Template — Interview Scorecard (Markdown)
Tiny SAMPLE markdown template (interview-scorecard) for docs and planning workflows.
# Interview Scorecard (SAMPLE)
Candidate: ____
Role: ____
Scores (1-5): coding __ communication __
Specifications
- Wave
- I
- Role
- markdown-template
Testing contract
Expected to pass- Scenario
- Exercise Template — Interview Scorecard (Markdown) in its career workflow. Tiny SAMPLE markdown template (interview-scorecard) for docs and planning workflows.
- Expected result
- 5 text lines, decoded as UTF-8; first nonempty line is `# Interview Scorecard (SAMPLE)`. Declared feature checks: role=markdown-template.
What is a .md file?
Markdown (MD) is a lightweight plain-text markup language that uses simple punctuation conventions to denote headings, lists, links, emphasis, and code. It is designed to be readable as-is and to convert cleanly to HTML. It is widely used for documentation, READMEs, and content authoring.
How to use this file
Use an example Markdown file to test parsers and renderers, verify GitHub-Flavored Markdown extensions like tables and fenced code, and exercise HTML-conversion pipelines.
How to use this file for testing
“Template — Interview Scorecard (Markdown)” is a deterministic Novus Examples fixture for Editor testing, Conversion testing. Text-based files you can open, edit, and download directly in the browser editor.
Documented properties for this file: markdown-template. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
This template ships filled with realistic sample content and documented fields and formulas. Download it as a starting point, or point a converter/parser at it, format twins (for example DOCX↔PDF) let you diff conversion fidelity.
Code examples
import markdown # pip install markdown
html = markdown.markdown(open("interview-scorecard.md").read())
print(html[:200])Related files
- mdCampaign Content Brief: Field Notes (Markdown)A channel-ready brief connecting one campaign objective to audience insight, messages, assets, and approvals. This UTF-8 Markdown twin preserves the same headings, lists, checkboxes, and GFM tables in portable plain text.
- mdClient Onboarding Questionnaire (Markdown)A completed discovery questionnaire for a fictional product-launch engagement. This UTF-8 Markdown twin preserves the same headings, lists, checkboxes, and GFM tables in portable plain text.
- csvEvent Run of Show (CSV)A minute-by-minute production schedule with cues, ownership, locations, and contingencies. This UTF-8 CSV twin contains the model's single canonical table for parser, import, and round-trip tests.
- mdIncident Postmortem: Checkout Latency (Markdown)A blameless operational review with impact, timeline, causal analysis, and owned actions. This UTF-8 Markdown twin preserves the same headings, lists, checkboxes, and GFM tables in portable plain text.
- csvProject Risk Register (CSV)A scored delivery-risk register with owners, mitigations, triggers, and review dates. This UTF-8 CSV twin contains the model's single canonical table for parser, import, and round-trip tests.
- csvVendor Evaluation Scorecard (CSV)A weighted comparison of fictional vendors with evidence notes, decisions, and review ownership. This UTF-8 CSV twin contains the model's single canonical table for parser, import, and round-trip tests.
Generated by generation/pad_wave_i.py. Free for any use, no attribution required, license.