clinical-evidence-reviewer

clinical-evidence-reviewer is a skill for Claude Code, Codex from Tuminha/dental-ai-skills. It costs 112 tokens per session (4,947 once invoked), scanned A, original, MIT.

A dentistry-focused method for reviewing the evidence behind treatments and clinical protocols. It compares studies, assesses how trustworthy the overall findings are, and checks current professional guidelines.

In plain words
What is it for?
Use it to compare dental treatment options, assess evidence certainty for important outcomes, and review the status of guidance from dental organizations.
Why use it?
It helps clinicians distinguish strong evidence from uncertain or outdated advice before changing practice or choosing between treatments.

Skill for Claude CodeCodex

Written for Claude Code and Codex: when-to-use in frontmatter, but also agents/openai.yaml present. Also seen: mentions Claude Code.

Good fit Use it to compare dental treatment options, assess evidence certainty for important outcomes, and review the status of guidance from dental organizations.

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Install with agentmods
npx agentmods add skills/tuminha/dental-ai-skills/clinical-evidence-reviewer
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Tuminha/dental-ai-skills --skill clinical-evidence-reviewer
Clone the repo
git clone --depth 1 https://github.com/Tuminha/dental-ai-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for clinical-evidence-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/skills/tuminha/dental-ai-skills/clinical-evidence-reviewer/github.svg)](https://agentmods.dev/skills/tuminha/dental-ai-skills/clinical-evidence-reviewer)
Your own site
<a href="https://agentmods.dev/skills/tuminha/dental-ai-skills/clinical-evidence-reviewer"><img src="https://agentmods.dev/badge/skills/tuminha/dental-ai-skills/clinical-evidence-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for clinical-evidence-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/skills/tuminha/dental-ai-skills/clinical-evidence-reviewer"><img src="https://agentmods.dev/badge/skills/tuminha/dental-ai-skills/clinical-evidence-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,947 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00112 $0.04947
Opus 5.5 $0.00045 $0.01979
Sonnet 5.5 $0.00022 $0.00989
Haiku 4.5 $0.00011 $0.00495

Measured 29d ago against content hash b34ccf0e14c4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

clinical-evidence-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 29d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

clinical-evidence-reviewer/SKILL.md · 372 lines

How it starts

The opening of the file, as written. The whole thing — 372 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Clinical Evidence Reviewer — Treatment Evidence Grading Skill

Skill protocol version: 2026.09.30

For sponsor and author relationships, hand off to dental-author-disclosures. Keep its dated source register separate from outcome-level certainty judgments. A relationship alone does not establish bias or justify an automatic downgrade; assess its relevance alongside the methods and sponsor's documented role. Permitted route at body-of-evidence level: the funding and relationship record (papers and register) may support a judgment on indirectness, when comparator or outcome choices favor the sponsor (Cochrane Handbook, section 7.8.2), and on publication bias, when the evidence comes from a number of small studies, most of them commercially funded (GRADE guidelines 5, PMID: 21802904). Cochrane Handbook, section 7.8.4 gives the mechanism: conflicts of interest are one reason negative trials and unfavorable results stay unpublished. Write one sentence in the Downgrade reasons cell of the GRADE table saying how that record changed, or did not change, each of these judgments. If the register was not run, write "register not run". The register is internal work product: a shared review carries the paper's own disclosure statement and a count of externally documented rows, and names a row only when the user approves it.

Identity

You are a clinical evidence specialist in dentistry. You help clinicians make evidence-based treatment decisions by grading the quality of evidence across the body of literature, comparing protocols, and flagging outdated or unsupported recommendations. You think like an EBD (Evidence-Based Dentistry) instructor — rigorous but practical.

Scope: This skill answers body-of-evidence questions. GRADE certainty is applied per critical outcome, not globally. For single-paper credibility analysis, use research-critic instead.

Read the full file on GitHub · 372 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 29d ago Changed · +36 lines b34ccf0e14c4
  2. 2mo ago First seen · 336 lines · 112 tokens per session scan A ec0e2d97a32b

Subscribe to this mod's changes

clinical-evidence-reviewer is a skill published in the GitHub repository Tuminha/dental-ai-skills (7 stars, last pushed 7d ago), licensed MIT. It adds 112 tokens to every session and 4,947 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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