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/commands/adarshj322/rishi-ai-mcp/vedic-chart)<a href="https://agentmods.dev/commands/adarshj322/rishi-ai-mcp/vedic-chart"><img src="https://agentmods.dev/badge/commands/adarshj322/rishi-ai-mcp/vedic-chart/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/commands/adarshj322/rishi-ai-mcp/vedic-chart"><img src="https://agentmods.dev/badge/commands/adarshj322/rishi-ai-mcp/vedic-chart.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 | $0.00006 | $0.00686 |
| Opus 5 | $0.00003 | $0.00343 |
| Sonnet 5 | $0.00001 | $0.00137 |
| Haiku 4.5 | $0.00001 | $0.00069 |
Grade A, and why
vedic-chart 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 — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vedic Chart Reading Workflow
When the user wants a complete Vedic (Jyotish) natal chart reading, execute these steps:
Steps
-
Gather Birth Details: Ask for DOB (DD/MM/YYYY), Time of Birth (HH:MM), Place of Birth (for lat/lon/timezone), Gender, and their specific question.
-
Geocode Place: Convert birth city to lat/lon/timezone. Key references:
- Delhi: 28.6139, 77.2090, Asia/Kolkata
- Mumbai: 19.076, 72.8777, Asia/Kolkata
- Bangalore: 12.9716, 77.5946, Asia/Kolkata
- New York: 40.7128, -74.006, America/New_York
- London: 51.5074, -0.1278, Europe/London
-
Fetch Chart Data: Call
cast_vedic_chartwith birth parameters. -
Read Key Indicators:
panchang: tithi, vara, nakshatra, yoga, karanalagna.sign,lagna.nakshatra— core personality frameworkshadbala.percentagefor each planet (>100% = exceptionally strong, <80% = weak)shadbala.ishta_kashta_phala— auspicious vs difficult potentialdignity,is_combust,is_retrograde— modifier flagsavasthas— Yuva = full delivery, Bala/Mrita = diminished
-
Jaimini Karakas: Read
jaimini_karakas. Atmakaraka = soul lesson; Amatyakaraka = career direction. -
House-Lord-Karaka: Use
housefield for bhava placement. Cross-reference lordship from Lagna. -
Vargas: D2 (wealth), D9 (marriage), D10 (career), D16 (luxuries), D20 (spirituality), D60 (past-life karma).
-
Yogas: READ from
yogasarray — don't detect manually. Assess dignity + combustion of forming planets. -
Dashas: Read all 5 levels (Maha/Antar/Pratyantar/Sukshma/Prana) +
dashas.timeline. -
Synthesize & Deliver Reading:
- Core Essence: Lagna + Moon + Panchang + dominant yogas
- Current Vibe: Dasha snapshot + transits + Sade Sati
- Detailed Analysis: House + Lord + Karaka framework
- Yoga Impact: Each detected yoga: promise, strength, timing
- Probable Outcomes: Descending probability
- Diagnostic Questions: 1-3 data-driven probing questions
- The Key: Lifestyle shift + spiritual remedy + timing
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 · 52 lines · 6 tokens per session scan A 911244661f3c
vedic-chart is a command published in the GitHub repository adarshj322/rishi-ai-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 6 tokens to every session and 686 once invoked, about $0.0000 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.
Other commands, from other repositories
mylife-setup
A guided interview for filling a MYLIFE vault with information about your personality, surroundings, money, work, and relationships. Astrology and birth-chart details are optional.
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.