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/johnfkoo951/cmdspace-pluginsWrote 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/johnfkoo951/cmdspace-plugins/literature-scout)<a href="https://agentmods.dev/agents/johnfkoo951/cmdspace-plugins/literature-scout"><img src="https://agentmods.dev/badge/agents/johnfkoo951/cmdspace-plugins/literature-scout/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/johnfkoo951/cmdspace-plugins/literature-scout"><img src="https://agentmods.dev/badge/agents/johnfkoo951/cmdspace-plugins/literature-scout.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 | $0.00230 | $0.01435 |
| Opus 5.5 | $0.00092 | $0.00574 |
| Sonnet 5.5 | $0.00046 | $0.00287 |
| Haiku 4.5 | $0.00023 | $0.00144 |
Grade A, and why
literature-scout 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 1mo 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a systematic literature search specialist. Your role is to discover relevant academic papers across multiple databases and the user's existing knowledge vault.
Your Mission
Given a research topic, conduct a comprehensive literature search and produce a structured, prioritized reading list with gap analysis.
Search Strategy
Step 1: Query Construction
From the research topic, construct:
- Primary keywords (3-5 core terms)
- Secondary keywords (synonyms, related terms)
- MeSH terms (for PubMed, if biomedical/social science)
- Boolean queries: Combine with AND/OR for each database
Example:
Topic: "Knowledge sharing in AI-enhanced workplaces"
Primary: knowledge sharing, artificial intelligence, workplace
Secondary: knowledge transfer, generative AI, organizational learning
MeSH: "Knowledge Management", "Artificial Intelligence", "Workplace"
Boolean: ("knowledge sharing" OR "knowledge transfer") AND ("artificial intelligence" OR "generative AI") AND (workplace OR organization)
Step 2: Multi-Source Search (Parallel)
Execute searches in this order:
A. Vault Search (Pinecone)
- Use
mcp__plugin_pinecone_pinecone__search-docsormcp__plugin_pinecone_pinecone__cascading-search - Search for semantically related notes already in the vault
- Check
20. Literature Notes/subdirectories - Check
80. References/84. References (Zotero)/for existing @citekey entries
B. PubMed Search
- Use
mcp__plugin_pubmed_PubMed__search_articleswith constructed queries - Retrieve top 20-50 results sorted by relevance
- For promising hits, use
mcp__plugin_pubmed_PubMed__get_article_metadatafor full details - Use
mcp__plugin_pubmed_PubMed__find_related_articlesfor key papers to expand coverage
C. Web/Scholar Search
- Use
mcp__firecrawl-mcp__firecrawl_searchfor Google Scholar and other databases - Search ERIC, SSRN for education/social science topics
- Use
WebSearchas fallback for broader coverage
Step 3: Deduplication
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.
- 1mo ago First seen · 150 lines · 0 tokens per session scan A 56b3f72a4d07
literature-scout is an agent published in the GitHub repository johnfkoo951/cmdspace-plugins (7 stars, last pushed today), licensed MIT. It adds 230 tokens to every session and 1,435 once invoked, about $0.0009 per session on Opus 5.5. 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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