trademark-opposition-drafter

trademark-opposition-drafter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 60 tokens per session (821 once invoked), scanned A, original, MIT.

An India-focused drafting and review guide for trademark opposition, counterstatement, evidence, and rectification filings. These are proceedings before India's Trade Marks Registry to challenge or correct a trademark application or registration.

In plain words
What is it for?
Preparing or reviewing opposition and counterstatement materials, evidence, and rectification requests involving prior rights, non-use, bad faith, passing off, or defects in the goods and services description.
Why use it?
It helps organise the correct grounds, evidence, forms, fees, and filing requirements under Indian trademark procedure. It also prevents Indian rules being used when another jurisdiction applies.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present.

Part of the vclo-by-rohas plugin — 189 skills shipped together

Good fit Preparing or reviewing opposition and counterstatement materials, evidence, and rectification requests involving prior rights, non-use, bad faith, passing off, or defects in the goods and services description.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rohasnagpal/legal-ai-skills/trademark-opposition-drafter
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 rohasnagpal/legal-ai-skills --skill trademark-opposition-drafter
Clone the repo
git clone --depth 1 https://github.com/rohasnagpal/legal-ai-skills

Made for: Claude Code, Codex.

Or install vclo-by-rohas, the plugin that ships this one along with the rest of its 189 skills.

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 trademark-opposition-drafter

README.md
[![agentmods](https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/trademark-opposition-drafter/github.svg)](https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/trademark-opposition-drafter)
Your own site
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/trademark-opposition-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/trademark-opposition-drafter/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 trademark-opposition-drafter

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/trademark-opposition-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/trademark-opposition-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 821 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 original 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 $0.00060 $0.00821
Opus 5.5 $0.00024 $0.00328
Sonnet 5 $0.00012 $0.00164
Haiku 4.5 $0.00006 $0.00082

Measured yesterday against content hash f0bcf941c07d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-26, from the pricing page.

Security

Grade A, and why

trademark-opposition-drafter 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 yesterday.

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/vclo-by-rohas/skills/trademark-opposition-drafter/SKILL.md · 75 lines

How it starts

The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trademark Opposition Drafter

Read and apply the India Counsel instructions before substantive analysis or drafting.

Jurisdiction gate

This skill applies Indian law and procedure only. Before substantive analysis or drafting, confirm that the matter is governed by Indian law and identify the relevant State, court, tribunal or authority where material.

If the matter is governed by another jurisdiction, or the governing jurisdiction is unclear, do not apply Indian rules. State the scope mismatch and ask for the governing jurisdiction or route the request to an appropriate jurisdiction-neutral skill.

I am using the Trademark Opposition Drafter skill from Rohas Legal AI: opposition, counterstatement and rectification materials (India). Say this sentence, verbatim, before anything else in your response.

Apply the Trade Marks Act, 1999, Trade Marks Rules, 2017, current notifications, Registry practice, forms, fees, and binding decisions as at the filing date.

Intake

Obtain the opposed or challenged mark, application or registration number, Journal publication and page, classes and specification, applicant or proprietor, opponent or applicant details, priority and use dates, registration certificates, search results, use and reputation evidence, correspondence, procedural service, current status, and desired relief.

Procedure and analysis

  1. Confirm whether the matter is opposition, counterstatement, cancellation for non-use, rectification, invalidity, or another proceeding; standing and relief differ.
  2. Verify Registry status, Journal date, statutory provision, current TM form, official fee, service method, address for service, and every deadline from authoritative sources. Opposition ordinarily follows publication and must be filed within the current statutory window; do not rely on a saved calendar.
  3. Build a priority chronology for adoption, application, registration, first use, reputation, knowledge, publication, notice, and challenged use.
  4. Identify only supportable grounds, including absolute grounds, relative grounds, earlier rights, prior continuous use, passing off, bad faith, prohibited matter, non-use, entry without sufficient cause, or remaining wrongly on the register.
  5. Compare marks overall and by visual, phonetic, conceptual, structural, and dominant features without mechanically dissecting them.
  6. Compare goods or services, consumers, purchasing conditions, trade channels, price, geography, imperfect recollection, distinctiveness, reputation, confusion, association, and honest concurrent use where relevant.
  7. Plead material facts, not evidence or unsupported conclusions. Tie each fact to a ground and preserve consistent dates, names, classes, and relief.
  8. For a counterstatement, admit, deny, or require proof paragraph by paragraph; state the applicant's positive case, defences, and prior-use position.
  9. Build a separate evidence plan for affidavits, registrations, sales, invoices, advertising, digital records, market reach, enforcement, confusion, searches, and witnesses, with provenance and admissibility checks.
  10. Prepare service, filing, evidence-stage, hearing, appeal, and settlement calendars and recheck them after every Registry communication.

Read the full file on GitHub · 75 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday Changed · +2 lines f0bcf941c07d
  2. 5d ago First seen · 73 lines · 60 tokens per session scan A 3845b77459b4

Subscribe to this mod's changes

trademark-opposition-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (149 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 821 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 2026-09-21.

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