mlava

Audit a whole bibliography (BibTeX, RIS, or CSL-JSON) in one call — per-entry fabrication verdict and retraction status, plus a corpus summary.

Resolve scholarly identifiers (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS bibcode, WHO IRIS URL) into formatted citations (10,000+ CSL styles) and bibliography exports (BibTeX, RIS, EndNote, CSV…), and check retraction, open-access, and citation-fabrication status. Calls a documented REST API over plain HTTP — no install, no API key needed for the free tier.

Check whether a scholarly work is openly accessible and return the best legal free URL, license, and version (via Unpaywall).

Check whether a scholarly work has been retracted, corrected, or had an expression of concern raised (via Crossref + Retraction Watch).

Export resolved citations to a reference-manager file format (RIS, BibTeX, CSL JSON, EndNote XML, RefWorks, NBIB, Zotero RDF, CSV, or plain text).

Format one or more scholarly identifiers as citations in a chosen style (Vancouver, AMA, APA, IEEE, CSE, or any CSL style ID).

Resolve a scholarly identifier (DOI/PMID/PMCID/ISBN/ISSN/arXiv/ADS/WHO IRIS) to structured CSL JSON metadata.

Verify whether a claimed citation matches the actual paper at its identifier (detects the real-DOI/fake-title fabrication pattern common in LLM hallucinations).

Use the Agent Ready (agent-ready.dev) command-line client to scan any public URL for AI agent-readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests (MCP server cards, A2A, agents.json, agent-permissions.json, UCP, x402, NLWeb). Activates for "scan this site with the agent-ready CLI", "run agent-ready scan {URL} in the terminal", "agent-ready get {id}", "agent-ready list", "agent-ready ask {question}", or any time the user wants a one-command terminal scan with no fetch wiring and no MCP install. Pick this skill when the agent can run shell commands. For raw HTTP, use the `agent-ready-api` skill; for MCP-native tool calls, use `agent-ready-mcp`.

Install and use the Agent Ready (agent-ready.dev) MCP server to scan any URL for AI agent-readability via MCP tool calls. Activates for "install agent-ready mcp", "set up agent-ready in Claude Desktop / Cursor / Cline / Goose / Continue", "add agent-ready as an MCP tool", "scan this site via agent-ready", "run scan_site / get_scan / ask via MCP". Pick this skill when the user wants tool-native access to Agent Ready — no curl, no fetch wiring. For direct REST access without MCP, use the `agent-ready-api` skill instead.

Use the Agent Ready (agent-ready.dev) REST API to scan any public URL for AI agent-readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests (MCP server cards, A2A, agents.json, agent-permissions.json, UCP, x402, NLWeb). Activates for "scan this site for AI agent-readability", "run an Agent Ready scan on {URL}", "check the Agent Ready score for {URL}", "what's the agent-readability rating for {URL}", or any time the user wants a programmatic readability scan via HTTP. Picks this skill when the user does NOT have the Agent Ready MCP server installed — for MCP, use the `agent-ready-mcp` skill instead.

Resolve scholarly identifiers (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS bibcode, WHO IRIS URL) into formatted citations (10,000+ CSL styles) and bibliography exports (BibTeX, RIS, EndNote, CSV…), and check retraction, open-access, and citation-fabrication status — for one citation or a whole bibliography at once. Calls a documented REST API over plain HTTP — no install, no API key needed for the free tier. Use when the user has a DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, ADS bibcode, or WHO IRIS URL and asks to format a citation, build or export a bibliography, check whether a paper is retracted, open-access, or a fabricated citation, or audit every reference in a .bib/.ris/CSL-JSON bibliography.

Resolve scholarly identifiers (DOI, PMID, PMCID, ISBN, arXiv, ISSN, ADS bibcode, WHO IRIS URL) into formatted citations (10,000+ CSL styles) and bibliography exports (BibTeX, RIS, EndNote, CSV…), and check retraction, open-access, and citation-fabrication status — from the terminal via the `scholar` CLI. Wraps the public REST API; needs Node ≥20 but no API key for the free tier. Use when the user wants to look up, cite, export, or verify a reference by DOI, PMID, PMCID, ISBN, arXiv ID, ISSN, ADS bibcode, or WHO IRIS URL from the terminal — including retraction, open-access, and fabricated-citation checks, or a whole-bibliography audit of a .bib/.ris/CSL-JSON file.

Use the connected scholar-sidekick-mcp MCP server when the user mentions a scholarly identifier (DOI, PMID, PMCID, ISBN, arXiv, ISSN, NASA ADS bibcode, WHO IRIS URL) and wants structured metadata, a formatted citation, a bibliography export file, a retraction check, an open-access check, verification that a claimed citation is real (not fabricated), or a whole-bibliography audit (batch fabrication + retraction check). Requires the MCP server connected — it works anonymously, no API key required; for a zero-install path use the scholar-sidekick-api skill instead.

This skill should be used when the user mentions a scholarly identifier (DOI, PMID, PMCID, ISBN, arXiv, ISSN, NASA ADS bibcode, WHO IRIS URL) and wants structured metadata, a formatted citation, a bibliography export file, a retraction check, an open-access check, or verification that a claimed citation is real (not fabricated). Activates for citation formatting, BibTeX/RIS/EndNote export, "format this DOI" style requests, "has this paper been retracted?", "is this paper open access?", and "is this citation real / did you make this up?". Does not search for new papers — pair with a Semantic Scholar or OpenAlex MCP wrapper for that.

This skill should be used when the user wants to check how readable a website is to AI agents (ChatGPT, Claude, Perplexity, Google Gemini, MCP clients). Activates for "scan this site for AI readability", "check my llms.txt", "audit our agent-readability", "is my MCP server card valid", "what's our Vercel Agent Readability score", "fix my agents.json", and similar audit-style requests against a public URL. Does not edit the target site — pair with a code-editing MCP tool to apply the fixes the scanner surfaces.