present, in full — that's the actual failure.
- The last ~20 lines around it for context.
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:
jqcurl
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, 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_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Challenge Poll Result loads about 2.9k tokens when it runs. Until then it costs about 58 tokens; SKILL.md has 1,222 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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,222 words (~2,916 tokens).
“All endpoints here are read-only — run them directly and report findings to the user.”
- name
- challenge-poll-result
Files
Just SKILL.md in source/geniesim_benchmark/skills/robocoliseum/challenge-poll-result of AgibotTech/genie_sim.
Open the folder on GitHubat commit 6ca11c7
Compare with similar skills
Challenge Poll Result 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 Poll Result this skillAgibotTech/genie_sim | 1.4k | — | ~2.9k | Automated safety check: Pass | 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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Related
Categories
Questions about Challenge Poll Result
What does Challenge Poll Result do?
A skill your agent uses to track a Simulation Challenge job's progress — list jobs, watch a job's status until terminal, fetch its per-task scores, or pull execution logs when it failed. Challenge Poll Result is an agent skill from AgibotTech/genie_sim. Use to track a Simulation Challenge job's progress — list jobs, watch a job's status until terminal, fetch its per-task scores, or pull execution logs when it failed.
When should I use Challenge Poll Result?
Challenge Poll Result fits situations like: track a Simulation Challenge jobs progress — list jobs; watch a jobs status until terminal; fetch its per-task scores; pull execution logs when it failed.
How do I install Challenge Poll Result in Claude Code?
Run `npx skills add AgibotTech/genie_sim --skill challenge-poll-result -a claude-code`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-poll-result in AgibotTech/genie_sim) into .claude/skills/challenge-poll-result in your project. Claude Code loads it when a task matches its description.
How do I install Challenge Poll Result in Codex?
Run `npx skills add AgibotTech/genie_sim --skill challenge-poll-result -a codex`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-poll-result in AgibotTech/genie_sim) into .agents/skills/challenge-poll-result in your project. Codex loads it when a task matches its description.
Can I use Challenge Poll Result 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-poll-result -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-poll-result, .gemini/skills/challenge-poll-result, .github/skills/challenge-poll-result and .opencode/skills/challenge-poll-result in your project.
What does Challenge Poll Result need to run?
Going by SKILL.md and its folder, Challenge Poll Result needs the command-line tools its instructions call (jq and curl) and credentials named CHALLENGE_TOKEN. Our summary lists: A credential in CHALLENGE_TOKEN.
Does Challenge Poll Result access the network?
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Challenge Poll Result 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 Challenge Poll Result use?
Challenge Poll Result 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 Poll Result 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 Poll Result?
Skills that share tags, products or a category with Challenge Poll Result: 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 Poll Result?
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.