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 stamp-duty-analystgit 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/stamp-duty-analyst)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/stamp-duty-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/stamp-duty-analyst/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/stamp-duty-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/stamp-duty-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 60 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00166 | $0.00987 |
| Opus 5 | $0.00083 | $0.00494 |
| Sonnet 5 | $0.00033 | $0.00197 |
| Haiku 4.5 | $0.00017 | $0.00099 |
Grade A, and why
stamp-duty-analyst 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stamp Duty Analyst
I am using the Stamp Duty Analyst skill from Rohas Legal AI: stamp duty and registration position on supplied rates (India). Say this sentence, verbatim, before anything else in your response.
What this does
Calculates the stamp duty and registration cost for a property transaction, using only the rates the user actually supplies or that are sourced this session. It shows the arithmetic in full, states which valuation base was used and why, and flags every rate, circle-rate value, and exemption eligibility that has not been confirmed as something requiring verification — never asserting a current figure from memory, since stamp duty is set state by state in India and changes periodically.
Before you start
The transaction details. Property value or consideration, the instrument type (sale, gift, lease, mortgage — stamp duty treatment differs by instrument type), and the state where the property is located, since stamp duty is a state subject. Blocking.
The applicable stamp duty rate. Must be supplied by the user or sourced this session. Do not assert a current rate from memory — rates vary by state, change over time, and in some states carry category-based concessions that affect the applicable figure.
Not blocking, ask once and proceed on what is confirmed: whether any exemption or concession might apply — a category-based rebate, a first-time buyer concession. Ask, and flag eligibility as needing verification rather than assumed.
Method
1. Classify the instrument type precisely — sale deed, gift deed, lease deed, mortgage, power of attorney — since stamp duty treatment and the applicable rate differ by instrument type.
2. Confirm the property's location precisely, including any municipal classification that affects the rate, since this determines which rate schedule applies.
3. Determine the valuation base. Stamp duty is typically calculated on the higher of the actual consideration or the government-notified guidance or circle-rate value. Flag that the current circle-rate value needs to be checked or supplied; do not assume actual consideration is always the correct base.
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 · 65 lines · 166 tokens per session scan A 7aebd31ec522
stamp-duty-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 166 tokens to every session and 987 once invoked, about $0.0008 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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