Research Writing Skill
zLanqing/codex-claude-academic-skills
Chinese-first research paper writing, revision, polishing, section drafting, rebuttal, peer-review response, thesis prose improvement, and manuscript argument planning.
A skill your agent uses to fetch the contestant's best score and the per-board leaderboard for the Simulation Challenge.
$ npx skills add AgibotTech/genie_sim --skill challenge-ranking -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgibotTech/genie_sim challenge-ranking --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-ranking .claude/skills/challenge-ranking && 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-ranking" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-ranking into .claude/skills/challenge-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-ranking", 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-rankingType 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-ranking -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgibotTech/genie_sim challenge-ranking --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-ranking .agents/skills/challenge-ranking && 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-ranking" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-ranking into .agents/skills/challenge-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-ranking", 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-ranking -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgibotTech/genie_sim challenge-ranking --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-ranking .cursor/skills/challenge-ranking && 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-ranking" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-ranking into .cursor/skills/challenge-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-ranking", 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-ranking--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-ranking -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgibotTech/genie_sim challenge-ranking --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-ranking .gemini/skills/challenge-ranking && 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-ranking" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-ranking into .gemini/skills/challenge-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-ranking", 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-rankingInstalls 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-ranking -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-ranking .github/skills/challenge-ranking && 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-ranking" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-ranking into .github/skills/challenge-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-ranking", 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-ranking -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-ranking --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-ranking .opencode/skills/challenge-ranking && 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-ranking" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_benchmark/skills/robocoliseum/challenge-ranking into .opencode/skills/challenge-ranking/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge-ranking", 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-rankingA skill your agent uses to fetch the contestant's best score and the per-board leaderboard for the Simulation Challenge.
Challenge Ranking is an agent skill from AgibotTech/genie_sim. Use to fetch the contestant's best score and the per-board leaderboard for the Simulation Challenge. Read-only; safe to run without confirmation.
Its SKILL.md is about 970 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 Research & Science, covering Citation management. The repository describes itself as: Simulation Platform from AgiBot.
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:
curljqFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names these keys or tokens, usually read from environment variables:
CHALLENGE_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Challenge Ranking loads about 965 tokens when it runs. Until then it costs about 41 tokens; SKILL.md has 359 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 359 words (~965 tokens).
Just SKILL.md in source/geniesim_benchmark/skills/robocoliseum/challenge-ranking of AgibotTech/genie_sim.
Open the folder on GitHubat commit 6ca11c7
Challenge Ranking 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 Ranking this skillAgibotTech/genie_sim | 1.4k | — | ~965 | Automated safety check: Pass | Custom licence | |
| Research Writing SkillzLanqing/codex-claude-academic-skills | 4.6k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Skill Source CitationsArenukvern/mcp_flutter | 386 | — | ~640 | Automated safety check: Pass | MIT | |
| Seven Pass Reviewpedrohcgs/claude-code-my-workflow | 1.6k | — | ~3.3k | Automated safety check: Notes | MIT | |
| Setup MedsciAperivue/medsci-skills | 329 | — | ~960 | Automated safety check: Pass | MIT | |
| ResearchSethGammon/Citadel | 922 | — | ~3.3k | Automated safety check: Pass | MIT |
zLanqing/codex-claude-academic-skills
Chinese-first research paper writing, revision, polishing, section drafting, rebuttal, peer-review response, thesis prose improvement, and manuscript argument planning.
Arenukvern/mcp_flutter
Requires durable citations when authoring or researching Agent Skills—maintain references/sources.md per skill, link external research, and record provenance in PRs.
pedrohcgs/claude-code-my-workflow
Mechanize Pattern 15 — the seven-pass adversarial review protocol for academic manuscripts.
Aperivue/medsci-skills
A skill your agent uses when a skill fails for a missing tool or the environment needs checking.
SethGammon/Citadel
Focused research investigations. An agent skill from SethGammon/Citadel.
softspark/ai-toolkit
Hierarchical retrieval: KB → MCP/Context7 → web. An agent skill from softspark/ai-toolkit.
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 when the contestant needs to obtain or refresh their Simulation Challenge JWT (CHALLENGETOKEN), or wants to inspect the current logged-in user.
Categories
A skill your agent uses to fetch the contestant's best score and the per-board leaderboard for the Simulation Challenge. Challenge Ranking is an agent skill from AgibotTech/genie_sim. Use to fetch the contestant's best score and the per-board leaderboard for the Simulation Challenge.
Challenge Ranking fits situations like: fetch the contestants best score and the per-board leaderboard for the Simulation Challenge; tasks that involve Citation management.
Run `npx skills add AgibotTech/genie_sim --skill challenge-ranking -a claude-code`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-ranking in AgibotTech/genie_sim) into .claude/skills/challenge-ranking in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgibotTech/genie_sim --skill challenge-ranking -a codex`. Or copy the skill folder (source/geniesim_benchmark/skills/robocoliseum/challenge-ranking in AgibotTech/genie_sim) into .agents/skills/challenge-ranking 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-ranking -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-ranking, .gemini/skills/challenge-ranking, .github/skills/challenge-ranking and .opencode/skills/challenge-ranking in your project.
Going by SKILL.md and its folder, Challenge Ranking needs the command-line tools its instructions call (curl and jq) and credentials named CHALLENGE_TOKEN. Our summary lists: A credential in CHALLENGE_TOKEN.
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.
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 Ranking has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 965 tokens (SKILL.md is roughly 3.9k 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 Ranking: Research Writing Skill (zLanqing/codex-claude-academic-skills, 4.6k stars), Skill Source Citations (Arenukvern/mcp_flutter, 386 stars), Seven Pass Review (pedrohcgs/claude-code-my-workflow, 1.6k stars) and Setup Medsci (Aperivue/medsci-skills, 329 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.