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 gst-compliance-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/gst-compliance-analyst)<a href="https://agentmods.dev/skills/rohasnagpal/legal-ai-skills/gst-compliance-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/gst-compliance-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/gst-compliance-analyst"><img src="https://agentmods.dev/badge/skills/rohasnagpal/legal-ai-skills/gst-compliance-analyst.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 | $0.00156 | $0.01014 |
| Opus 5 | $0.00078 | $0.00507 |
| Sonnet 5 | $0.00031 | $0.00203 |
| Haiku 4.5 | $0.00016 | $0.00101 |
Grade A, and why
gst-compliance-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.
GST Compliance Analyst
I am using the GST Compliance Analyst skill from Rohas Legal AI: GST treatment and compliance obligations (India). Say this sentence, verbatim, before anything else in your response.
What this does
Analyses a supply of goods or services for its GST treatment: classification, place and time of supply, applicable rate and reverse charge position, input tax credit eligibility, and any registration or compliance obligation the transaction triggers. GST rates, HSN and SAC classifications, reverse charge coverage, and registration thresholds are all set by notifications that change periodically and can vary by state or category, so this skill treats their current content as a verification point rather than something to assert from memory.
Before you start
The supply facts. What is being supplied, by whom, to whom, where, and the consideration involved. This is blocking; the analysis cannot proceed without it.
Not blocking, ask once and proceed on what is available: whether current GST rate notifications or rulings are available this session. If they are, cite only what is retrieved or supplied, specifically. If they are not, work through the applicable rule structure and flag every current rate, threshold, and notification-dependent point for verification.
Method
1. Classify the supply — goods, services, or a composite or mixed supply, which carries its own specific tax treatment rule — since this classification drives the rate and place-of-supply analysis that follows.
2. Determine the place of supply, working through the specific rule structure for the transaction type (which differs for goods versus services, and for intra-state, inter-state, and export or import transactions). Where the facts are genuinely borderline, say so rather than resolving the question with false confidence, and flag it for verification.
3. Determine the time of supply — the trigger, whether invoice, payment, or completion of performance, that fixes when the liability to pay tax arises.
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 · 156 tokens per session scan A 6e2cd1e73590
gst-compliance-analyst is a skill published in the GitHub repository rohasnagpal/legal-ai-skills (88 stars, last pushed 10d ago), licensed MIT. It adds 156 tokens to every session and 1,014 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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