skill-agentscope-ai-openjudge-bib-verify · by Install
$ agentstack add skill-agentscope-ai-openjudge-bib-verify ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-agentscope-ai-openjudge-bib-verify) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
BibTeX Verification Skill
Check every entry in a .bib file against real academic databases using the OpenJudge PaperReviewPipeline in BibTeX-only mode:
- Parse — extract all entries from the
.bibfile - Lookup — query CrossRef, arXiv, and DBLP for each reference
- Match — compare title, authors, year, and DOI
- Report — flag each entry as
verified,suspect, ornot_found
Prerequisites
pip install py-openjudge litellmGather from user before running
| Info | Required? | Notes | |------|-----------|-------| | BibTeX file path | Yes | .bib file to verify | | CrossRef email | No | Improves CrossRef API rate limits |
Quick start
# Verify a standalone .bib file
python -m cookbooks.paper_review --bib_only references.bib
# With CrossRef email for better rate limits
python -m cookbooks.paper_review --bib_only references.bib --email your@email.com
# Save report to a custom path
python -m cookbooks.paper_review --bib_only references.bib \
--email your@email.com --output bib_report.mdRelevant options
| Flag | Default | Description | |------|---------|-------------| | --bib_only | — | Path to .bib file (required for standalone verification) | | --email | — | CrossRef mailto — improves rate limits, recommended | | --output | auto | Output .md report path | | --language | en | Report language: en or zh |
Interpreting results
Each reference entry is assigned one of three statuses:
| Status | Meaning | |--------|---------| | verified | Found in CrossRef / arXiv / DBLP with matching fields | | suspect | Title or authors do not match any real paper — likely hallucinated or mis-cited | | not_found | No match in any database — treat as fabricated |
Field-level details are shown for suspect entries:
title_match— whether the title matches a real paperauthor_match— whether the author list matchesyear_match— whether the publication year is correctdoi_match— whether the DOI resolves to the right paper
Additional resources
- Full pipeline options: [../paper-review/reference.md](../paper-review/reference.md)
- Combined PDF review + BibTeX verification: [../paper-review/SKILL.md](../paper-review/SKILL.md)
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: agentscope-ai
- Source: agentscope-ai/OpenJudge
- License: Apache-2.0
- Homepage: https://openjudge.me/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.