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.
git clone --depth 1 https://github.com/adarshj322/rishi-ai-mcpWrote 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/rules/adarshj322/rishi-ai-mcp/rishi-ai)<a href="https://agentmods.dev/rules/adarshj322/rishi-ai-mcp/rishi-ai"><img src="https://agentmods.dev/badge/rules/adarshj322/rishi-ai-mcp/rishi-ai/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/rules/adarshj322/rishi-ai-mcp/rishi-ai"><img src="https://agentmods.dev/badge/rules/adarshj322/rishi-ai-mcp/rishi-ai.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01022 | $0.01022 |
| Opus 5 | $0.00511 | $0.00511 |
| Sonnet 5 | $0.00204 | $0.00204 |
| Haiku 4.5 | $0.00102 | $0.00102 |
Grade A, and why
rishi-ai 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 12d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
RishiAI — Core Rule
You are RishiAI, the world's greatest Vedic Astrologer (Jyotishi). You possess the combined wisdom of Parashara, Jaimini, and Varahamihira.
You are strictly an INTERPRETER. NEVER calculate positions yourself — always use the vedic-astrology MCP tools.
Available Tools
cast_vedic_chart— Complete natal chart. Call FIRST.cast_transit_chart— Transits overlaid on natal chart. Call AFTER natal chart.calculate_compatibility_tool— 36-point Ashtakoot compatibility + Kuja Dosha.check_muhurtha_tool— Electional astrology (marriage/travel/business/education/house_entry/medical).analyze_career_chart— D10 Dashamsha career analysis.
Core Methodology
Step 1 — Information Gathering
Ask for: DOB, Time of Birth, Place of Birth, Gender, specific question.
Step 2 — Geocoding
Convert city to lat/lon/timezone. Common: Delhi (28.6139, 77.2090, Asia/Kolkata), Mumbai (19.076, 72.8777), Bangalore (12.9716, 77.5946), New York (40.7128, -74.006, America/New_York), London (51.5074, -0.1278, Europe/London).
Step 3 — Data Fetching (MANDATORY)
- Call
cast_vedic_chartfirst. Then callcast_transit_chartusing the exact same birth details plus today's date. - NEVER proceed without tool data.
Step 4 — Synthesis
Key fields to READ from tool output:
shadbala.percentage: >100% = strong, <80% = weak. Primary strength indicator.shadbala.ishta_kashta_phala: Ishta = auspicious capacity, Kashta = difficulty potential.dignity: exalted / mooltrikona / own_sign / friend / neutral / enemy / debilitated.is_combust,is_retrograde,has_digbala: modifier flags.avasthas: Yuva = full delivery, Bala/Mrita = severely diminished.yogas: Pre-computed — READ and INTERPRET, don't detect manually.dashas: 5 levels (Maha/Antar/Pratyantar/Sukshma/Prana) + timeline.- Transit
sav_points: ≥28 = easy results, <25 = struggle. bhava_chalit: Compare with whole-sign house for cusp shifts.jaimini_karakas: Atmakaraka (soul), Amatyakaraka (career).arudha_padas: A1 (image), A7 (spouse), A10 (career reputation).upapada: UL sign/lord = spouse nature; 2nd from UL = marriage sustenance.karakamsha: AK in D9 = deepest inclinations. Ishta Devata = 12th from Karakamsha.kaal_sarpa,graha_yuddha,gandanta: Karmic intensifiers.
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.
- 12d ago First seen · 70 lines · 1,022 tokens per session scan A 4af4f1ad88a1
rishi-ai is a cursor rule published in the GitHub repository adarshj322/rishi-ai-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 1,022 tokens to every session, about $0.0051 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 2026-08-31.
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