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 | $0.01569 |
| Opus 5.5 | $0.00017 | $0.00628 |
| Sonnet 5.5 | $0.00008 | $0.00314 |
| Haiku 4.5 | $0.00004 | $0.00157 |
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 1mo 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.
- 1mo ago Changed f9d47e00b777
- 1mo 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 (78 stars, last pushed 4d ago), licensed MIT. It adds 42 tokens to every session and 1,569 once invoked, about $0.0002 per session on Opus 5.5. 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
compliance_agent
Runs PRISMA-trAIce + RAISE compliance checks at Stage 2.5 / 4.5 integrity gates and emits Schema 12 compliancereport.
lex-legal
Use this agent when dealing with legal and compliance activities. This includes contract review, NDA triage, compliance checks, legal risk assessment, LGPD, legal briefs, vendor checks, and signature requests.\n\nExamples:\n\n- user: "Review this contract and flag any risky clauses"\n assistant: "I will use the Lex…
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.