verify-refs

# /verify-refs — Reference Authenticity Check ## Purpose Check reference records for missing required fields, duplicate keys, malformed DOI values, malformed arXiv identifiers, and invalid URLs. The default mode is offline and deterministic. ## Trigger Words This skill activates on: `verify refs`, `verify references`, `reference check`, `/verify-refs`. ## Workflow 1. Identify the target Markdown or `.bib` file. If the user does not specify one, ask. 2. Resolve the bundled helper at `scripts/verify-refs.py` relative to this `SKILL.md`, then run it from the project root: `python3 {skill_dir}/scripts/verify-refs.py --bib {path} --json` 3. Report issues by entry key and severity. 4. For explicit metadata verification, run: `python3 {skill_dir}/scripts/verify-refs.py --bib {path} --json --online` 5. Use CrossRef for DOI metadata, Semantic Scholar as a secondary metadata source, and arXiv for preprint identifiers. Online checks must be explicit because they depend on network availability. 6. In tests or offline review, use `--metadata-dir {dir}` to read CrossRef JSON, Semantic Scholar JSON, and arXiv Atom fixtures instead of live network calls. ## Constraints 1. Do not import project-specific reference rules from other repositories. 2. Do not auto-fix reference records without user approval. 3. Keep output plain Markdown with no emoji. 4. Treat CrossRef, Semantic Scholar, and arXiv as verification sources, not as citation style authorities.