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 Felpix-Studios/social-science-research --skill lit-reviewgit clone --depth 1 https://github.com/Felpix-Studios/social-science-researchWrote 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/felpix-studios/social-science-research/lit-review)<a href="https://agentmods.dev/skills/felpix-studios/social-science-research/lit-review"><img src="https://agentmods.dev/badge/skills/felpix-studios/social-science-research/lit-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/felpix-studios/social-science-research/lit-review"><img src="https://agentmods.dev/badge/skills/felpix-studios/social-science-research/lit-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 | $0.00053 | $0.01914 |
| Opus 5 | $0.00026 | $0.00957 |
| Sonnet 5 | $0.00011 | $0.00383 |
| Haiku 4.5 | $0.00005 | $0.00191 |
Grade A, and why
lit-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 11d 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 — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Review
Conduct a systematic literature review using a parallel fleet of Librarian agents, each searching a different angle. Citation chains from anchor papers are the highest-yield search vector and always run when anchor papers are available.
Input: $ARGUMENTS — a topic, research question, or the title of a known key paper.
Step 1: Orient and Gather Context
- Read
quality_reports/project_spec_*.mdorquality_reports/research_*.mdif they exist — extract the research question and identification strategy. - Check
references/papers/— list any PDFs already on hand. - Read the project
.bibfile (Bibliography_base.bibor any.bibat project root) — extract paper titles and authors already known. - Read
references/domain-profile.mdif it exists — get the field's journal list and key researchers. - Identify anchor papers: the 1–3 most central known papers (from existing bib or supporting docs). These seed the citation chain search.
If references/domain-profile.md does not exist, use AskUserQuestion to determine the field:
- header: "Field"
- question: "What field is this research in? This determines which journals and repositories the librarian agents search."
- options:
- label: "Economics", description: "AER, QJE, Econometrica, JPE, ReStud + NBER/IZA"
- label: "Political Science", description: "APSR, AJPS, JOP, CPS, World Politics"
- label: "Sociology", description: "ASR, AJS, Social Forces, Demography"
- label: "Public Health", description: "NEJM, Lancet, JAMA, AJE"
Step 2: Assign Librarians
Dispatch 3–5 Librarian agents in parallel using Task. Each gets a specific search angle, the topic, and the anchor papers (if any).
Always dispatch (3 minimum):
Librarian 1 — Top Journals:
Task prompt: "You are a Librarian agent. Topic: [topic]. Search angle: Top Journals.
Field: [field from domain-profile or user answer].
Top journals to search: [list from domain-profile, or infer for field].
Anchor papers (for context only): [list].
Find the 8-12 most relevant published papers from the past 10 years.
For seminal papers, go back further. Follow the Librarian agent instructions."
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.
- 11d ago First seen · 200 lines · 53 tokens per session scan A 4425623ebc22
lit-review is a skill published in the GitHub repository Felpix-Studios/social-science-research (8 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 1,914 once invoked, about $0.0003 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 2026-08-31.
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