forgecad-grade-model
Grade a ForgeCAD or CAD-as-code model against a requirement, brief, prompt, reference, or acceptance criteria with evidence and a 0-10 score.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Grade a ForgeCAD or CAD-as-code model against a requirement, brief, prompt, reference, or acceptance criteria with evidence and a 0-10 score.
Select, run, and interpret ForgeCAD inspection evidence for collisions, sections, wall thickness, components, masks, depth, normals, surface continuity, and fit.
Verify a ForgeCAD MJCF export in MuJoCo with dynamics, contacts, controls, joint travel, and rendered evidence before calling it simulation-ready.
Audit changed code for security sharp edges — dangerous defaults, type confusion, and silent failures
Systematically debug a problem using a four-phase workflow
Use this skill when the user invokes /review-nvbench to review an NVBench pull request, PR branch, commit range, or diff. Supports context, feedback, and adversarial modes.
Run a focused Centaur tool health smoke test across every live tool CLI. Use when asked to smoke test tools, check all tool auth/connectivity, validate brokered credential injection, or produce a Slack-ready health report for the current deployment.
Deep code optimization audit using parallel specialist agents that hunt performance anti-patterns via pattern-based detection, avoiding anchoring bias. Covers DB queries, memory leaks, algorithmic complexity, concurrency, bundle size, dead code, I/O/network, rendering, caching, and build config. Use when asked to optimize code, find performance issues or bottlenecks, speed up an app, reduce latency, detect code smells, or run a performance/quality audit.
Review a Stencila site configuration (stencila.toml) for correctness, completeness, best practices, and rendered appearance. Use when asked to review, audit, validate, check, or assess a site config, stencila.toml, site routes, redirects, site layout, layout presets, site nav, navigation, site access, access control, or site deployment readiness.
Evaluate source code for correctness, quality, security, style conformance, and maintainability, producing a structured review report with findings and recommendations. Use when the user wants to review, critique, audit, evaluate, or inspect source code — checking for bugs, logic errors, unhandled error paths, security vulnerabilities, naming and readability issues, complexity, duplication, coupling, testability, and API design. Discovers codebase conventions independently and produces an actionable report with severity-graded findings grouped by category, prioritized recommendations, and open questions.