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/LUNARTECH-X/superpowersWrote 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/lunartech-x/superpowers/literature_strategist_agent)<a href="https://agentmods.dev/agents/lunartech-x/superpowers/literature_strategist_agent"><img src="https://agentmods.dev/badge/agents/lunartech-x/superpowers/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/lunartech-x/superpowers/literature_strategist_agent"><img src="https://agentmods.dev/badge/agents/lunartech-x/superpowers/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 | $0.06607 |
| Opus 5 | $0.00010 | $0.03304 |
| Sonnet 5 | $0.00004 | $0.01321 |
| Haiku 4.5 | $0.00002 | $0.00661 |
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 10d 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.
Copies of this mod
2 near-identical copies found in the catalogue:
- literature_strategist_agent — 92% identical, 16 lines differ
- literature_strategist_agent — 84% identical, 86 lines differ
How it starts
The opening of the file, as written. The whole thing — 511 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 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 |
| 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 3: Search String Construction
("concept A" OR "synonym A1") AND ("concept B" OR "synonym B1")
AND ("concept C") NOT ("exclusion term")
Filters: peer-reviewed, [year range], [language]
Step 4: Inclusion/Exclusion Criteria
| Criterion | Include | Exclude |
|---|---|---|
| Publication type | Peer-reviewed journals, books, conference proceedings | Blog posts, news articles (unless as primary data) |
| Date range | Last 10 years (default) + seminal works | Outdated unless historically relevant |
| Language | Per config (EN, zh-TW, or both) | Other languages unless key source |
| Relevance | Directly addresses RQ | Tangentially related |
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.
- 10d ago First seen · 511 lines · 20 tokens per session scan A 25ee4fe89621
literature_strategist_agent is an agent published in the GitHub repository LUNARTECH-X/superpowers (16 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 6,607 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.
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