bounded-invention-engineering
Convert ambitious invention concepts into auditable, reproducible research workspaces.
Skill by minagayid
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/minagayid-bounded-invention-engineering
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About
Use cases: testing, research
Reviews
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/bounded-invention-engineering
What's inside
- Skill name
bounded-invention-engineering- Description
- Convert ambitious invention concepts into auditable, reproducible research workspaces. Use when designing speculative energy, propulsion, climate, mobility, hardware, or cross-domain systems that need bounded physics models, negative controls, diagrams or renders, manufacturing/test gates, honest proof-gap ledgers, repository integration, or a static publication companion.
- License
- MIT
- Instructions
- 59 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Agent Skills spec issues
- body: contains an absolute path from the author's machine
Files (5)
- SKILL.md
- claim-boundaries.md · references/
- publication-boundaries.md · references/
- check_workspace.py · scripts/
- MODEL_SPEC_TEMPLATE.md · templates/
SKILL.md (first lines)
# Bounded Invention Engineering Use this skill to replace broad invention claims with **testable mechanisms and reversible first articles**. Treat every numerical result as finite evidence, not proof of safety, novelty, certification, or commercial readiness. ## Workflow 1. **Freeze the claim boundary.** State the physical system, intended environment, exclusions, conservation laws, and prohibited claims. Use the evidence labels in `references/claim-boundaries.md`. 2. **Collect constraints.** Use primary sources for governing physics, relevant regulation, and current deployment limits. Record URLs and the precise consequence for the design. 3. **Formulate the first falsifiable mechanism.** Identify one measurable causal claim, an explicit baseline, a negative control, pass conditions, and a condition that falsifies the design. 4. **Write the model specification before code.** Use `templates/MODEL_SPEC_TEMPLATE.md`. Specify units, inputs, numerical method, output files, resolution check, controls, and proof gaps. 5. **Implement deterministic finite models.** Save source, machine-readable summary, plots, rerun command, input/parameter manifest and environment note. Never hide assumptions in a render or hard-code a passing output. 6. **Run VVUQ and adversarial validation.** Separate implementation verification, external-model validation where possible, and numerical/parameter uncertainty. Include a meaningful negative control, parameter or time-step sensitivity, boundary cases, and a regression test. Inspect generated plots. Record any unavailable validation layer and every correction before proceeding. 7. **Create technical visuals.** Prefer Mermaid or D2 for systems, interfaces, state machines, and qualification sequences. Generate concept renders only for bounded first test articles; caption them as non-fabrication design references. 8. **Create the build and qualification pathway.** Separate laboratory modules, prototype articles, manufacturing processes, and any regulated deployment. Do not collapse them into a single readiness statement. 9. **Integrate and publish honestly.** Link source, model specification, outputs, visual assets, and limitations from the repository/site. For static hosts, generate a companion archive; do not deploy an SSR/API application as if static hosting supports it. 10. **Deliver the proof-gap ledger.** State exactly what a passing model does not establish and name the next physical test. ## Required artifacts Create a workspace with this minimum structure, adjusting names for the project. ```text invention/ ├── README.md ├── REFINED_DESIGN.md ├── simulation/ │ ├── MODEL_SPEC.md │ ├── model.py │ ├── test_model.py │ ├── outputs/ │ └── EXTERNAL_CONSTRAINTS_LEDGER.md ├── schematics/ │ ├── architecture.mmd │ ├── state_machine.mmd │ └── qualification_sequence.mmd └── assets/ ``` Run `python /home/ubuntu/skills/bounded-invention-engineering/scripts/check_workspace.py <workspace>` after creation. The checker is structural only; it cannot certify model validity. ## Model rules Use SI units, declare every assumption, and serialize parameters with outputs. Include at least one baseline and one negative control. For dynamic calculations, run a resolution or time-step check. When finite fault matrices are used, enumerate the covered fault set and state every excluded class, especially common-cause and latent failures. Do not use illustrative parameters as field-ready engineering values. Do not interpret a pass as an operating authorization, structural release, safety case, carbon-removal credit, mission feasibility, medical result, legal novelty finding, or regulatory compliance. ## Visual rules Diagram what the system **does**, what it **denies**, and what it **cannot claim**. Keep cross-domain hardware as separate modules unless evidence supports integration. Verify generated diagrams and plots visually. Preserve diagram source with every rendered PNG. ## Static-publication rule Before adding a GitHub Pages workflow, inspect the application runtime. GitHub Pages serves static artifacts only. If the project needs server-side rendering, APIs, authentication, a database, or server bindings, retain its runtime-capable deployment and publish a clearly labelled static companion archive rather than a broken clone. Read `references/publication-boundaries.md` when adding a Pages workflow. ## Completion gate Do not call an invention “validated” unless the report says **what was verified**, what was externally validated or unavailable, how uncertainty was bounded, under what finite conditions, by which versioned source, and what remains unresolved. A compelling render, a passing unit test, or an external link alone never closes the proof gap. Route high-consequence or large design-space studies to `eureka-computational-lab` when available.
From minagayid/innovator, MIT.
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Signals
- Stars
- 0
- Forks
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- Open issues
- 0
- Last commit (this folder)
- Aug 25, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/minagayid/innovator
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
bounded-invention-engineering skill. Agent Mart. https://agentmart.dev/skills/minagayid-bounded-invention-engineering (last updated 2026-10-24)