Agent skill

Challenge Inference Protocol

by AgibotTech in 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…

Custom licenceAuto-check passedBackend & APIs

Install Challenge Inference Protocol

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

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

GitHub CLI
$ gh skill install AgibotTech/genie_sim challenge-inference-protocol --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-inference-protocol .claude/skills/challenge-inference-protocol && 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-inference-protocol
GitHub stars
1.4k
Token cost
~1.7k tokens
SKILL.md length
516 words
Files
1
Skills in repo
26
Repo updated
First seen
Licence
Custom licence

At a glance

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…

  • Works in 4 steps: Input — observation (gateway → agent) → Output — action (agent → gateway) → Per-board model layout → …
  • Asks about 推理接口协议
  • SKILL.md covers 1. Input — observation…, 2. Output — action (agent →…, 3. Per-board model layout and 4. Quick checklist when…
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Challenge Inference Protocol is an agent skill from 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 inference agent over the reverse WebSocket tunnel. Covers the JSON-RPC envelope, image encoding, per-board state/action joint layout, the plain-msgpack response caveat, and the authoritative source files. Trigger: When the user asks about "推理接口协议", "inference protocol", "obs/action format", "观测/动作格式", "网关下发什么", "agent…

Its SKILL.md is about 1.7k 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 Realtime and WebSockets. The repository describes itself as: Simulation Platform from AgiBot.

When your agent uses it

  • Asks about 推理接口协议
  • Inference protocol
  • Obs/action format
  • What does the gateway send

Example prompts

  • “推理接口协议”
  • “inference protocol”
  • “obs/action format”
  • “/challenge-inference-protocol”

Requirements

  • Python 3

Workflow steps

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

  1. Input — observation (gateway → agent)
  2. Output — action (agent → gateway)
  3. Per-board model layout
  4. Quick checklist when debugging the adapter

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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are jsonc).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

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

Context cost

Challenge Inference Protocol loads about 1.7k tokens when it runs. Until then it costs about 175 tokens; SKILL.md has 516 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~175
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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 516 words (~1,668 tokens).

“This documents the application-layer payload the Simulation Challenge gateway (driven by the genie-sim simulator) exchanges with a contestant inference agent. The transport (reverse WebSocket tunnel, control frames, data-frame framing) is specified in the appendix of challenge-run-agent; this skill covers only…”

— opening of SKILL.md by AgibotTech, Custom licence
name
challenge-inference-protocol
metadata.author
zy
metadata.version
1.0

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit 6ca11c7

Compare with similar skills

Challenge Inference Protocol 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 Inference Protocol compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Challenge Inference Protocol this skillAgibotTech/genie_sim1.4k—~1.7kAutomated safety check: PassCustom licence
Supabase Development and Debuggingsupabase/agent-skills2.7k3 repos~3.6kAutomated safety check: PassMIT
Use Yaakmountain-loop/yaak19k—~1.9kAutomated safety check: PassMIT
Gemini Live API Devgoogle-gemini/gemini-skills4.3k—~4.6kAutomated safety check: PassApache-2.0
Web3 PolymarketPolymarket/agent-skills1912 repos~2kAutomated safety check: PassNone
GraphQL ArchitectJeffallan/claude-skills12k1 repos~1.3kAutomated safety check: PassMIT

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Categories

Questions about Challenge Inference Protocol

What does Challenge Inference Protocol do?

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…. Challenge Inference Protocol is an agent skill from 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 inference agent over the reverse WebSocket tunnel.

When should I use Challenge Inference Protocol?

Challenge Inference Protocol fits situations like: asks about 推理接口协议; inference protocol; obs/action format; what does the gateway send.

How do I install Challenge Inference Protocol in Claude Code?

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

How do I install Challenge Inference Protocol in Codex?

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

Can I use Challenge Inference Protocol 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-inference-protocol -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-inference-protocol, .gemini/skills/challenge-inference-protocol, .github/skills/challenge-inference-protocol and .opencode/skills/challenge-inference-protocol in your project.

What does Challenge Inference Protocol need to run?

SKILL.md names no scripts, command-line tools or credentials: Challenge Inference Protocol is instructions for the agent only. Our summary lists: Python 3.

Does Challenge Inference Protocol access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Challenge Inference Protocol 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 Inference Protocol use?

Challenge Inference Protocol 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 Inference Protocol use?

About 1.7k tokens (SKILL.md is roughly 6.7k 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 Inference Protocol?

Skills that share tags, products or a category with Challenge Inference Protocol: Supabase Development and Debugging (supabase/agent-skills, 2.7k stars), Use Yaak (mountain-loop/yaak, 19k stars), Gemini Live API Dev (google-gemini/gemini-skills, 4.3k stars) and Web3 Polymarket (Polymarket/agent-skills, 191 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Challenge Inference Protocol?

AgibotTech (a GitHub organization) maintains it in AgibotTech/genie_sim, which has 1,413 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.