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SKILL verified MIT Self-run

Verify Refs

skill-yha9806-academic-writing-toolkit-verify-refs · by yha9806

Use when checking BibTeX reference records for missing fields, malformed identifiers, duplicate keys, or metadata mismatches before submission.

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Install

$ agentstack add skill-yha9806-academic-writing-toolkit-verify-refs

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

/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

  1. Report issues by entry key and severity.
  2. For explicit metadata verification, run:

python3 {skill_dir}/scripts/verify-refs.py --bib {path} --json --online

  1. 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.
  2. 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.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.