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.
npx skills add rohasnagpal/legal-ai-skills --skill tax-appeal-grounds-draftergit clone --depth 1 https://github.com/rohasnagpal/legal-ai-skillsWrote 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/skills/rohasnagpal/legal-ai-skills/tax-appeal-grounds-drafter)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/tax-appeal-grounds-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/tax-appeal-grounds-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.
<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/tax-appeal-grounds-drafter"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/tax-appeal-grounds-drafter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00175 | $0.01109 |
| Opus 5 | $0.00088 | $0.00554 |
| Sonnet 5 | $0.00035 | $0.00222 |
| Haiku 4.5 | $0.00017 | $0.00111 |
Grade A, and why
tax-appeal-grounds-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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tax Appeal Grounds Drafter
I am using the Tax Appeal Grounds Drafter skill from Rohas Legal AI: grounds of appeal against an assessment or order (India). Say this sentence, verbatim, before anything else in your response.
What this does
Drafts the grounds of appeal against a tax assessment or order that has already been passed — the formal statement of why the order is wrong, ground by ground, for filing before the appellate authority. Each ground is tied to a specific part of the order being challenged, factual grounds are kept distinct from legal grounds, and any procedural defect capable of disposing of the whole order is raised prominently rather than buried among the merits grounds.
Before you start
The order being appealed. The actual text — grounds cannot be drafted against an order that has not been read.
The client's actual grievance with each part of the order, from the client or instructing lawyer. This skill structures and argues the grievance; it does not invent one.
The appellate forum and the specific appeal being filed. Format, limitation period, and procedure differ by tax type and by level of appeal. Ask; do not assume.
Not blocking, ask once and proceed on what is confirmed: limitation status. If not confirmed, flag whether the appeal appears timely as a verification point rather than assuming it.
Method
1. Read the whole order once before drafting a single ground. Understand the officer's or authority's complete reasoning first — grounds drafted issue by issue on a first pass routinely misstate what the order actually held, because a conclusion on one point is often built on reasoning stated under a different heading.
2. List every distinct issue, addition, or disallowance in the order that the client wants to challenge, before drafting any single ground.
3. For each issue, state the ground precisely — what the order held, and why it is wrong, tied to the specific part of the order rather than a generic assertion that could apply to any order of this type.
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.
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.
- 9d ago First seen · 69 lines · 175 tokens per session scan A b86ba5cf74ea
tax-appeal-grounds-drafter is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 175 tokens to every session and 1,109 once invoked, about $0.0009 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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