Replication Radar

Where to find a DATASET (with a citable DOI) to replicate with. The replication-radar MCP does NOT search datasets itself — that is the OpenAIRE MCP's job. Call this when the user asks the Radar to find data/a dataset: it returns instructions to use the OpenAIRE MCP's dataset search and how to cite the result by DOI. Do not answer 'I can't search datasets' — hand off to the OpenAIRE MCP as described here.

Reusable method software for *replicating* a claim — engines NOT authored by the original paper's team (author-disjoint), ranked by reuse signal — a resolvable code repository + Software Heritage archival + downloads + GitHub stars (the signal that separates an established tool from a one-off study repo) — not citations. Each result carries its `stars` and `rank_score`. Pass the original paper's DOI (authors are looked up) and a short topic; keep the topic broad (a narrow one can miss an established tool whose OpenAIRE record doesn't contain the extra words).

Impact-ranked replication targets in a research field. Returns high-impact OpenAIRE papers worth replicating, each flagged OPEN (opportunity) or VERIFIED (already checked by a Science Live replication, with the verdict), each with its `abstract` (markup stripped — read it or extract the paper's atomic claim), plus independent reusable tooling. Keep `topic` short (2-3 words); OpenAIRE free-text terms are AND-ed.

Has this DOI been independently replicated, and did it hold? Returns every Science Live verdict — pulled LIVE from the nanopub network, any signer (author-agnostic) — with the validation status, CiTO relation, the replication's repository, and links to the signed Outcome/CiTO nanopubs. 'open' if not replicated. This is the reliability signal the OpenAIRE Graph structurally cannot hold. Also returns: - `agreement`: how the independent verdicts agree — pattern is one of robustly_validated / validated / qualified (partial support only) / inconclusive / contested / refuted, with confirm/partial/contradicted counts (so you can say *how robustly* it held, not just that it did). Never "validated" without a confirmation. - `claims`: the exact FORRT claim(s) that were replicated — each an atomic AIDA statement plus its claim type (descriptive pattern, statistical significance, …). - the paper's `title` and `abstract` (from OpenAIRE, markup stripped), so you can read it or extract/compare the atomic claim yourself.

The FORRT replication template — how to actually DO a replication and publish its signed Science Live nanopublication chain (the 'produce' half of the loop; radar / replication_status / find_independent_software only DISCOVER). Call this whenever the user wants to start, scaffold, or set up a replication, or asks for "the FORRT replication template". Returns the GitHub template repo (https://github.com/ScienceLiveHub/forrt-replication-template), the 'Use this template' link, what the scaffold provides (pixi + Snakemake pipeline, paper/, nanopubs/, tests, RO-Crate), and the end-to-end workflow: generate a repo from the template -> replicate with INDEPENDENT data/method -> Zenodo release -> sign + publish the FORRT nanopub chain (Quote -> Claim -> Study -> Outcome -> CiTO). Pass the target `doi` and/or a short `topic` and it suggests a GitHub repo name (`<topic>-replication`); pass `owner` (your GitHub user/org) to check the candidates for availability and pick a free name. It also returns a `quickstart.create_repo` command (`gh repo create … --template … --clone`) the agent can run to create+clone the repo straight from the discovery session. Pass the `dataset` and `software` you settled on and it also returns a `handoff` (DISCOVERY.md) to write into the new repo — `gh repo create` copies a BLANK template, so without this the fresh in-repo session loses the paper/dataset/software you chose. Then the user opens a fresh agent session inside the repo to run the replication.

List every claim the nanopub network holds a Science Live replication verdict for (author-agnostic, network-wide) — the verified-knowledge corpus that overlays the OpenAIRE Graph by DOI. Each entry: doi, distinct verdicts, number of replications.