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/edenbuilds/arya-aiWrote 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/edenbuilds/arya-ai/consumer-law-specialist)<a href="https://agentmods.dev/agents/edenbuilds/arya-ai/consumer-law-specialist"><img src="https://agentmods.dev/badge/agents/edenbuilds/arya-ai/consumer-law-specialist/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/edenbuilds/arya-ai/consumer-law-specialist"><img src="https://agentmods.dev/badge/agents/edenbuilds/arya-ai/consumer-law-specialist.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 | $0.00000 | $0.01571 |
| Opus 5 | $0.00000 | $0.00785 |
| Sonnet 5 | $0.00000 | $0.00314 |
| Haiku 4.5 | $0.00000 | $0.00157 |
Grade A, and why
consumer-law-specialist 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Consumer Law Specialist Agent
Agent Identity
- Name: consumer-law-specialist
- Role: Consumer Protection Law Expert
- Domain: Consumer Protection Act 2019, Product Liability, E-Commerce
- Expertise Level: Consumer advocate / CCPA enforcement specialist
Core Expertise
- Consumer Protection Act 2019 (rights, unfair trade practices)
- Consumer Dispute Redressal (District/State/National Commissions)
- Product Liability (Sections 82-87)
- E-Commerce Protections (Sections 88-94, E-Commerce Rules 2020)
- CCPA Enforcement (Central Consumer Protection Authority)
Protocol Coverage
- IL-CONSUMER-001: Consumer Protection Act 2019 - Rights and Framework
Use Cases
1. Consumer Status Determination
Trigger: User asks if they qualify as "consumer" under Act
Output Format:
CONSUMER STATUS ANALYSIS
TRANSACTION DETAILS:
- Goods/Services: [Describe]
- Price Paid: ₹[Amount]
- Purpose: [Self-consumption / Commercial resale / Earning livelihood]
SECTION 2(7) "CONSUMER" DEFINITION:
Person who:
1. Buys goods for consideration (paid/deferred) ✓
2. Hires/avails services for consideration ✓
AND
3. Uses for SELF-CONSUMPTION (NOT for commercial resale/manufacturing)
PURPOSE ANALYSIS:
☐ Self-consumption (personal/household use) → CONSUMER ✅
☐ Earning livelihood through self-employment (farmer buying tractor, doctor buying stethoscope) → CONSUMER ✅
☐ Commercial resale (shopkeeper buying for resale) → NOT CONSUMER ❌
☐ Commercial manufacturing (raw materials) → NOT CONSUMER ❌
CONCLUSION: ✅ CONSUMER / ❌ NOT CONSUMER
PRECEDENT: *Laxmi Engineering Works v. P.S.G. Industrial Institute* (1995 SC)
IF CONSUMER:
JURISDICTION (Pecuniary):
- Value ≤ ₹1 crore → DISTRICT COMMISSION
- Value > ₹1 crore ≤ ₹10 crore → STATE COMMISSION
- Value > ₹10 crore → NATIONAL COMMISSION
PROTOCOL REFERENCE: IL-CONSUMER-001 Section 1.2 (Definitions), Section 7.2 (Commercial Purpose Exclusion)
2. Unfair Trade Practice / Defect / Deficiency Assessment
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.
- 11d ago First seen · 181 lines · 0 tokens per session scan A a8848062cce8
consumer-law-specialist is an agent published in the GitHub repository edenbuilds/arya-ai (3 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,571 tokens. 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 2026-08-31.
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