Borrowing it
Nothing to install: this file belongs to omar-A-hassan/medsci-agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/omar-A-hassan/medsci-agent/main/.opencode/skills/literature-review/SKILL.mdgit clone --depth 1 https://github.com/omar-A-hassan/medsci-agentWrote 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/omar-a-hassan/medsci-agent/literature-review)<a href="https://agentmods.dev/skills/omar-a-hassan/medsci-agent/literature-review"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/literature-review/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/omar-a-hassan/medsci-agent/literature-review"><img src="https://agentmods.dev/badge/skills/omar-a-hassan/medsci-agent/literature-review.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 | $0.00018 | $0.00496 |
| Opus 5 | $0.00009 | $0.00248 |
| Sonnet 5 | $0.00004 | $0.00099 |
| Haiku 4.5 | $0.00002 | $0.00050 |
Grade A, and why
literature-review 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 12d 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.
What it actually says
Systematic Literature Review
Overview
A systematic review follows a structured, reproducible methodology to identify, evaluate, and synthesize all relevant evidence on a research question. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) provides the reporting standard.
Search Strategy
- Define PICO: Population, Intervention, Comparison, Outcome.
- Build search query: Combine MeSH terms and free-text with Boolean operators.
- Select databases: PubMed, Scopus, Web of Science, Cochrane, Embase.
- Document everything: Record date, database, exact query, and result count.
PubMed Query Example
("breast cancer"[MeSH] OR "breast neoplasms"[tiab])
AND ("immunotherapy"[MeSH] OR "checkpoint inhibitor"[tiab])
AND ("overall survival"[tiab] OR "progression-free survival"[tiab])
Programmatic PubMed Access
from Bio import Entrez
Entrez.email = "[email protected]"
handle = Entrez.esearch(db="pubmed", term="CRISPR AND cancer", retmax=100)
record = Entrez.read(handle)
pmids = record["IdList"]
handle = Entrez.efetch(db="pubmed", id=pmids[:10], rettype="xml")
records = Entrez.read(handle)
PRISMA Flow
- Identification: Total records from all databases.
- Screening: Remove duplicates, screen titles/abstracts.
- Eligibility: Full-text review against inclusion/exclusion criteria.
- Included: Final studies for qualitative/quantitative synthesis.
Key Details
- Register protocol on PROSPERO before starting.
- Use reference managers (Zotero, EndNote) for deduplication.
- Risk of bias: use Cochrane RoB 2 (RCTs) or ROBINS-I (observational).
- For meta-analysis, extract effect sizes (OR, HR, SMD) with confidence intervals.
- Report PRISMA 2020 checklist and flow diagram in final publication.
- Screening tools: Rayyan, ASReview (AI-assisted), Covidence.
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.
- 12d ago First seen · 50 lines · 18 tokens per session scan A 953b636d737e
literature-review is a skill published in the GitHub repository omar-A-hassan/medsci-agent (18 stars, last pushed 5d ago), licensed MIT. It adds 18 tokens to every session and 496 once invoked, about $0.0001 per session on Opus 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 2026-08-30.
Other skills, from other repositories
build-expression-tree
For symbolic computation: ASTs, mathematical expressions, code that manipulates code structure, expression transformations.
find-convex-hull
For computational geometry: convex hull, point enclosure, polygon operations. Uses monotone chain algorithm with stack-based turn detection.
dfam-check
Measure mesh files against Design for Additive Manufacturing (DfAM) rules and report printability findings per process (FDM, SLS, SLA/DLP, metal PBF, MJF). Use when the user asks whether a part is printable, wants overhang/wall-thickness/support analysis of an .stl, .obj, .ply, or .3mf mesh, wants a build-orientation…
peer-review
Structured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating…
scientific-critical-thinking
Evaluate scientific claims and evidence quality. Use for assessing experimental design validity, identifying biases and confounders, applying evidence grading frameworks (GRADE, Cochrane Risk of Bias), or teaching critical analysis. Best for understanding evidence quality, identifying flaws. For formal peer review…
tooluniverse-phylogenetics
Phylogenetic analysis — de novo multiple sequence alignment (Clustal Omega/MUSCLE/MAFFT via EBImsaalign) and neighbour-joining/UPGMA tree building (EBIbuildphylogenetictree) from your own sequences, plus tree analysis, treeness, saturation (PhyKIT), parsimony-informative sites, alignment gap analysis, DVMC…