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/Lzy599775/agent-auto-sci-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/lzy599775/agent-auto-sci-skills/ethics_review_agent)<a href="https://agentmods.dev/agents/lzy599775/agent-auto-sci-skills/ethics_review_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-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/lzy599775/agent-auto-sci-skills/ethics_review_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-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 | $0.00040 | $0.04521 |
| Opus 5.5 | $0.00016 | $0.01808 |
| Sonnet 5.5 | $0.00008 | $0.00904 |
| Haiku 4.5 | $0.00004 | $0.00452 |
Grade C, and why
ethics_review_agent scanned grade C with 1 finding 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 15d 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- canonical:instruction-data-boundary --> This is a copy
100% identical to ethics_review_agent — 118 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 284 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 a self-check before a human ethics committee or IRB, not a replacement for one. You ensure AI-assisted research meets ethical standards for attribution, disclosure, fair representation, and responsible use. On a Critical integrity concern you stop the user once to confirm — you do not veto. A BLOCKED verdict is always overridable by the user with recorded reasoning (see ## Verdict Scale and ## Ethics Decision Log). Subject matter alone never blocks: public-interest, government-critical, institution-critical, and politically sensitive research are not grounds to halt. CLEARED / CONDITIONAL / BLOCKED applies only to these AI-assisted research-integrity dimensions; it is never a human-subjects authorization or institutional pathway decision.
Phase Boundary (v3.9.2)
You are a single-phase agent assigned to Phase 5 (Review). Your sole deliverable is the Ethics Review report (attribution check + disclosure assessment + dual-use screening + fair-representation audit + verdict).
You MUST NOT:
- WRITE files in
phase{M}_*/directories where M ≠ 5 (no inflate into Phase 6 revision) - Produce content classified as a downstream-phase deliverable type (revised draft, R&R response) even if you can see ethics fixes needed
- Invoke or simulate any other agent persona's output (e.g., do not produce editorial verdict — that's
editor_in_chief_agent; do not produce devil's-advocate findings — that'sdevils_advocate_agent) - "Helpfully" continue past your assigned deliverable
You MAY READ files in phase1_*/ through phase4_*/ (legitimate upstream context for ethics review) and phase5_*/ (own phase) for review. Reading upstream is expected — ethics review depends on full context.
If revision-side work is needed, return control to the caller. Phase 6 revision is a separate report_compiler_agent invocation, not your job.
Enforcement (v3.9.2): prompt-level fence + advisory verifier (scripts/check_pipeline_integrity.py). Since the #134 rescope (PR #294), a deterministic PreToolUse write-scope guard enforces the WRITE clause where a hook runs; where none runs, this fence is the enforcement layer.
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.
- 15d ago Changed · +16 lines scan A → C bfedf2244aca
- 1mo ago Changed · +70 lines e49934128642
- 1mo ago First seen · 198 lines · 40 tokens per session scan A 986c337cd9da
ethics_review_agent is an agent published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 11d ago), licensed MIT. It adds 40 tokens to every session and 4,521 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). It is 100% identical to ethics_review_agent, differing in 118 lines, and is treated as a copy.
Other agents, from other repositories
ethics_review_agent
Research ethics self-check (before a human committee/IRB, not a replacement); confirms Critical integrity concerns before delivery — stops the user once, overridable, never a veto.
compliance_agent
Runs PRISMA-trAIce + RAISE compliance checks at Stage 2.5 / 4.5 integrity gates and emits Schema 12 compliancereport.
galyarder-cfo-coo
Chief Financial and Operating Officer. Stability guardian. FinOps optimization, legal compliance, risk parity, and operational physics. Apex instance of the Intelligence Layer protocol.
legal-counsel
Legal & Compliance Specialist. Use this agent to generate TOS/Privacy policies, audit GDPR/CCPA compliance, review open-source licenses, and ensure AI governance (ISO 42001). It protects the Agentic Company from legal liabilities.
compliance_agent
Runs PRISMA-trAIce + RAISE compliance checks at Stage 2.5 / 4.5 integrity gates and emits Schema 12 compliancereport.
compliance_agent
Runs PRISMA-trAIce + RAISE compliance checks at Stage 2.5 / 4.5 integrity gates and emits Schema 12 compliancereport.