component-design-with-tdad skillA
component-design-with-tdad is agent-read markdown (skill) from habitat-thinking/ai-literacy-superpowers: Use when designing a new plugin component (skill, agent, command, or backing script) for the ai-literacy-superpowers plugin or a sister plugin in this marketplace. Surfaces the design questions that the four-layer TDAD architecture implies — component type, tier targeting, scenario shape, FINDING-vs-scenario judgement, modification-vs-refactor heuristic. Loadable by spec-writer, tdd-agent, or directly during human brainstorming. Not a gate; a methodology guide that names the questions to ask bef.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Component design with TDAD When designing a new plugin component — a skill, an agent, a command, or a backing script — the four-layer TDAD architecture has implications for the component's *shape* that are easy to miss if the design is done before the testing discipline is considered. This skill names the questions to ask at design time so the component ships test-friendly rather than acquiring (or never acquiring) its scenario afterwards. The skill is loadable by: - The `spec-writer` agent when authoring a spec that adds a new plugin component - The `tdd-agent` when operating in its agent-artefact branch (a scenario file is the RED-phase deliverable) - Human brainstorming directly, before any agent dispatch It is **not a gate**. The forcing functions live in HARNESS.md (the deterministic CI workflows shipped in v0.36.0). This skill packages the design intelligence those gates assume. --- ## Before reading this skill The skill assumes familiarity with: - The four-layer TDAD architecture — see [the TDAD docs page](../../../docs/tdad/index.md) and [`tdad_tests/README.md`](../../../tdad_tests/README.md) for the full architecture and cost-cadence trade-offs …
Read the whole file at its exact version.
How to install
mdr add habitat-thinking/ai-literacy-superpowers/component-design-with-tdad@git:20260510.3655852mdr add habitat-thinking/ai-literacy-superpowers/component-design-with-tdad@sha256:d70b14b058ea5120Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_bbodih4mm35d6npi)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13394 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
habitat-thinking/ai-literacy-superpowers · 106 stars · license NOASSERTION · pushed 2026-09-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_bbodih4mm35d6npi GET https://markdownregistry.com/api/v1/resolve?ref=habitat-thinking/ai-literacy-superpowers/component-design-with-tdad GET https://markdownregistry.com/api/v1/blob/d70b14b058ea51206a537781bd2379f9e48f53fbfe0a0c502bb2cf3cbafc0a1c
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