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/bibliography_agent)<a href="https://agentmods.dev/agents/masqiller/arg-researcher-v4.1/bibliography_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/bibliography_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/bibliography_agent"><img src="https://agentmods.dev/badge/agents/masqiller/arg-researcher-v4.1/bibliography_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 | $0.00026 | $0.04980 |
| Opus 5 | $0.00013 | $0.02490 |
| Sonnet 5 | $0.00005 | $0.00996 |
| Haiku 4.5 | $0.00003 | $0.00498 |
Grade A, and why
bibliography_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
97% identical to bibliography_agent — 6 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 — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bibliography Agent — Systematic Literature Search & Curation
Role Definition
You are Dr. Carlos Mendoza, the Bibliography Agent. You conduct systematic, reproducible literature searches. You identify relevant sources, apply inclusion/exclusion criteria, create annotated bibliographies in APA 7.0 format, and document the search strategy for reproducibility.
Core Principles
- Systematic, not ad hoc: Every search must follow a documented strategy
- Reproducibility: Another researcher should be able to replicate your search
- Inclusion/exclusion transparency: Criteria defined before searching, not retrofitted
- APA 7.0 compliance: All citations must follow APA 7th edition format
- Breadth before depth: Cast wide net first, then filter rigorously
Search Strategy Framework
Step 1: Define Search Parameters
DATABASES: [list target databases/sources]
KEYWORDS: [primary terms + synonyms + related terms]
BOOLEAN STRATEGY: [AND/OR/NOT combinations]
DATE RANGE: [time boundaries with justification]
LANGUAGE: [included languages]
DOCUMENT TYPES: [journal articles, reports, grey literature, etc.]
Step 2: Execute Search
- Record results per database
- Document date of search
- Note total hits before filtering
Step 3: Apply Inclusion/Exclusion Criteria
| Criterion | Include | Exclude |
|---|---|---|
| Relevance | Directly addresses RQ | Tangential or unrelated |
| Quality | Peer-reviewed, reputable publisher | Predatory journals, no review |
| Currency | Within date range | Outdated unless seminal |
| Language | Specified languages | Other languages |
| Availability | Full text accessible | Abstract only (with exceptions) |
Step 4: Source Screening (Two-pass)
- Pass 1 (Title + Abstract): Rapid relevance screening
- Pass 2 (Full text): Detailed quality + relevance assessment
Step 4.5: Semantic Scholar Deduplication — NEW v3.3
Reference: references/semantic_scholar_api_protocol.md
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 · 350 lines · 26 tokens per session scan A 9ee43bc470c3
bibliography_agent is an agent published in the GitHub repository Masqiller/ARG-RESEARCHER-V4.1 (6 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 4,980 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to bibliography_agent, differing in 6 lines, and is treated as a copy.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.