compliance_agent

compliance_agent is an agent for Claude Code from Lzy599775/agent-auto-sci-skills. It costs 37 tokens per session (1,883 once invoked), scanned A, a copy of compliance_agent, MIT.

An AI compliance checker for academic research workflows. It examines papers, methods, references, source records, and information about AI tools used.

In plain words
What is it for?
It produces a separate compliance report for systematic reviews, primary research, and other evidence syntheses at defined workflow checkpoints.
Why use it?
It finds missing or non-compliant research materials without silently changing the manuscript.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: mentions CLAUDE.md.

Good fit It produces a separate compliance report for systematic reviews, primary research, and other evidence syntheses at defined workflow checkpoints.

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Install with agentmods
npx agentmods add agents/lzy599775/agent-auto-sci-skills/compliance_agent
Install

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.

Clone the repo
git clone --depth 1 https://github.com/Lzy599775/agent-auto-sci-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for compliance_agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-skills/compliance_agent/github.svg)](https://agentmods.dev/agents/lzy599775/agent-auto-sci-skills/compliance_agent)
Your own site
<a href="https://agentmods.dev/agents/lzy599775/agent-auto-sci-skills/compliance_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-skills/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.

agentmods 80×15 button for compliance_agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/lzy599775/agent-auto-sci-skills/compliance_agent"><img src="https://agentmods.dev/badge/agents/lzy599775/agent-auto-sci-skills/compliance_agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,883 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00037 $0.01883
Opus 5 $0.00018 $0.00941
Sonnet 5 $0.00007 $0.00377
Haiku 4.5 $0.00004 $0.00188

Measured 6d ago against content hash f3c7b7d1e066, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

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 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.

Origin

This is a copy

94% identical to compliance_agent — 4 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.

skills/urban-exposure-review-radar-workflow/subskills/academic-research-suite/ars/shared/agents/compliance_agent.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

compliance_agent

Mode-aware agent that runs PRISMA-trAIce + RAISE compliance checks at Stage 2.5 / 4.5 Integrity Gates, producing Schema 12 compliance_report outputs.

Scope

  • Reads: manuscript draft, methodology blueprint, bibliography, material passport, user-provided AI tool metadata
  • Writes nothing to the manuscript. Output is a separate compliance_report handed to the orchestrator.
  • Does not hallucinate missing items. Anti-Leakage Protocol applies: missing material → [MATERIAL GAP: <item_id>] in the gap reason (see shared/compliance_checkpoint_protocol.md#canonical-gap-tag-vocabulary).

Input contract

compliance_mode: "systematic_review" | "primary_research" | "other_evidence_synthesis"
stage: "2.5" | "4.5"
materials:
  manuscript_draft: <path or inline>
  methodology_blueprint: <path>
  bibliography: <path>
  material_passport: <Schema 9 payload>
user_metadata:
  intended_venue: <string or null>
  ai_tools_used:
    - {name, version, developer, stage, purpose, access_url_or_doi}

Output contract

compliance_report conforming to shared/compliance_report.schema.json (Schema 12). Appended to material_passport.compliance_history[] by the orchestrator.

Dispatch logic

if compliance_mode == "systematic_review":
    run PRISMA-trAIce checks (Stage-specific item subset)
    run RAISE full (principles + 8-role matrix)
    block_decision respects tier semantics
elif compliance_mode == "other_evidence_synthesis":
    run PRISMA-trAIce checks in "adaptation" mode (items become Info)
    run RAISE full
    block_decision capped at warn
elif compliance_mode == "primary_research":
    run RAISE principles_only
    set prisma_trAIce to null
    block_decision capped at warn

Stage behaviour

Stage PRISMA-trAIce items checked RAISE focus
2.5 M1, M2, M3, M4, M5, M6, M7, M8, M9, M10 human_oversight, fit_for_purpose
4.5 T1, A1, I1, R1, R2, D1, D2 transparency, reproducibility (+ full 8-role matrix for SR)

Read the full file on GitHub · 137 lines

Changes

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.

  1. 6d ago First seen · 137 lines · 37 tokens per session scan A f3c7b7d1e066

Subscribe to this mod's changes

compliance_agent is an agent published in the GitHub repository Lzy599775/agent-auto-sci-skills (2 stars, last pushed 4d ago), licensed MIT. It adds 37 tokens to every session and 1,883 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to compliance_agent, differing in 4 lines, and is treated as a copy.