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/health-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/health-analysis)<a href="https://agentmods.dev/skills/adarshj322/rishi-ai-mcp/health-analysis"><img src="https://agentmods.dev/badge/skills/adarshj322/rishi-ai-mcp/health-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/health-analysis"><img src="https://agentmods.dev/badge/skills/adarshj322/rishi-ai-mcp/health-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 | $0.00021 | $0.00705 |
| Opus 5 | $0.00010 | $0.00352 |
| Sonnet 5 | $0.00004 | $0.00141 |
| Haiku 4.5 | $0.00002 | $0.00071 |
Grade A, and why
health-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 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.
What it actually says
Health Analysis Workflow
When performing a health analysis, execute the following steps:
- Fetch Chart Data: Call
cast_vedic_chartandcast_transit_chart(using birth parameters). - Vitality (Lagna complex): Assess the Lagna, Lagna lord (dignity +
shadbala.percentage), and the Sun (natural karaka for vitality and prana). A weakened Lagna lord or combust Sun indicates reduced constitutional strength. - Acute Illness (6th House): Analyze the 6th house, its lord, and planets placed there. This shows the nature of diseases the native is susceptible to and their immune response.
- Chronic & Deep Issues (8th House): The 8th house governs chronic, sudden, or deep-seated health crises, surgeries, and longevity challenges.
- Trimshamsha (D30): Cross-reference the key afflicted planets in the
d30_signchart. D30 is the primary divisional chart for diseases and misfortunes — it reveals the type and root cause of health vulnerabilities. - Hospitalization (12th House): Check the 12th house for bed confinement, hospitalization, and recovery from illness.
- Affliction Check: Identify any planet with low
shadbala.percentage(<80%),is_combust: true, ordignity: "debilitated"— these planets signal the body systems they govern are under stress. - Timing: Check if the current Dasha (all 5 levels: Maha → Antar → Pratyantar → Sukshma → Prana) belongs to the 6th, 8th, or 12th lord, or a Maraka (2nd/7th lord). Check
shadbala.ishta_kashta_phala— high Kashta Phala on health-related planets signals active suffering. Check Saturn and Rahu transits over the Lagna or Moon usingsav_pointsto judge severity. - Avasthas: Check
avasthasfor the Lagna lord, Sun, and Moon — Mrita (dead) state = severely depleted vitality regardless of other strength indicators. Bala (infant) = fragile constitution. - Gandanta: If the Lagna lord, Sun, or Moon is in
gandanta(water-fire sign boundary), the native faces karmic health intensity at those life junctures — especially during the Dasha of the gandanta planet. - Kaal Sarpa: If
kaal_sarpa.active, all planets hemmed between Rahu-Ketu — health issues may manifest as mysterious, difficult-to-diagnose conditions linked to nodal karma. - Bhava Chalit: Compare the 6th and 8th lord whole-sign houses with
bhava_chalit— if disease lords shift closer to the Lagna in Chalit, health vulnerabilities are more acute than the Rashi chart suggests. - Synthesize: Provide guidance on physical vulnerabilities, body systems at risk, and suggest Sattvic lifestyle/dietary changes based on elemental imbalances. Do NOT give medical diagnoses.
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 · 23 lines · 21 tokens per session scan A e11b260a25d5
health-analysis is a skill published in the GitHub repository adarshj322/rishi-ai-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 21 tokens to every session and 705 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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