rishi-ai-mcp: Skill for Claude Code

.agents/skills/physicalintimacy-analysis/SKILL.md

physicalintimacy-analysis is a skill for Claude Code, Codex from adarshj322/rishi-ai-mcp. It costs 24 tokens per session (546 once invoked), scanned A, original, MIT.

A workflow for analyzing sexual drive, physical intimacy, bedroom dynamics, and physical compatibility through Vedic astrology birth charts.

In plain words
What is it for?
Use it to analyze one person's libido and intimacy patterns or compare two people's sexual compatibility when both birth details are available.
Why use it?
It provides a defined set of chart data and relationship factors to examine instead of relying on an informal or incomplete reading.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is adarshj322/rishi-ai-mcp's own configuration. It tells Claude Code and Codex how to work on rishi-ai-mcp itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything rishi-ai-mcp configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/adarshj322/rishi-ai-mcp/main/.agents/skills/physicalintimacy-analysis/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/adarshj322/rishi-ai-mcp

Made for: Claude Code, Codex.

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README.md
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Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 546 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00024 $0.00546
Opus 5 $0.00012 $0.00273
Sonnet 5 $0.00005 $0.00109
Haiku 4.5 $0.00002 $0.00055

Measured 11d ago against content hash c6f7fa3fc13c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

physicalintimacy-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.

.agents/skills/physicalintimacy-analysis/SKILL.md · 20 lines

What it actually says

Physical Intimacy Analysis Workflow

For analyzing sexual drive, physical compatibility, and bedroom dynamics:

  1. Fetch Chart Data: Call cast_vedic_chart and cast_transit_chart (using birth parameters) for the native.
  2. Compatibility (only if BOTH people's birth details are provided): Call calculate_compatibility and pay specific attention to the Yoni Koota (sexual compatibility, 4 pts), Graha Maitri (mental-emotional bonding, 5 pts), and the new SexEnergy factor (analysis of 7th house planet placements). Also review the Kuja Dosha analysis — Mars energy directly impacts physical drive and aggression. If only the native's details are provided, skip this step and analyse their physical drive and intimacy patterns from the chart alone.
  3. Drive (Mars & Venus): Analyze Mars (passion, raw physical energy, aggression) and Venus (sensuality, pleasure). Check their dignity, shadbala.percentage, house placement, and mutual aspects — these define the native's baseline libido and style of physical expression.
  4. Bedroom Dynamics (12th House): Analyze the 12th house (bed pleasures, private intimacy, sleep, foreign connections) and its lord's strength.
  5. Hidden Desires (8th House): Analyze the 8th house for depth of passion, psychological intensity, secret attractions, and capacity for deep sexual-emotional merging.
  6. 5th House (Love & Attraction): The 5th house governs romantic attraction and initial physical chemistry — check its lord's placement and condition.
  7. Timing: Check Dashas and transits activating Mars, Venus, 8th, or 12th houses. Use sav_points to judge whether the transit will bring fulfilment or frustration.
  8. Upapada & Dara Pada: From upapada, the UL sign indicates the intimate nature of the partner. From arudha_padas, check A7 (Dara Pada) for the partner's physical/social appeal.
  9. Avasthas: Check avasthas for Mars and Venus — Yuva = full sexual vitality and expression; Bala/Mrita = diminished drive or capacity regardless of dignity.
  10. Synthesize: Provide an honest, non-judgmental interpretation of their physical needs, libidinous energy, and potential areas of sexual frustration or fulfillment.
Changes

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.

  1. 11d ago First seen · 20 lines · 24 tokens per session scan A c6f7fa3fc13c

Subscribe to this mod's changes

physicalintimacy-analysis is a skill published in the GitHub repository adarshj322/rishi-ai-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 24 tokens to every session and 546 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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