Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/AutoConference/AutoConference-skillnpx agentmods add skills/autoconference/autoconference-skill/research-litWrote 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/skills/autoconference/autoconference-skill/research-lit)<a href="https://agentmods.dev/skills/autoconference/autoconference-skill/research-lit"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/research-lit/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/skills/autoconference/autoconference-skill/research-lit"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/research-lit.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 | $0.00048 | $0.11714 |
| Opus 5.5 | $0.00019 | $0.04686 |
| Sonnet 5.5 | $0.00010 | $0.02343 |
| Haiku 4.5 | $0.00005 | $0.01171 |
Grade A, and why
research-lit 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.
This is a copy
100% identical to research-lit — 82 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 — 757 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Literature Review
Research topic: $ARGUMENTS
Constants
- PAPER_LIBRARY — Local directory containing user's paper collection (PDFs). Check these paths in order:
papers/in the current project directoryliterature/in the current project directory- Custom path specified by user in
CLAUDE.mdunder## Paper Library
- MAX_LOCAL_PAPERS = 20 — Maximum number of local PDFs to scan (read first 3 pages each). If more are found, prioritize by filename relevance to the topic.
- SOURCES =
all— Which literature sources to search. Options:zotero,obsidian,local,web,semantic-scholar,deepxiv,exa,gemini,openalex,all. Full source table and selection rules: see## Data Sourcesbelow. - ARXIV_DOWNLOAD = false — When
true, download top 3-5 most relevant arXiv PDFs to PAPER_LIBRARY after search. Whenfalse(default), only fetch metadata (title, abstract, authors) via arXiv API — no files are downloaded. - ARXIV_MAX_DOWNLOAD = 5 — Maximum number of PDFs to download when
ARXIV_DOWNLOAD = true.
💡 Overrides:
/research-lit "topic" — paper library: ~/my_papers/— custom local PDF path/research-lit "topic" — sources: zotero, local— only search Zotero + local PDFs/research-lit "topic" — sources: web— only search the web (skip all local)/research-lit "topic" — sources: web, semantic-scholar— also search Semantic Scholar for published venue papers (IEEE, ACM, etc.)/research-lit "topic" — sources: all, deepxiv— use default sources plus DeepXiv/research-lit "topic" — arxiv download: true— download top relevant arXiv PDFs/research-lit "topic" — arxiv download: true, max download: 10— download up to 10 PDFs
Data Sources
This skill checks multiple sources in priority order. All are optional — if a source is not configured or not requested, skip it silently.
Source Selection
Parse $ARGUMENTS for a — sources: directive:
- If
— sources:is specified: Only search the listed sources (comma-separated). Valid values:zotero,obsidian,local,web,semantic-scholar,deepxiv,exa,gemini,openalex,all. - If not specified: Default to
all— search every available source in priority order (semantic-scholar,deepxiv,exa,gemini, andopenalexare excluded fromall; they must be explicitly listed).
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 · 757 lines · 48 tokens per session scan A 00d9f549e4db
research-lit is a skill published in the GitHub repository AutoConference/AutoConference-skill (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 48 tokens to every session and 11,714 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to research-lit, differing in 82 lines, and is treated as a copy.
research-lit compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| research-litAutoConference/AutoConference-skill | Skill | 13 | 4d ago | Apache-2.0 | A | 48 | Claude Code |
| imagegenopenai/codex | Skill | 135k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 80k | 6d ago | MIT | A | 200 | Claude Code, Codex |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| chat-pet-sprite-creationmicrosoft/vscode | Skill | 195k | today | MIT | A | 53 | Claude Code, Codex |