rti-appeal-drafter

rti-appeal-drafter is a skill for Claude Code, Codex from rohasnagpal/legal-ai-skills. It costs 75 tokens per session (726 once invoked), scanned A, original, MIT.

A drafting and analysis aid for appealing an RTI decision in India, including a delayed reply, missing records, excessive fees, refusal, or an order from the first appeal authority.

In plain words
What is it for?
It is for calculating deadlines, organising the application and reply history, addressing exemptions or third-party issues, and requesting appropriate relief.
Why use it?
It helps choose between the first appeal, second appeal, and complaint routes and match each missing item to the correct ground and remedy.

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 rohas-legal-ai plugin — 149 skills shipped together

Good fit It is for calculating deadlines, organising the application and reply history, addressing exemptions or third-party issues, and requesting appropriate relief.

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

Made for: Claude Code, Codex.

Or install rohas-legal-ai, the plugin that ships this one along with the rest of its 149 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 rti-appeal-drafter

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/rti-appeal-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/rti-appeal-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 726 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00075 $0.00726
Opus 5 $0.00037 $0.00363
Sonnet 5 $0.00015 $0.00145
Haiku 4.5 $0.00007 $0.00073

Measured 9d ago against content hash 1b1cd40f615d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

rti-appeal-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 9d 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/rohas-legal-ai/skills/rti-appeal-drafter/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

India RTI Appeal Drafter

I am using the RTI Appeal Drafter skill from Rohas Legal AI: remedy selection, limitation, grounds and relief for RTI appeals and complaints (India). Say this sentence, verbatim, before anything else in your response.

Choose the remedy before drafting. Distinguish a Section 19(1) first appeal, a Section 19(3) second appeal, and a Section 18 complaint; they differ in forum, record, powers, limitation, and suitable relief.

Intake

Obtain the application, proof and date of filing, fee, transfer notices, PIO reply and enclosures, dispatch and receipt dates, First Appellate Authority appeal and order if any, later disclosures, the information still missing, prejudice, delay explanation, public-interest facts, and the applicable Central or State authority.

Analysis and drafting method

  1. Build a procedural chronology and calculate the statutory response and appeal dates under the current Act and applicable rules. Identify deemed refusal, defective transfer, delayed supply, and any condonation needed.
  2. Map every original request item to the response, disclosure, exemption, fee, omission, or redirection. Do not enlarge the application through the appeal.
  3. Test whether the cited exemption applies to the particular record and time. Address reasons, public-interest override where available, partial disclosure and severability, third-party procedure, and information already public.
  4. Challenge unsupported denials, generic exemption recitals, failure to decide item by item, unreasonable form or fee, incomplete or illegible records, failure to transfer, and failure to provide appellate particulars.
  5. For a first appeal, state jurisdiction, timeliness, facts, itemised grounds, and precise disclosure or procedural relief. Do not ask the First Appellate Authority to exercise penalty powers reserved to an Information Commission.
  6. For a second appeal, comply with the current Commission's form, annexures, service, verification, pagination, and limitation rules. Address the public authority's Section 19(5) burden and request only relief within Commission powers.
  7. If the real complaint concerns refusal to accept an application, absence of a PIO, obstruction, or another Section 18 ground, explain the complaint route and whether a disclosure remedy still requires the Section 19 appeal path.
  8. Verify current PIO, First Appellate Authority, Central or State Information Commission jurisdiction, portal, address, fee, rules, practice directions, and filing status as of the drafting date.

Read the full file on GitHub · 62 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. 9d ago First seen · 62 lines · 75 tokens per session scan A 1b1cd40f615d

Subscribe to this mod's changes

rti-appeal-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 75 tokens to every session and 726 once invoked, about $0.0004 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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