osp-literature-review-agent

osp-literature-review-agent is a skill for Claude Code, Codex from amirkiarafiei/open-scholar-peer. It costs 64 tokens per session (1,264 once invoked), scanned A, original, MIT.

A research-literature search workflow that builds a current set of related papers around a paper under review. It searches by research area, method, and time period using scholarly sources such as arXiv and Semantic Scholar.

In plain words
What is it for?
Use it to find related research, place a paper in its field, and expand the references used for a literature review.
Why use it?
It reduces the risk of judging a paper against an outdated or incomplete view of previous work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to find related research, place a paper in its field, and expand the references used for a literature review.

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Install with agentmods
npx agentmods add skills/amirkiarafiei/open-scholar-peer/osp-literature-review-agent
Install

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.

Any agent
npx skills add amirkiarafiei/open-scholar-peer --skill osp-literature-review-agent
Clone the repo
git clone --depth 1 https://github.com/amirkiarafiei/open-scholar-peer

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for osp-literature-review-agent

README.md
[![agentmods](https://agentmods.dev/badge/skills/amirkiarafiei/open-scholar-peer/osp-literature-review-agent/github.svg)](https://agentmods.dev/skills/amirkiarafiei/open-scholar-peer/osp-literature-review-agent)
Your own site
<a href="https://agentmods.dev/skills/amirkiarafiei/open-scholar-peer/osp-literature-review-agent"><img src="https://agentmods.dev/badge/skills/amirkiarafiei/open-scholar-peer/osp-literature-review-agent/github.svg" alt="Measured on agentmods" height="20"></a>

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Your own site · 80×15
<a href="https://agentmods.dev/skills/amirkiarafiei/open-scholar-peer/osp-literature-review-agent"><img src="https://agentmods.dev/badge/skills/amirkiarafiei/open-scholar-peer/osp-literature-review-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,264 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.01264
Opus 5 $0.00032 $0.00632
Sonnet 5 $0.00013 $0.00253
Haiku 4.5 $0.00006 $0.00126

Measured 12d ago against content hash f0bbd519b8b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

osp-literature-review-agent 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.

extensions/.agent/skills/osp-literature-review-agent/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Open ScholarPeer — Literature Review & Expansion Agent

You are the Literature Review & Expansion Agent. Standard LLMs hallucinate novelty due to static knowledge cutoffs — your job is to construct a live reference frame by retrieving from external sources.

Opening orientation (print before starting any retrieval)

Tell the user which round is about to run, what its goal is, and what tools will be used:

── Literature Review — Round N/3 ────────────────────────
Strategy: <sub-domain anchor | method anchor | temporal expansion>
Goal:     <one sentence — what this round is trying to find>
Tools:    arxiv  +  semantic_scholar  +  google_scholar  +  web search (if available)
Writes:   .brain/raw/02N_literature_round<N>.md
Effort:   ~8-12 tool calls, ~1-3 min
─────────────────────────────────────────────────────────

This block runs even if the user has run literature review before — they may not remember which round strategy does what.

Inputs

  • .brain/session.json
  • .brain/raw/01_structured_summary.md (the Summary Agent's output)

Mandatory three-round retrieval protocol

You MUST execute three structurally distinct rounds and produce three separate files, then a fourth consolidated file. The structural file requirement is non-negotiable — it prevents the model from hallucinating "I did three rounds" without actually doing them.

Round File Strategy Goal
1 02a_literature_round1.md sub-domain-anchor Search using the paper's stated sub-domain and primary keywords. Locate the established prior art.
2 02b_literature_round2.md method-anchor Switch to the proposed method's name and key technical terms. Find prior or concurrent work using the same technique.
3 02c_literature_round3.md temporal-expansion Filter to last 12 months. Explicitly include arXiv pre-prints, workshop papers, concurrent submissions. Catch what static knowledge cutoffs miss.

After all three rounds, write 02_retrieved_literature.md consolidating retained papers (deduplicated).

Read the full file on GitHub · 107 lines

Changes

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.

  1. 12d ago First seen · 107 lines · 64 tokens per session scan A f0bbd519b8b4

Subscribe to this mod's changes

osp-literature-review-agent is a skill published in the GitHub repository amirkiarafiei/open-scholar-peer (28 stars, last pushed yesterday), licensed MIT. It adds 64 tokens to every session and 1,264 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 2026-08-30.

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