Agent skill

Challenge Login

by AgibotTech in AgibotTech/genie_sim

A skill your agent uses when the contestant needs to obtain or refresh their Simulation Challenge JWT (CHALLENGETOKEN), or wants to inspect the current logged-in user.

Custom licenceAuto-check passedBackend & APIs

Install Challenge Login

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

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

GitHub CLI
$ gh skill install AgibotTech/genie_sim challenge-login --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-login .claude/skills/challenge-login && 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-login
GitHub stars
1.4k
Token cost
~1.6k tokens
SKILL.md length
571 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 needs to obtain or refresh their Simulation Challenge JWT (CHALLENGETOKEN), or wants to inspect the current logged-in user.

  • Works in 3 steps: Login (read-only on the platform; safe… → Inspect the current user (recommended… → Refresh an expired token
  • The contestant needs to obtain
  • SKILL.md covers Inputs, Step 1 — Login (read-only on…, Step 2 — Inspect the current… and Step 3 — Refresh an expired…, plus 3 more sections
  • Calls jq and curl; reaches robocoliseum.ai; needs CHALLENGE_TOKEN and JOB_TOKEN

What it does

Challenge Login is an agent skill from AgibotTech/genie_sim. Use when the contestant needs to obtain or refresh their Simulation Challenge JWT (CHALLENGETOKEN), or wants to inspect the current logged-in user. Trigger words include "log in", "token", "401", "current user", "name", "refresh".

Its SKILL.md is about 1.6k 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 Backend & APIs, covering Authentication. The repository describes itself as: Simulation Platform from AgiBot.

When your agent uses it

  • The contestant needs to obtain
  • Refresh their Simulation Challenge JWT (CHALLENGETOKEN)
  • Wants to inspect the current logged-in user
  • Words include log in

Example prompts

  • “log in”
  • “current user”
  • “refresh”
  • “/challenge-login”

Requirements

  • A credential in CHALLENGE_TOKEN
  • A credential in JOB_TOKEN

Workflow steps

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

  1. Login (read-only on the platform; safe to run)
  2. Inspect the current user (recommended after login)
  3. Refresh an expired token

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 Login loads about 1.6k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 571 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.6k

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 571 words (~1,629 tokens).

“The challenge API is gated by a JWT delivered as Authorization: Bearer . Almost everything else fails with 401 until this is set.”

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

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit 6ca11c7

Compare with similar skills

Challenge Login 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 Login compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Challenge Login this skillAgibotTech/genie_sim1.4k—~1.6kAutomated safety check: PassCustom licence
Fortify Developmentcoollabsio/coolify63k4 repos~1.9kAutomated safety check: PassMIT
Supabase Development and Debuggingsupabase/agent-skills2.7k3 repos~3.6kAutomated safety check: PassMIT
Better Auth Best Practiceslatitude-dev/latitude-llm4.7k7 repos~1.6kAutomated safety check: PassMIT
Supabasecurvenote/curvenote1695 repos~2.2kAutomated safety check: PassCustom licence
Gitnexus Exploringaws-samples/sample-kolya-br-proxy10611 repos~749Automated safety check: PassMIT-0

Similar skills

  • Fortify Development

    coollabsio/coolify

    ACTIVATE when the user works on authentication in Laravel. An agent skill from coollabsio/coolify.

    63k GitHub starsUsed in 4 repos~1.9k tokens
    Backend & APIsAuto-check passed
  • Official

    General Supabase skill for database, auth, Edge Functions, Realtime and storage work, plus client libraries, migrations, security audits, debugging and reading logs.

    2.7k GitHub starsUsed in 3 repos~3.6k tokens
    Backend & APIsAuto-check passed
  • Better Auth Best Practices

    latitude-dev/latitude-llm

    Configure Better Auth server and client, set up database adapters, manage sessions, add plugins, and handle environment variables.

    4.7k GitHub starsUsed in 7 repos~1.6k tokens
    Backend & APIsAuto-check passed
  • Supabase

    curvenote/curvenote

    A skill your agent uses when doing ANY task involving Supabase.

