Agent skill

Challenge Submit Job

by AgibotTech in AgibotTech/genie_sim

A skill your agent uses when the contestant wants to submit a model evaluation job to the Simulation Challenge — POST /api/challenge/job.

Custom licenceAuto-check passedData & Analytics

Install Challenge Submit Job

skills CLI
$ npx skills add AgibotTech/genie_sim --skill challenge-submit-job -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AgibotTech/genie_sim challenge-submit-job --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-submit-job .claude/skills/challenge-submit-job && rm -rf skills-src

Use ~/.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/

Facts

Skill name
challenge-submit-job
GitHub stars
1.4k
Token cost
~2.6k tokens
SKILL.md length
1,191 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 submit a model evaluation job to the Simulation Challenge — POST /api/challenge/job.

  • Works in 5 steps: Probe the daily quota (mandatory) → Build the request body → Confirm, then POST → …
  • The contestant wants to submit a model evaluation job to the Simulation Challenge — POST /api/challenge/job
  • SKILL.md covers Preconditions, Step 1 — Probe the daily quota…, Step 2 — Build the request body and Step 3 — Confirm, then POST, plus 3 more sections
  • Calls jq and curl; reaches robocoliseum.ai; needs CHALLENGE_TOKEN and JOB_TOKEN

What it does

Challenge Submit Job is an agent skill from AgibotTech/genie_sim. Use when the contestant wants to submit a model evaluation job to the Simulation Challenge — POST /api/challenge/job. This is a quota-consuming, side-effecting action; always confirm with the user first. Captures JOBUUID, PARALLELISM, TUNNELENDPOINT for the rest of the pipeline.

Its SKILL.md is about 2.6k 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 Data & Analytics, covering Machine learning. The repository describes itself as: Simulation Platform from AgiBot.

When your agent uses it

  • The contestant wants to submit a model evaluation job to the Simulation Challenge — POST /api/challenge/job
  • Tasks that involve Machine learning

Example prompts

  • “/challenge-submit-job”

Requirements

  • A credential in CHALLENGE_TOKEN
  • A credential in JOB_TOKEN

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Probe the daily quota (mandatory)
  2. Build the request body
  3. Confirm, then POST
  4. Capture the response
  5. Hand off

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:

    • jq
    • curl

    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_TOKEN
    • JOB_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Challenge Submit Job loads about 2.6k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 1,191 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~2.6k

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 1,191 words (~2,604 tokens).

“Submitting a job (a) consumes one of the user's daily submission slots (test accounts are exempt) and (b) immediately starts incurring scheduling work on the platform. Treat this as side-effecting: always confirm before running the POST.”

— opening of SKILL.md by AgibotTech, Custom licence
name
challenge-submit-job

Read the full SKILL.md on GitHub

Files

Just SKILL.md in source/geniesim_benchmark/skills/robocoliseum/challenge-submit-job of AgibotTech/genie_sim.

Open the folder on GitHubat commit 6ca11c7

Compare with similar skills

Challenge Submit Job 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.

Challenge Submit Job compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Challenge Submit Job this skillAgibotTech/genie_sim1.4k—~2.6kAutomated safety check: PassCustom licence
Scikit LearnzLanqing/codex-claude-academic-skills4.6k17 repos~3.9kAutomated safety check: PassBSD-3-Clause
Senior Data ScientistRaidriar7170/hermes-skilleval1256 repos~1.4kAutomated safety check: PassMIT
Agentic Kaggle WorkflowFrankS-IntelLab/agentic-kaggle-skill188—~4kAutomated safety check: PassMIT
Retention Analysisliangdabiao/claude-data-analysis-ultra-main2901 repos~1.3kAutomated safety check: NotesNone
Geomlitalo-goncalves/geoML109—~4.2kAutomated safety check: PassGPL-3.0

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  • Challenge Login

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Questions about Challenge Submit Job

What does Challenge Submit Job do?

A skill your agent uses when the contestant wants to submit a model evaluation job to the Simulation Challenge — POST /api/challenge/job. Challenge Submit Job is an agent skill from AgibotTech/genie_sim. Use when the contestant wants to submit a model evaluation job to the Simulation Challenge — POST /api/challenge/job.

When should I use Challenge Submit Job?

Challenge Submit Job fits situations like: the contestant wants to submit a model evaluation job to the Simulation Challenge — POST /api/challenge/job; tasks that involve Machine learning.

How do I install Challenge Submit Job in Claude Code?

Run `npx skills add AgibotTech/genie_sim --skill challenge-submit-job -a claude-code`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-submit-job in AgibotTech/genie_sim) into .claude/skills/challenge-submit-job in your project. Claude Code loads it when a task matches its description.

How do I install Challenge Submit Job in Codex?

Run `npx skills add AgibotTech/genie_sim --skill challenge-submit-job -a codex`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-submit-job in AgibotTech/genie_sim) into .agents/skills/challenge-submit-job in your project. Codex loads it when a task matches its description.

Can I use Challenge Submit Job 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-submit-job -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-submit-job, .gemini/skills/challenge-submit-job, .github/skills/challenge-submit-job and .opencode/skills/challenge-submit-job in your project.

What does Challenge Submit Job need to run?

Going by SKILL.md and its folder, Challenge Submit Job needs the command-line tools its instructions call (jq and curl) and credentials named CHALLENGE_TOKEN and JOB_TOKEN. Our summary lists: A credential in CHALLENGE_TOKEN; A credential in JOB_TOKEN.

Does Challenge Submit Job 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 Submit Job 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 Submit Job use?

Challenge Submit Job 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 Submit Job use?

About 2.6k tokens (SKILL.md is roughly 10k 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 Submit Job?

Skills that share tags, products or a category with Challenge Submit Job: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.6k stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars), Agentic Kaggle Workflow (FrankS-IntelLab/agentic-kaggle-skill, 188 stars) and Retention Analysis (liangdabiao/claude-data-analysis-ultra-main, 290 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Challenge Submit Job?

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.