Fortify Development
coollabsio/coolify
ACTIVATE when the user works on authentication in Laravel. An agent skill from coollabsio/coolify.
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.
$ npx skills add AgibotTech/genie_sim --skill challenge-login -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgibotTech/genie_sim challenge-login --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-login .claude/skills/challenge-login && 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-login" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-login into .claude/skills/challenge-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-login", 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-loginType 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-login -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgibotTech/genie_sim challenge-login --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-login .agents/skills/challenge-login && 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-login" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-login into .agents/skills/challenge-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-login", 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-login -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgibotTech/genie_sim challenge-login --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-login .cursor/skills/challenge-login && 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-login" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-login into .cursor/skills/challenge-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-login", 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-login--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-login -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgibotTech/genie_sim challenge-login --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-login .gemini/skills/challenge-login && 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-login" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-login into .gemini/skills/challenge-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-login", 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-loginInstalls 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-login -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-login .github/skills/challenge-login && 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-login" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-login into .github/skills/challenge-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-login", 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-login -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-login --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-login .opencode/skills/challenge-login && 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-login" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-login into .opencode/skills/challenge-login/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-login", 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.
challenge-loginA 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. 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.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 6ca11c7. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
jqcurlFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
robocoliseum.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
CHALLENGE_TOKENJOB_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.”
Just SKILL.md in source/geniesim_benchmark/skills/robocoliseum/challenge-login of AgibotTech/genie_sim.
Open the folder on GitHubat commit 6ca11c7
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Challenge Login this skillAgibotTech/genie_sim | 1.4k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Fortify Developmentcoollabsio/coolify | 63k | 4 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Supabase Development and Debuggingsupabase/agent-skills | 2.7k | 3 repos | ~3.6k | Automated safety check: Pass | MIT | |
| Better Auth Best Practiceslatitude-dev/latitude-llm | 4.7k | 7 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Supabasecurvenote/curvenote | 169 | 5 repos | ~2.2k | Automated safety check: Pass | Custom licence | |
| Gitnexus Exploringaws-samples/sample-kolya-br-proxy | 106 | 11 repos | ~749 | Automated safety check: Pass | MIT-0 |
coollabsio/coolify
ACTIVATE when the user works on authentication in Laravel. An agent skill from coollabsio/coolify.
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.
latitude-dev/latitude-llm
Configure Better Auth server and client, set up database adapters, manage sessions, add plugins, and handle environment variables.
curvenote/curvenote
A skill your agent uses when doing ANY task involving Supabase.
aws-samples/sample-kolya-br-proxy
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.
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…
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…
AgibotTech/genie_sim
Download the Simulation Challenge LeRobot v2.1 training datasets from ModelScope using ./scripts/downloaddataset.sh.
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…
AgibotTech/genie_sim
Build the geniesimros colcon workspace inside the Genie Sim Docker container using the geniesim ros build CLI verb.
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…
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.
Categories
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.