Debug
asgeirtj/system_prompts_leaks
Enable debug logging for this session and help diagnose issues
Diagnose physics misbehaviour in the Genie Sim RT Engine — robot swings on spawn, contacts tunnel, joints drift past their limits, cloth blows up, the convex-hull proxy renders instead of the visual…
$ npx skills add AgibotTech/genie_sim --skill debug-physics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgibotTech/genie_sim debug-physics --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_ros/skills/debug-physics .claude/skills/debug-physics && 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 "debug-physics" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/debug-physics into .claude/skills/debug-physics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-physics", 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_ros/skills/debug-physicsType 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 debug-physics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgibotTech/genie_sim debug-physics --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_ros/skills/debug-physics .agents/skills/debug-physics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "debug-physics" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/debug-physics into .agents/skills/debug-physics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-physics", 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 debug-physics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgibotTech/genie_sim debug-physics --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_ros/skills/debug-physics .cursor/skills/debug-physics && 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 "debug-physics" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/debug-physics into .cursor/skills/debug-physics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-physics", 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_ros/skills/debug-physics--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 debug-physics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgibotTech/genie_sim debug-physics --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_ros/skills/debug-physics .gemini/skills/debug-physics && 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 "debug-physics" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/debug-physics into .gemini/skills/debug-physics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-physics", 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 debug-physicsInstalls 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 debug-physics -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_ros/skills/debug-physics .github/skills/debug-physics && 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 "debug-physics" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/debug-physics into .github/skills/debug-physics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-physics", 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 debug-physics -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 debug-physics --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_ros/skills/debug-physics .opencode/skills/debug-physics && 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 "debug-physics" agent skill from https://github.com/AgibotTech/genie_sim/tree/main/source/geniesim_ros/skills/debug-physics into .opencode/skills/debug-physics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "debug-physics", 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.
debug-physicsDiagnose physics misbehaviour in the Genie Sim RT Engine — robot swings on spawn, contacts tunnel, joints drift past their limits, cloth blows up, the convex-hull proxy renders instead of the visual…
Debug Physics is an agent skill from AgibotTech/genie_sim. Diagnose physics misbehaviour in the Genie Sim RT Engine — robot swings on spawn, contacts tunnel, joints drift past their limits, cloth blows up, the convex-hull proxy renders instead of the visual mesh, or the wrong physics backend is active. Walks the user through the engine's debug toggles (visualizers, marker array, GL viewer, init teleport, backend swap) and the common failure-mode fixes. Trigger: When the user reports "robot swings at start", "objects float / sink into the floor", "contact tunnelling"…
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Simulation Platform from AgiBot. The licence is MPL-2.0.
5 steps, taken from the first numbered list 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and yaml).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Debug Physics loads about 2.3k tokens when it runs. Until then it costs about 179 tokens; SKILL.md has 797 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.
The full file from AgibotTech/genie_sim at commit 6ca11c7, republished under its MPL-2.0 licence (© AgibotTech). 797 words, ~2,301 tokens.
.claude/skills/debug-physics/SKILL.md (or your agent's skills folder).<limit> and MoveIt rejects the start state.Do not use for:
build-workspace skill output first.moveit-wbc,
in particular the fix_start_state + start_state_max_bounds_error
knobs.init_base_pose / init_joint_pos are non-physics teleport.
The engine writes them to USD attributes before world.reset()
on PhysX and to model.joint_q + control.joint_target_pos
before the first solver tick on Newton — drive error is zero at
t=0, so no startup swing. If you see a swing, your launcher /
scene yaml is bypassing this path.init_joint_pos is JSON-encoded, not a launch list.
