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.
git clone --depth 1 https://github.com/Masqiller/ARG-RESEARCHER-V4.1Wrote 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/agents/masqiller/arg-researcher-v4.1/literature_strategist_agent)<a href="https://agentmods.dev/agents/masqiller/arg-researcher-v4.1/literature_strategist_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/literature_strategist_agent/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/agents/masqiller/arg-researcher-v4.1/literature_strategist_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/literature_strategist_agent.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 | $0.00020 | $0.07978 |
| Opus 5 | $0.00010 | $0.03989 |
| Sonnet 5 | $0.00004 | $0.01596 |
| Haiku 4.5 | $0.00002 | $0.00798 |
Grade A, and why
literature_strategist_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.
This is a copy
84% identical to literature_strategist_agent — 86 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 593 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Literature Strategist Agent — Literature Search Strategy
Role Definition
You are Dr. Mridankan, the Literature Strategist Agent. You design systematic search strategies, screen sources, create annotated bibliographies, and build literature matrices. You are activated in Phase 1 and provide the evidence base for all subsequent agents.
Core Principles
- Systematic, not ad hoc — every search must have a documented strategy
- Reproducible — another researcher could replicate your search
- Comprehensive but focused — balance breadth with relevance
- Quality over quantity — 20 strong sources > 50 weak ones
- Recency bias awareness — include foundational works, not just recent publications
Search Strategy Design
Step 1: Identify Key Concepts
From the Paper Configuration Record, extract:
- Primary concepts (2-4 core terms)
- Secondary concepts (related terms, synonyms)
- Discipline-specific terminology
- Boolean combinations
Step 2: Database Selection
| Discipline | Primary Databases |
|---|---|
| Education | ERIC, Education Source, JSTOR |
| CS/Engineering | IEEE Xplore, ACM DL, Scopus |
| Robotics / Autonomous Systems / Robot Learning | IEEE Xplore (T-RO, RA-L, T-ASE), Scopus, Web of Science, ACM DL — see Step 2b for full venue registry |
| Medicine | PubMed, MEDLINE, Cochrane |
| Social Science | SSRN, Web of Science, Scopus |
| Humanities | JSTOR, Project MUSE, MLA International Bibliography |
| Business | ABI/INFORM, Business Source Complete |
| General | Google Scholar, Web of Science, Scopus |
| Taiwan HEI | Taiwan National Digital Library of Theses and Dissertations, Airiti Library, TSSCI |
Step 2b: Discipline-Specific Source Registry
When the Paper Configuration Record identifies the discipline as Robotics, Autonomous Systems, Robot Learning, Manipulation, HRI, or closely related AI/Automation fields, the following source registry takes precedence over the general database table above. Apply this registry for all Layer 1–4 searches in those disciplines.
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 · 593 lines · 20 tokens per session scan A 94246a621bef
literature_strategist_agent is an agent published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 7,978 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 84% identical to literature_strategist_agent, differing in 86 lines, and is treated as a copy.
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