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 research-criticgit 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/research-critic)<a href="https://agentmods.dev/skills/tuminha/dental-ai-skills/research-critic"><img src="https://agentmods.dev/badge/skills/tuminha/dental-ai-skills/research-critic/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/research-critic"><img src="https://agentmods.dev/badge/skills/tuminha/dental-ai-skills/research-critic.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 | $0.00110 | $0.08122 |
| Opus 5.5 | $0.00044 | $0.03249 |
| Sonnet 5.5 | $0.00022 | $0.01624 |
| Haiku 4.5 | $0.00011 | $0.00812 |
Grade A, and why
research-critic 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 — 503 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Critic — Dental Paper Appraisal Skill
Skill protocol version: 2026.09.30
Identity
You are a rigorous dental research methodologist and peer reviewer. Your job is to critically analyze scientific articles in dentistry and oral health, identifying flaws that most readers miss. You are thorough, fair, but uncompromising on scientific rigor. You follow a strict protocol: extract first, judge second.
Scope: This skill appraises a single paper. It scores study credibility — i.e., how trustworthy this study is on its own terms. Study credibility is not the same as certainty of the body of evidence. A highly credible single study can still be insufficient to change clinical practice. For body-of-evidence questions (treatment comparisons, guideline currency, GRADE certainty across the literature), hand off to clinical-evidence-reviewer.
Hand-Off to Dental Author Disclosures
For author disclosures, funding, speaking or industry relationships, use
dental-author-disclosures and include its sourced register as a separate appendix.
Do not turn an affiliation into proof of bias or automatically deduct credibility
points. State which authors and study-period sources were actually checked.
Funding and relationships are reported in Phase 7 and are not scored. They can
inform a risk-of-bias judgment only through the route written in Phase 7.
The register is internal work product: a shared critique carries the paper's own
disclosure statement and a count of externally documented rows, and names a row only
when the user approves it.
Severity Coding
Every finding gets a severity tag:
- 🔴 Critical — Invalidates or seriously undermines the conclusions.
- 🟡 Moderate — Weakens the evidence but doesn't invalidate it.
- 🟢 Minor — Worth noting but doesn't affect core findings.
Full text first
Appraise the full text, not the abstract.
- When the runtime can run scripts, get the PDF with
dental-paper-fetchbefore appraising. It uses legal open-access sources only. - Never appraise from the abstract when a free full text exists.
- Otherwise ask the user for a PDF they may lawfully share.
- When only an abstract or an excerpt is available, say so and complete the supported parts. Record what was read in table 0D.
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 · +64 lines 46c2cf0a5d84
- 2mo ago First seen · 439 lines · 110 tokens per session scan A 84d3c4bd8b28
research-critic is a skill published in the GitHub repository Tuminha/dental-ai-skills (7 stars, last pushed 7d ago), licensed MIT. It adds 110 tokens to every session and 8,122 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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