Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add agentscope-ai/OpenJudge --skill bib-verifygit clone --depth 1 https://github.com/agentscope-ai/OpenJudgeWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agentscope-ai/openjudge/bib-verify)<a href="https://agentmods.dev/skills/agentscope-ai/openjudge/bib-verify"><img src="https://agentmods.dev/badge/skills/agentscope-ai/openjudge/bib-verify/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agentscope-ai/openjudge/bib-verify"><img src="https://agentmods.dev/badge/skills/agentscope-ai/openjudge/bib-verify.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00088 | $0.00681 |
| Opus 5 | $0.00044 | $0.00341 |
| Sonnet 5 | $0.00018 | $0.00136 |
| Haiku 4.5 | $0.00009 | $0.00068 |
Grade A, and why
bib-verify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 litellm
Gather 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 [email protected]
# Save report to a custom path
python -m cookbooks.paper_review --bib_only references.bib \
--email [email protected] --output bib_report.md
Relevant 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
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 78 lines · 88 tokens per session scan A a2969b61a017
bib-verify is a skill published in the GitHub repository agentscope-ai/OpenJudge (820 stars, last pushed 2d ago), licensed Apache-2.0. It adds 88 tokens to every session and 681 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
tinker-fine-tuning
Provides guidance for fine-tuning LLMs using the Tinker cloud training API from Thinking Machines Lab. Use when running supervised fine-tuning, reinforcement learning (GRPO/PPO), or LoRA training on cloud GPUs via Tinker's managed infrastructure instead of local compute.
llm-as-judge-evaluation
Evaluate LLM outputs using frontier models as judges. Use for pairwise model comparison, quality scoring with custom rubrics, and automated evaluation pipelines. Covers position bias mitigation, statistical significance, and generating preference data for DPO/RLHF.
langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
ceo-setup
One-time onboarding for the executive/manager commitment workflow — delegation-heavy, meeting prep, decision capture, morning and evening digests. Creates a commitments project and installs two dashboard widgets. After successful setup this skill is excluded from selection until the marker file is deleted.
developer-setup
One-time onboarding for the developer workflow — installs github-workflow missions, creates the commitments workspace, registers per-repo projects, writes calibration memories. After successful setup this skill is excluded from selection until the marker file is deleted.
code-review
Paranoid architect review of code changes for bugs, security, missing tests, and undocumented assumptions. Works on local git diffs OR a GitHub pull request (e.g. owner/repo N). For PRs, can post findings as line-level review comments.