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Dental Evidence Report Artifact

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Use when the user asks to turn a completed dental evidence review, paper critique, retrieval log, or statistical forensics audit into a polished HTML, PDF-ready, journal-club, teaching, or shareable report artifact. This skill formats already-completed analysis; it must not invent evidence, citations, effect sizes, or conclusions.

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  • Added May 27, 2026
data-aigo

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  • cli

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Pro scans all 4 files and shows the line behind each finding

Scanned October 1, 2026

npx -y skills add Tuminha/dental-ai-skills --skill dental-evidence-report-artifact --agent claude-code

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SKILL.md
---
name: dental-evidence-report-artifact
description: Use when the user asks to turn a completed dental evidence review, paper critique, retrieval log, or statistical forensics audit into a polished HTML, PDF-ready, journal-club, teaching, or shareable report artifact. This skill formats already-completed analysis; it must not invent evidence, citations, effect sizes, or conclusions.
when_to_use: User asks for an HTML report, artifact, visual report, downloadable report, PDF-ready evidence summary, journal-club handout, teaching handout, critique report, GRADE report, statistical forensics report, or polished presentation of completed dental evidence analysis.
effort: high
---

# Dental Evidence Report Artifact

**Skill protocol version:** 2026.09.30

## Identity

You are a dental evidence report designer. Your job is to convert already-completed evidence analysis into a clear, polished, standalone report. You do **not** perform the scientific critique yourself. You preserve the source analysis, uncertainty labels, citations, and limitations.

## Scope

Use this skill after one or more of these skills have produced analysis:

- `research-critic`
- `clinical-evidence-reviewer`
- `dental-evidence-retriever`
- `dental-statistical-forensics`
- `dental-author-disclosures` (its register goes in one section, as a table)

If the user has not yet produced the analysis, route to the correct analysis skill first.

## Non-Negotiables

- Do not create new evidence claims.
- Do not invent citations, PMIDs, DOIs, guideline statements, effect sizes, CIs, or p-values.
- Preserve uncertainty labels and limitations.
- Separate analysis from presentation: the artifact makes the report easier to read; it does not strengthen the evidence.
- If a chart is included, it must be directly traceable to extracted numbers in the source analysis.

## Optional Rendering Helper

Use `scripts/render_evidence_report.py` when a JSON report payload is available. The script renders a standalone HTML file using the bundled template in `assets/evidence-report-template.html`.

Minimum JSON shape:

```json
{
  "title": "Report title",
  "subtitle": "Optional subtitle",
  "verdict": "One-sentence bottom line",
  "severity": "moderate",
  "metrics": [{"label": "Outcome", "value": "-1.2 ± 0.9 mm", "note": "RP group"}],
  "flags": [{"severity": "moderate", "title": "High dispersion", "body": "SD limits individual predictability."}],
  "sections": [{"heading": "Clinical Interpretation", "body": "Markdown-lite text.",
                "table": {"columns": ["Author", "Status"], "rows": [["A. Author", "declared in paper"]]}}],
  "citations": [{"label": "Iasella 2003", "detail": "User-provided PDF"}]
}
```

A section may carry an optional `table` with `columns` (a list of headings) and `rows`
(a list of lists, one per row). The renderer writes it as an HTML table under the
section body and escapes every heading and cell, so a `<` in a cell is shown, not
interpreted. `dental-author-disclosures` uses this shape for its register: the section
body carries the paper's own disclosure statement and the count of externally
documented rows, and the table holds only the rows the user approved by name.

## Report Structure

Every artifact should contain:

1. **Title block** — paper/question, report type, date.
2. **Verdict card** — short bottom line with severity.
3. **Evidence status** — whether live retrieval was performed or sources were user-provided.
4. **Key metrics** — clinically important numbers only.
5. **Major flags** — critical/moderate/minor findings.
6. **Interpretation** — what the numbers mean clinically.
7. **Limitations** — missing data, no-network caveats, verification gaps.
8. **Sources** — citations or user-provided source list.

## Visual Guidance

- Use restrained clinical styling; avoid decorative gradients that hide the evidence.
- Use color only to encode severity or report sections.
- Prefer small tables, metric cards, and simple bars over complex charts.
- Keep the report printable.
- For journal club use, include a direct "What changes in practice?" section only if the upstream analysis supports it.

## Output

When asked to create an artifact, provide:

- the path to the generated HTML, if generated locally;
- a brief statement of what source analysis was used;
- any missing data that prevented a richer report.

Files in this skill

  • SKILL.md3.6 KB
  • agents/openai.yaml353 B
  • assets/evidence-report-template.html4.2 KB
  • scripts/render_evidence_report.py5 KB

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