launch_ros mangles list-typed params; the engine reads
init_joint_pos_json and decodes. Always edit it in scene yaml,
not on the CLI.physics:approximation token when
collisionEnabled=False, so the GL viewer renders the visual
mesh. If you still see the proxy, the USD set
collisionEnabled=True with a convexDecomposition approximation
and the visual mesh is missing.launcher_ovrtx_isaac_physx
(stable) vs launcher_newton_mjwarp (rigid, mujoco-warp). If
only one backend reproduces, the issue is solver-side, not
asset-side.| Check | What to do |
|---|---|
Was init_joint_pos set? | Add to scene yaml under the robot block. |
| Did the swing happen on PhysX? | Engine seeds state:angular/linear:physics:position before world.reset(). If swing returns, you're on an old build — rebuild via build-workspace. |
| Did the swing happen on Newton? | Engine writes model.joint_q + control.joint_target_pos + syncs state_0.joint_q + calls eval_fk in _phase_finalize_init_state before _warmup. Confirm with cat source/geniesim_ros/src/ros_ws/src/genie_sim_engine/scripts/engine/newton/setup/init_pose.py |
| Mimic followers still swing? | Mimic states are trivial — they ride the constraint. If they swing, the master joint init pose is wrong, not the follower. |
| Check | What to do |
|---|---|
| Backend? | Try the other launcher — PhysX 5 vs mujoco-warp have very different defaults. |
Was collisionEnabled=False set on the floor / object? | The engine strips the physics:approximation token only; if the whole CollisionAPI is disabled it'll fall through. Re-enable in the USD. |
| Soft joint limit drift? | MoveIt URDF limits are padded ±0.01 rad / ±0.001 m at launch (see wbc.launch.py). For the engine itself, raise the URDF <limit> if real contact load is pushing past it. |
| MuJoCo soft contact? | mjwarp uses a softer contact model than PhysX; reduce solref / solimp in the scene mjcf injection block. |
| Check | What to do |
|---|---|
| GL viewer or OVRtx? | OVRtx renders visual mesh; GL viewer renders both visual + collision. If only GL shows the hull, that's expected — toggle off the collision layer. |
collisionEnabled value on the prim | If False, the engine should not be authoring a collision shape at all. If a hull renders, the USD still has physics:approximation=convexDecomposition. The engine blocks that token at load — rebuild via build-workspace if not. |
| Recently merged scene? | Re-run assemble_scene.py (rm -rf assets/scenes/<scene>/ + relaunch). |
Common one for omnipicker / swiftpicker — verify:
gripper: matches the URDF you built MoveIt for.(arm, gripper) matches the engine's. See moveit-wbc.EEF_ABS payloads use arm_base_link framing (not base_link) —
this was the most common confusion before commit 6391cdcf6.# Newton GL viewer (rigid only, kit-free) — see raw geometry:
ros2 launch genie_sim_bringup app.launch.py \
scene:=<SCENE> \
launcher_config:=launcher_newton_mjwarp \
headless:=false # local workstation with a screen; flip to true on a remote/headless host
# Debug marker / pointcloud publishers (enabled in the launcher yaml):
ros2 topic list | grep -E "marker|pointcloud|debug"
ros2 topic echo /debug/contacts # contact normals + impulses
ros2 topic echo /debug/init_pose # confirms init_* applied
# Compare runtime USD against source:
cat assets/scenes/<scene>/robot_runtime.usda | head # post-strip / post-overridesPer-scene viewer-camera pose is configurable in the scene yaml:
viewer_camera:
pos: [1.6, -1.6, 1.2]
lookat: [0.0, 0.0, 0.8]When in doubt, run the same scene through both stable launchers and diff the behaviour:
ros2 launch genie_sim_bringup app.launch.py scene:=<S> launcher_config:=launcher_ovrtx_isaac_physx
ros2 launch genie_sim_bringup app.launch.py scene:=<S> launcher_config:=launcher_newton_mjwarp# 1. Force scene regenerate to rule out a stale cache
rm -rf assets/scenes/<scene>/
# OR:
ros2 launch genie_sim_bringup app.launch.py scene:=<S> launcher_config:=launcher_ovrtx_isaac_physx always_regenerate_robot_usd:=true
# 2. Try the other backend (bisection) — flip headless to true on a remote/headless host
ros2 launch genie_sim_bringup app.launch.py scene:=<S> launcher_config:=launcher_newton_mjwarp headless:=false
# 3. Inspect debug topics
ros2 topic list | grep -E "marker|debug|contacts"
ros2 topic echo /debug/contacts
# 4. Inspect the runtime USD
cat assets/scenes/<scene>/robot_runtime.usdalauncher_newton_* rows except launcher_newton_mjwarp are
experimental — physics, perf, and yaml schema can break between
commits. Use them when you specifically need cloth / soft body or
are intentionally testing a solver, not as a general fallback._apply_init_base_pose helper writes to the session layer
with a unique suffix, so re-launching doesn't accumulate
xformOpOrder ops. Safe to relaunch repeatedly.genie_sim_engine/scripts/engine/newton/setup/init_pose.py, kit/stage.pylaunch-scene, moveit-wbc, add-robot© AgibotTech, MPL-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in source/geniesim_ros/skills/debug-physics of AgibotTech/genie_sim.
