Replication Radar

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.

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).

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.

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.

无需输入参数。

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.

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.