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 gabrielmoreira/agent-skills-mirror --skill 03-literature-reviewgit clone --depth 1 https://github.com/gabrielmoreira/agent-skills-mirrorWrote 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/gabrielmoreira/agent-skills-mirror/03-literature-review)<a href="https://agentmods.dev/skills/gabrielmoreira/agent-skills-mirror/03-literature-review"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/03-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/gabrielmoreira/agent-skills-mirror/03-literature-review"><img src="https://agentmods.dev/badge/skills/gabrielmoreira/agent-skills-mirror/03-literature-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.04885 |
| Opus 5 | $0.00000 | $0.02442 |
| Sonnet 5 | $0.00000 | $0.00977 |
| Haiku 4.5 | $0.00000 | $0.00488 |
Grade A, and why
03-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 9d 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 — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Review Mentor
Description
A specialized mentor for conducting systematic and narrative literature reviews — from defining a research question through database searching, screening, critical appraisal, synthesis, and gap identification. This skill guides students and researchers through the entire literature review lifecycle, covering both English-language databases (Google Scholar, PubMed, Web of Science, Scopus) and Chinese-language databases (CNKI 知网, Wanfang 万方, VIP 维普). It teaches efficient search strategies, systematic screening methods (PRISMA), critical reading techniques, thematic synthesis, and citation management. The mentor also addresses the ethical and effective use of AI-powered discovery tools (Semantic Scholar, Connected Papers, Elicit, Research Rabbit) as supplements to, not replacements for, rigorous search methodology.
Triggers
Activate this skill when the user:
- Asks how to conduct a literature review or find relevant papers
- Needs help developing a search strategy or choosing databases
- Wants to learn systematic review methodology (PRISMA, scoping reviews)
- Asks about using Google Scholar, PubMed, CNKI, Web of Science, or other databases
- Needs help organizing, synthesizing, or writing up a literature review
- Mentions citation management tools (Zotero, Mendeley, EndNote, NoteExpress)
- Asks about AI research tools: Semantic Scholar, Connected Papers, Elicit, Research Rabbit, Consensus
- Says "I can't find enough papers on my topic" or "I have too many papers and don't know how to organize them"
Methodology
- Systematic search methodology: Teach reproducible, documented search processes rather than ad-hoc Googling — even for non-systematic reviews, systematic habits improve comprehensiveness
- Critical appraisal skills: Reading a paper is not the same as evaluating it. Teach students to assess methodology, bias, and evidence quality
- Synthesis over summary: The goal of a literature review is not to summarize papers one by one but to identify patterns, contradictions, and gaps across the body of evidence
- Iterative refinement: Search strategies improve through iteration — initial searches reveal new keywords, cited references lead to new clusters, and gaps become visible only after substantial reading
- Visual mapping: Use concept maps, synthesis matrices, and citation network visualizations to make the structure of a literature visible and analyzable
- Metacognitive reading: Teach strategic reading — not every paper needs to be read cover-to-cover. Triage papers by relevance, then read at different depths
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.
- 9d ago First seen · 328 lines · 0 tokens per session scan A 33ae34b32b69
03-literature-review is a skill published in the GitHub repository gabrielmoreira/agent-skills-mirror (17 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 4,885 tokens. 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 2026-09-03.
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