Open the folder on GitHubat commit 6ca11c7
Debug Physics 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 |
|---|---|---|---|---|---|---|
| Debug Physics this skillAgibotTech/genie_sim | 1.4k | — | ~2.3k | Automated safety check: Pass | MPL-2.0 | |
| Debugasgeirtj/system_prompts_leaks | 69k | — | ~439 | Automated safety check: Pass | CC0-1.0 | |
| Debugging Toolkitsickn33/agentic-awesome-skills | 47k | 1 repos | ~344 | Automated safety check: Pass | MIT | |
| Hypothesis-Driven Debuggingcode-yeongyu/oh-my-openagent | 70k | — | ~3.2k | Automated safety check: Pass | Custom licence | |
| Aoti Debugpytorch/pytorch | 104k | 1 repos | ~1.7k | Automated safety check: Pass | Custom licence | |
| Agent Introspection Debuggingaffaan-m/ECC | 274k | 2 repos | ~1.4k | Automated safety check: Pass | MIT |
asgeirtj/system_prompts_leaks
Enable debug logging for this session and help diagnose issues
sickn33/agentic-awesome-skills
A skill your agent uses when working with debugging toolkit smart debug (Alias for debugging-toolkit-smart-debug)
code-yeongyu/oh-my-openagent
Runs a hypothesis-driven debugging loop for crashes, hangs and silent failures in any language, grounding every claim in runtime evidence and locking the fix with a test.
pytorch/pytorch
Debug AOTInductor (AOTI) errors and crashes. An agent skill from pytorch/pytorch.
affaan-m/ECC
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports.
ruvnet/ruflo
Diagnose why a GAIA question failed — extract trace, classify failure mode, and propose a fix.
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.
Diagnose physics misbehaviour in the Genie Sim RT Engine — robot swings on spawn, contacts tunnel, joints drift past their limits, cloth blows up, the convex-hull proxy renders instead of the visual…. Debug Physics is an agent skill from AgibotTech/genie_sim. Diagnose physics misbehaviour in the Genie Sim RT Engine — robot swings on spawn, contacts tunnel, joints drift past their limits, cloth blows up, the convex-hull proxy renders instead of the visual mesh, or the wrong physics backend is active.
Debug Physics fits situations like: reports robot swings at start; objects float / sink into the floor; contact tunnelling; joint went past limit.
Run `npx skills add AgibotTech/genie_sim --skill debug-physics -a claude-code`. Or copy the skill folder (source/geniesim_ros/skills/debug-physics in AgibotTech/genie_sim) into .claude/skills/debug-physics in your project. Claude Code loads it when a task matches its description.
Run `npx skills add AgibotTech/genie_sim --skill debug-physics -a codex`. Or copy the skill folder (source/geniesim_ros/skills/debug-physics in AgibotTech/genie_sim) into .agents/skills/debug-physics 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 debug-physics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/debug-physics, .gemini/skills/debug-physics, .github/skills/debug-physics and .opencode/skills/debug-physics in your project.
SKILL.md names no scripts, command-line tools or credentials: Debug Physics is instructions for the agent only. Our summary lists: Docker.
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.
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.
Debug Physics is published under the MPL-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.3k tokens (SKILL.md is roughly 9.2k 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 Debug Physics: Debug (asgeirtj/system_prompts_leaks, 69k stars), Debugging Toolkit (sickn33/agentic-awesome-skills, 47k stars), Hypothesis-Driven Debugging (code-yeongyu/oh-my-openagent, 70k stars) and Aoti Debug (pytorch/pytorch, 104k 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 1,413 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.