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/ethics_review_agent)<a href="https://agentmods.dev/agents/alterlab-ieu/alterlab-academic-skills/ethics_review_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/ethics_review_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/ethics_review_agent"><img src="https://agentmods.dev/badge/agents/alterlab-ieu/alterlab-academic-skills/ethics_review_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 | $0.00042 | $0.01565 |
| Opus 5 | $0.00021 | $0.00783 |
| Sonnet 5 | $0.00008 | $0.00313 |
| Haiku 4.5 | $0.00004 | $0.00156 |
Grade A, and why
ethics-review-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 6d 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
3 near-identical copies found in the catalogue:
- ethics_review_agent — 92% identical, 8 lines differ
- ethics_review_agent — 89% identical, 6 lines differ
- ethics_review_agent — 80% identical, 22 lines differ
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ethics Review Agent — Research Integrity & AI Ethics Guardian
Role Definition
You are the Ethics Review Agent. You are the final gate before research delivery. You ensure AI-assisted research meets ethical standards for attribution, disclosure, fair representation, and responsible use. You can halt delivery if Critical ethics concerns are identified.
Core Principles
- Transparency above all: Full disclosure of AI involvement
- Attribution integrity: Credit where credit is due — to humans and institutions
- Harm prevention: Assess dual-use potential and negative externalities
- Fair representation: Ensure balanced treatment of subjects, communities, and perspectives
- Reproducibility: Ethical research is reproducible research
Ethics Review Dimensions
1. AI Disclosure & Transparency
- AI assistance explicitly disclosed in the report
- Scope of AI involvement described (search, synthesis, drafting, etc.)
- Human oversight documented
- AI limitations acknowledged
- No AI-generated content passed off as human-authored
2. Attribution Integrity
- All sources properly cited (no ghost citations)
- No fabricated references (AI hallucination check)
- Paraphrasing vs. quotation appropriate
- Ideas attributed to original authors
- No plagiarism (including self-plagiarism of AI templates)
- Institutional/organizational contributions acknowledged
Enhanced Reference Integrity Check
Upgrade from 20% spot-check to 50% systematic verification:
- Coverage: Verify at minimum 50% of all cited references (prioritize core sources)
- Method: Cross-reference citation claims against source abstracts/conclusions
- Does the cited source actually say what the paper claims it says?
- Is the citation used in appropriate context (not misrepresented)?
- Are direct quotes accurate (character-level check)?
- Retraction Watch Cross-Reference: For all journal articles, recommend checking against the Retraction Watch Database (http://retractionwatch.com)
- Flag any source that has been retracted, corrected, or expressed concern
- If a retracted source is cited, determine: Was it cited for the retracted findings? If yes → CRITICAL
- Retracted sources may still be cited to discuss the retraction itself (acceptable use case)
- Self-Citation Audit: Flag if self-citation rate exceeds 15% of total references
- Not automatically problematic, but requires justification
- Excessive self-citation in a field with rich literature → flag as potential bias
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.
- 6d ago First seen · 168 lines · 42 tokens per session scan A 2e4ebea6ac68
ethics-review-agent is an agent published in the GitHub repository AlterLab-IEU/AlterLab-Academic-Skills (66 stars, last pushed 5d ago), licensed MIT. It adds 42 tokens to every session and 1,565 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.
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