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/education-analysis/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/education-analysis)<a href="https://agentmods.dev/skills/adarshj322/rishi-ai-mcp/education-analysis"><img src="https://agentmods.dev/badge/skills/adarshj322/rishi-ai-mcp/education-analysis/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/education-analysis"><img src="https://agentmods.dev/badge/skills/adarshj322/rishi-ai-mcp/education-analysis.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 | $0.00528 |
| Opus 5 | $0.00011 | $0.00264 |
| Sonnet 5 | $0.00004 | $0.00106 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
education-analysis 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 11d 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.
What it actually says
Education Analysis Workflow
When analyzing education and learning prospects, follow these steps:
- Fetch Chart Data: Call
cast_vedic_chartandcast_transit_chart(using birth parameters). - 4th House (Vidya Bhava): Analyze the 4th house — formal education, degrees, academic environment.
- 5th House (Buddhi Bhava): Analyze the 5th house — intelligence, creative thinking, exam performance.
- 2nd House (Vak/Speech): Check for eloquence, communication, and early education.
- Key Lords: Assess the 4th lord, 5th lord, and 2nd lord — their dignity, placement, aspects, and mutual relationships.
- Mercury (Natural Vidya Karaka): Mercury governs intellect and analytical ability. Check its dignity, house, and aspects.
- Jupiter (Guru): Jupiter governs wisdom, higher education, and teachers. Its strength determines the quality of guidance received.
- D24 (Chaturvimshamsha / Siddhamsha): Cross-reference the 4th/5th lords and Mercury in the D24 chart for:
- Type of education (technical, arts, spiritual, medical, etc.)
- Success in competitive exams
- Higher education and research potential
- Timing: Analyze Dasha/Antardasha (all 5 levels available: Maha → Antar → Pratyantar → Sukshma → Prana) of the 4th lord, 5th lord, Mercury, and Jupiter for:
- Best periods for study and exams
- Challenging academic periods
- Foreign education possibilities (Rahu/12th house involvement)
- Avasthas: Check
avasthasfor Mercury, Jupiter, and the 4th/5th lords — Yuva = full intellectual delivery; Bala/Mrita = diminished academic performance regardless of dignity. - Bhava Chalit: Compare the 4th and 5th lord whole-sign houses with
bhava_chalitplacements — if education lords shift bhavas in Chalit, the type or arena of learning may differ from Rashi expectations. - Synthesize: Provide actionable insights on the ideal field of study, exam preparation strategy, and timing of academic milestones.
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.
- 11d ago First seen · 28 lines · 22 tokens per session scan A 3ee427172ce2
education-analysis 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 528 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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