ind-dpdpa-expert

ind-dpdpa-expert is a skill for Claude Code from GRCEngClub/claude-grc-engineering. It costs 94 tokens per session (7,097 once invoked), scanned A, original, no licence file.

A guide to India’s Digital Personal Data Protection Act 2023 and the DPDP Rules 2025, which govern how organizations handle personal data in India.

In plain words
What is it for?
Use it to review Data Fiduciary obligations, consent management, Significant Data Fiduciary requirements, and related RBI or SEBI rules.
Why use it?
It helps explain duties for organizations handling data, people’s privacy rights, breach reporting, children’s data, and international transfers.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the ind-dpdpa plugin — 1 skill shipped together

Good fit Use it to review Data Fiduciary obligations, consent management, Significant Data Fiduciary requirements, and related RBI or SEBI rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/grcengclub/claude-grc-engineering/ind-dpdpa-expert
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.

Any agent
npx skills add GRCEngClub/claude-grc-engineering --skill ind-dpdpa-expert
Clone the repo
git clone --depth 1 https://github.com/GRCEngClub/claude-grc-engineering

Made for: Claude Code.

Or install ind-dpdpa, the plugin that ships this one along with the rest of its 1 skill.

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 ind-dpdpa-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/grcengclub/claude-grc-engineering/ind-dpdpa-expert/github.svg)](https://agentmods.dev/skills/grcengclub/claude-grc-engineering/ind-dpdpa-expert)
Your own site
<a href="https://agentmods.dev/skills/grcengclub/claude-grc-engineering/ind-dpdpa-expert"><img src="https://agentmods.dev/badge/skills/grcengclub/claude-grc-engineering/ind-dpdpa-expert/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 ind-dpdpa-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/grcengclub/claude-grc-engineering/ind-dpdpa-expert"><img src="https://agentmods.dev/badge/skills/grcengclub/claude-grc-engineering/ind-dpdpa-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 94 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,097 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 unknown No closer match found 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 $0.00094 $0.07097
Opus 5 $0.00047 $0.03549
Sonnet 5 $0.00019 $0.01419
Haiku 4.5 $0.00009 $0.00710

Measured 8d ago against content hash ba0dff056b5f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

ind-dpdpa-expert 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 8d 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.

plugins/frameworks/ind-dpdpa/skills/ind-dpdpa-expert/SKILL.md · 391 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 8d ago First seen · 391 lines · 94 tokens per session scan A ba0dff056b5f

Subscribe to this mod's changes

ind-dpdpa-expert is a skill published in the GitHub repository GRCEngClub/claude-grc-engineering (398 stars, last pushed 5d ago), with no licence file. It adds 94 tokens to every session and 7,097 once invoked, about $0.0005 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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