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.
npx skills add Tuminha/dental-ai-skills --skill clinical-evidence-reviewergit clone --depth 1 https://github.com/Tuminha/dental-ai-skillsWrote 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.
[](https://agentmods.dev/skills/tuminha/dental-ai-skills/clinical-evidence-reviewer)<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.
<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>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.
| Model | Per session | Once 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 |
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.
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.
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.
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.
- 29d ago Changed · +36 lines b34ccf0e14c4
- 2mo ago First seen · 336 lines · 112 tokens per session scan A ec0e2d97a32b
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.
Other skills, from other repositories
imaging-data-commons
Queries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery, DICOM access, radiology (CT, MR, PET) and pathology AI datasets, metadata SQL, visualization, licensing, and citations. Uses public metadata and download routes without authentication; optional BigQuery…
lab-hardware-cad
Designs custom laboratory hardware as parametric build123d models and exports fabrication artifacts as STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a…
onekgpd
Queries the 1000 Genomes Project dataset (3,202 whole-genome-sequenced individuals, GRCh38) at the level of individual participants. Use when a question is about individuals or variants in the 1000 Genomes Project cohort: which individuals carry variants matching specific criteria in a gene or region, which…
statistical-analysis
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required…
biopython
Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom molecular-biology pipelines, BLAST automation, structure analysis, and motif analysis.
experimental-design
Designs experiments and studies BEFORE data is collected — choosing a design, randomizing, blocking, and laying out treatment combinations so results are interpretable. Use whenever someone is planning a study, asks how to assign subjects/samples to groups, mentions randomization, blocking, stratification, controls…