    169 GitHub starsUsed in 5 repos~2.2k tokens
    Backend & APIsAuto-check passed
  • Gitnexus Exploring

    aws-samples/sample-kolya-br-proxy

    Official

    A skill your agent uses when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase.

    106 GitHub starsUsed in 11 repos~749 tokens
    Backend & APIsAuto-check passed
  • Agentic Wallet

    coinbase/agentic-wallet-skills

    Crypto wallet operations via the awal CLI — sign in, check balances, send USDC/ETH/POL/SOL, trade tokens, fund the wallet, and use the x402 payment protocol to discover paid services, pay for API…

    127 GitHub starsUsed in 3 repos~1k tokens
    Backend & APIsAuto-check passed

More from AgibotTech/genie_sim

All 26 skills in this repo
  • Challenge Baseline Model

    AgibotTech/genie_sim

    Provision and launch the Simulation Challenge baseline inference model end to end: clone the inference code from a given git repo/branch, download the checkpoints from ModelScope into the repo's…

    1.4k GitHub stars~2.4k tokensUpdated 1 mo ago
    Auto-check passed
  • Challenge Download Datasets

    AgibotTech/genie_sim

    Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/downloaddataset.sh.

    1.4k GitHub stars~960 tokensUpdated 1 mo ago
    Auto-check passed
  • Add Robot

    AgibotTech/genie_sim

    Bring a custom robot into the Genie Sim RT Engine — author / fix a xacro / URDF in geniesimrobotmodel, prep meshes with the offline tools (normalizeobjnames.py, diagnoseurdf.py, recomputeinertia.py…

    1.4k GitHub stars~2.1k tokensUpdated 1 mo ago
    Auto-check passed
  • Build Workspace

    AgibotTech/genie_sim

    Build the geniesimros colcon workspace inside the Genie Sim Docker container using the geniesim ros build CLI verb.

    1.4k GitHub stars~1.2k tokensUpdated 1 mo ago
    Auto-check passed
  • Challenge Inference Protocol

    AgibotTech/genie_sim

    Reference for the Simulation Challenge inference wire protocol — the exact obs (input) and action (output) message format exchanged between the gateway/genie-sim simulator and the contestant's…

    1.4k GitHub stars~1.7k tokensUpdated 1 mo ago
    Auto-check passed
  • Challenge Poll Result

    AgibotTech/genie_sim

    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.

    1.4k GitHub stars~2.9k tokensUpdated 1 mo ago
    Auto-check passed

Categories

Questions about Challenge Login

What does Challenge Login do?

A skill your agent uses when the contestant needs to obtain or refresh their Simulation Challenge JWT (CHALLENGETOKEN), or wants to inspect the current logged-in user. Challenge Login is an agent skill from AgibotTech/genie_sim. Use when the contestant needs to obtain or refresh their Simulation Challenge JWT (CHALLENGETOKEN), or wants to inspect the current logged-in user.

When should I use Challenge Login?

Challenge Login fits situations like: the contestant needs to obtain; refresh their Simulation Challenge JWT (CHALLENGETOKEN); wants to inspect the current logged-in user; words include log in.

How do I install Challenge Login in Claude Code?

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

How do I install Challenge Login in Codex?

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

Can I use Challenge Login 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-login -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-login, .gemini/skills/challenge-login, .github/skills/challenge-login and .opencode/skills/challenge-login in your project.

What does Challenge Login need to run?

Going by SKILL.md and its folder, Challenge Login 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 Login 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 Login 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 Login use?

Challenge Login 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 Login use?

About 1.6k tokens (SKILL.md is roughly 6.5k 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 Login?

Skills that share tags, products or a category with Challenge Login: Fortify Development (coollabsio/coolify, 63k stars), Supabase Development and Debugging (supabase/agent-skills, 2.7k stars), Better Auth Best Practices (latitude-dev/latitude-llm, 4.7k stars) and Supabase (curvenote/curvenote, 169 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Challenge Login?

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.