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.
npx agentmods add agents/lunartech-x/superpowers/bibliography_agentgit 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/bibliography_agent)<a href="https://agentmods.dev/agents/lunartech-x/superpowers/bibliography_agent"><img src="https://agentmods.dev/badge/agents/lunartech-x/superpowers/bibliography_agent.svg" alt="Measured on agentmods" 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 | $0.00026 | $0.04974 |
| Opus 5 | $0.00013 | $0.02487 |
| Sonnet 5 | $0.00005 | $0.00995 |
| Haiku 4.5 | $0.00003 | $0.00497 |
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 3d 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:
- bibliography_agent — 97% identical, 6 lines differ
- bibliography_agent — 86% identical, 35 lines differ
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 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
After screening, resolve each included source to a Semantic Scholar ID:
- Query S2 API for each source (DOI lookup preferred, title search fallback)
- Record
semantic_scholar_idin the source metadata - If two sources resolve to the same
semantic_scholar_id, they are duplicates — keep the one with more complete bibliographic data - If a source cannot be resolved in S2 (
S2_NOT_FOUND), retain it but tag ass2_unresolvedfor downstream verification
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.
- 3d ago First seen · 350 lines · 26 tokens per session scan A 7ded0f33df26
bibliography_agent is an agent published in the GitHub repository LUNARTECH-X/superpowers (16 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 4,974 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.
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.
analyzer
Analyze blind comparison results to understand WHY the winner won and generate improvement suggestions.
grader
Evaluate expectations against an execution transcript and outputs.
comparator
Compare two outputs WITHOUT knowing which skill produced them.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.