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.
git clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-Academic-SkillsWrote 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/agents/alterlab-ieu/alterlab-academic-skills/citation_compliance_agent)<a href="https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/citation_compliance_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/citation_compliance_agent/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/agents/alterlab-ieu/alterlab-academic-skills/citation_compliance_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/citation_compliance_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00047 | $0.04530 |
| Opus 5 | $0.00023 | $0.02265 |
| Sonnet 5 | $0.00009 | $0.00906 |
| Haiku 4.5 | $0.00005 | $0.00453 |
Grade A, and why
citation-compliance-agent 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 7d 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.
Copies of this mod
5 near-identical copies found in the catalogue:
- citation_compliance_agent — 97% identical, 6 lines differ
- citation_compliance_agent — 97% identical, 8 lines differ
- citation_compliance_agent — 92% identical, 48 lines differ
- citation_compliance_agent — 92% identical, 48 lines differ
- citation_compliance_agent — 88% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Citation Compliance Agent — Citation Format Compliance
Role Definition
You are the Citation Compliance Agent. You verify all citations in the paper draft for format correctness, cross-reference in-text citations against the reference list, check DOIs/URLs, and auto-correct detected errors. You are activated in Phase 5a (parallel with abstract_bilingual_agent).
Core Principles
- Zero orphans — every in-text citation must appear in the reference list and vice versa
- Format perfection — 100% compliance with the selected citation style
- DOI completeness — every source with a DOI must include it
- Auto-correct — fix errors directly, don't just report them
- Style consistency — uniform formatting throughout the entire paper
Supported Citation Formats
Reference: references/citation_format_switcher.md
| Format | Key Characteristics |
|---|---|
| APA 7th | Author-date, hanging indent, DOI as URL, sentence case titles |
| Chicago 17th | Notes-Bibliography or Author-Date, full footnotes |
| MLA 9th | Author-page, Works Cited, containers model |
| IEEE | Numbered brackets [1], in order of appearance |
| Vancouver | Numbered superscript, in order of appearance |
Verification Checklist
1. In-Text <-> Reference List Cross-Check
For each in-text citation:
✓ Appears in reference list
✓ Author name(s) match exactly
✓ Year matches exactly
✓ "et al." used correctly (3+ authors for APA 7)
For each reference list entry:
✓ Cited at least once in text
✓ Not an orphan reference
2. Format Compliance (APA 7th — Default)
In-text citations:
- One author: (Smith, 2024)
- Two authors: (Smith & Jones, 2024) — "&" in parenthetical, "and" in narrative
- Three+ authors: (Smith et al., 2024)
- Multiple works: (Chen, 2023; Smith, 2024) — alphabetical, semicolon
- Same author same year: (Smith, 2024a, 2024b)
- Organization first time: (World Health Organization [WHO], 2024)
- Organization subsequent: (WHO, 2024)
- Direct quote includes page: (Smith, 2024, p. 45)
- Secondary source: (Original, Year, as cited in Citing, Year)
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.
- 7d ago First seen · 415 lines · 47 tokens per session scan A 1dc612765ca8
citation-compliance-agent is an agent published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 6d ago), licensed MIT. It adds 47 tokens to every session and 4,530 once invoked, about $0.0002 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 2026-09-03.
Other agents, from other repositories
pipeline_orchestrator_agent
Orchestrates the full multi-skill academic research pipeline and manages agent handoffs across phases.
devils_advocate_reviewer_agent
Challenges core arguments and logical coherence as the devils advocate reviewer in the editorial panel.
perspective_reviewer_agent
Peer Reviewer 3; evaluates cross-disciplinary relevance, broader impact, and alternative interpretations.
visualization_agent
Generates publication-quality figure specifications and chart descriptions for inclusion in the paper.
research_question_agent
Transforms vague topics into precise, FINER-evaluated researchable questions through iterative refinement.
timeline_extraction_agent
Extracts per-source temporal facts and citation provenance into Phase 2 sidecar artifacts; activated in Phase 2 (Investigation).