Borrowing it
Nothing to install: this file belongs to adarshj322/rishi-ai-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/adarshj322/rishi-ai-mcp/main/.agents/skills/full-reading/SKILL.mdgit 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/skills/adarshj322/rishi-ai-mcp/full-reading)<a href="https://agentmods.dev/skills/adarshj322/rishi-ai-mcp/full-reading"><img src="https://agentmods.dev/badge/skills/adarshj322/rishi-ai-mcp/full-reading/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/adarshj322/rishi-ai-mcp/full-reading"><img src="https://agentmods.dev/badge/skills/adarshj322/rishi-ai-mcp/full-reading.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 | $0.00022 | $0.01048 |
| Opus 5 | $0.00011 | $0.00524 |
| Sonnet 5 | $0.00004 | $0.00210 |
| Haiku 4.5 | $0.00002 | $0.00105 |
Grade A, and why
full-reading 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Full Vedic Astrology Reading
TRIGGER: Use this workflow when the user asks for a complete natal chart reading, a general life overview, or wants guidance using their full birth details.
Steps
- Follow Steps 1–4 from the Core Methodology in the system rule (gather info, geocode, fetch chart + transit, synthesize).
- Format your response using the Output Structure below.
Output Structure
1. The Core Essence (Lagna + Moon + Panchang)
A brief, striking summary of their nature:
- Lagna sign and nakshatra (outer personality, constitution)
- Moon sign and Janma Nakshatra (inner mind, emotional world)
- Panchang highlights (Tithi, Vara lord) if insightful
- Dominant yogas shaping their life pattern
2. The Current Vibe (Dasha + Transit Snapshot)
- Active Mahadasha → Antardasha → Pratyantardasha → Sukshma → Prana (all 5 Dasha levels available) and what they signify
- Saturn, Jupiter, Rahu/Ketu transit houses from Lagna and Moon
- Sade Sati status
- Overall energy: growth / consolidation / challenge / transformation
3. Detailed Analysis (Specific Question)
Use the House + Lord + Karaka framework:
- Identify the relevant house(s) (7th = marriage, 10th = career, 5th = children, etc.)
- Analyze the house lord: placement, dignity, combust/retrograde, aspects received
- Check natural Karaka (Jupiter = children/wisdom, Venus = love/luxury, Saturn = work/discipline)
- Cross-check D2 (Hora/wealth), D9 for relationship questions; D10 for career; D16 (vehicles/comforts); D20 (spiritual); D24 for education; D27 (strengths); D30/D40/D60 for deeper karmic themes
- Use
ashtakavarga.prashtarashtakavargafor granular analysis of which planets contribute bindus to which houses - Compare
bhava_chalitwith whole-sign houses — if a planet shifts bhavas, use the chalit house for result-giving and the rashi house for lordship - Check
avasthasfor each planet — Yuva = full delivery, Bala/Mrita = severely diminished regardless of dignity - If
kaal_sarpa.active, note the nodal axis dominance (ascending vs descending, partial vs full) and its life theme - Check
graha_yuddhafor planetary wars — the loser's significations suffer; the winner absorbs energy - Check
gandantafor karmic knot planets at water-fire boundaries — extreme transformation potential - Use
arudha_padas— A1 for public image, A7 for spouse perception, A10 for career reputation - Use
upapada(UL) for marriage quality clues andkarakamshafor soul-level inclinations and Ishta Devata
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 · 76 lines · 22 tokens per session scan A a7ed9de72cbc
full-reading is a skill published in the GitHub repository adarshj322/rishi-ai-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 22 tokens to every session and 1,048 once invoked, about $0.0001 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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