Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Science Sim Author
Generate self-contained interactive science simulations as a single index.html from a SimSpec YAML or JSON. Use when the user asks for physics, chemistry, bi...
skill openclawclawhub Free
Generate self-contained interactive science simulations as a single index.html from a SimSpec YAML or JSON. Use when the user asks for physics, chemistry, bi...
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0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, agents/openai.yaml, examples/projectile_drag.yml, examples/rc_circuit.yml, examples/spring_mass.yml, rubrics/pedagogy_inquiry_prompts.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.3
Provenance
- Publisher
- dimgouso
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Core promise
Generate one self-contained index.html that runs offline, renders a STEM simulation on a 2D canvas, exposes model parameters as sliders, plots a time series, and includes an inquiry worksheet.
Inputs
Accept a SimSpec in YAML or JSON with: id, title, domain state, params, initial, equations, outputs optional level, dt, worksheet, success_criteria Validate against templates/sim_spec_schema.json before generating anything.
Output contract
Produce exactly one file named index.html. Keep all CSS in <style> and all JS in <script>. Do not use bundlers, package managers, CDNs, external fonts, or runtime network access. Include these DOM ids: simCanvas, plotCanvas, runToggle, stepBtn, resetBtn, dtSlider, paramControls, readouts, statusBanner, worksheet, copyJsonBtn, downloadCsvBtn. Include controls, readouts, one time-series plot, local JSON snapshot export, local CSV download, and a non-empty worksheet.
Workflow
Validate the incoming SimSpec against templates/sim_spec_schema.json. Normalize the spec: If dt is missing, use default=0.01, min=0.001, max=0.05. If a parameter omits step, derive step=(max-min)/100 with sensible rounding. Normalize derivative aliases such as dx, dy, dvx, dvy, dq, dvc to canonical d<stateName> keys before generating JS. Default readouts to t plus every state variable in state order. Choose the renderer: mechanics + state includes x and y -> trajectory2d mechanics + state includes x and v -> oscillator1d electromagnetism + state includes q or vc -> circuit_rc Otherwise stop and ask the user for a clearer SimSpec instead of guessing. Populate templates/sim_single_file_html_template.html with pre-normalized values. Run rubrics/validation_checklist.md before returning the final index.html.
Template placeholders
Populate these mustache variables: sim_id, sim_title, domain, level, renderer_kind state_json, params_json, initial_json, equations_json, outputs_json worksheet_json, success_criteria_json, readout_fields_json dt_default, dt_min, dt_max model_step_logic_js, scene_draw_js, readout_map_js Expectations: JSON placeholders must be serialized before insertion. String placeholders used in data attributes should be plain strings. model_step_logic_js must return a derivative object without using eval or Function. scene_draw_js and readout_map_js may be no-ops; use return []; for an empty readout override.
Rendering and model rules
Use the shared RK4 and Euler integrators already present in the template. Keep physics fixed-step and rendering on requestAnimationFrame. Auto-pause if any state becomes NaN or Infinity. Cap trail history and plot history. Prefer one clear plot target from outputs; if multiple plots are supplied, use the first one for the visible plot and keep the rest only as metadata.
Worksheet rules
If the SimSpec provides a worksheet, keep it unless it is incomplete. If any worksheet category is missing, synthesize it using rubrics/pedagogy_inquiry_prompts.md. Always return: 3 Predict prompts 2 Test prompts 2 Explain prompts 2 Misconceptions prompts
Safety rules
Apply rubrics/security_notes.md strictly. Do not tell the user to run shell commands. Do not request secrets or API keys. Do not fetch remote assets or scripts. Do not add hidden telemetry or analytics. Do not produce multiple files.
Templates and references
Template: templates/sim_single_file_html_template.html Schema: templates/sim_spec_schema.json Validation checklist: rubrics/validation_checklist.md Pedagogy prompts: rubrics/pedagogy_inquiry_prompts.md Security notes: rubrics/security_notes.md
Examples
examples/projectile_drag.yml examples/spring_mass.yml examples/rc_circuit.yml
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Config2 Docs
- SKILL.md
- rubrics/pedagogy_inquiry_prompts.md
- agents/openai.yaml
- examples/projectile_drag.yml
- examples/rc_circuit.yml
- examples/spring_mass.yml