rishi-ai-mcp: Skill for Claude Code

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

muhurtha-analysis is a skill for Claude Code, Codex from adarshj322/rishi-ai-mcp. It costs 31 tokens per session (620 once invoked), scanned A, original, MIT.

A workflow for choosing or evaluating auspicious times in Vedic astrology. It checks whether a proposed time suits activities such as marriage, travel, business, education, moving into a home, or medical care.

In plain words
What is it for?
Use it to evaluate a planned activity, review favourable and unfavourable factors, and, when birth details are provided, include the person's chart in the analysis.
Why use it?
It organises several calendar and birth-chart checks into one assessment of a proposed date and time.

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/muhurtha-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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<a href="https://agentmods.dev/skills/adarshj322/rishi-ai-mcp/muhurtha-analysis"><img src="https://agentmods.dev/badge/skills/adarshj322/rishi-ai-mcp/muhurtha-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 620 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 $0.00031 $0.00620
Opus 5 $0.00015 $0.00310
Sonnet 5 $0.00006 $0.00124
Haiku 4.5 $0.00003 $0.00062

Measured 12d ago against content hash 14f65e550c97, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

muhurtha-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.

.agents/skills/muhurtha-analysis/SKILL.md · 23 lines

What it actually says

Muhurtha Analysis Workflow

When helping the user pick an auspicious time for an activity, follow these steps:

  1. Fetch Muhurtha Data: Call check_muhurtha with the activity type, proposed date/time, and location. Supported activities: marriage, travel, business, education, house_entry, medical. The tool automatically evaluates Panchang purity, nakshatra suitability, activity-specific rules, and returns a verdict with score.
  2. Also Fetch Natal Chart (if birth details provided): Call cast_vedic_chart for the native and cast_transit_chart (using birth parameters) for the proposed date.
  3. Interpret Muhurtha Results: Read the check_muhurtha output:
    • verdict: "auspicious" / "mixed_favorable" / "mixed" / "inauspicious"
    • positive_factors and negative_factors: specific reasons for/against the time
    • marriage_doshas (marriage only): Sagraha, Shashtashta, Bhrigupta Shatka, Kujaasthama checks
    • panchang_suddhi: tithi/vara/nakshatra/yoga/karana assessment
  4. Tarabala (if native's birth data available): The transit Moon's nakshatra counted from the native's birth nakshatra must NOT fall in the 3rd (Vipat), 5th (Pratyak), or 7th (Vadha) Tara.
  5. Chandrabala (if native's birth data available): The transit Moon must NOT be in the 6th, 8th, or 12th house from the native's birth Moon sign.
  6. Lagna Shuddhi: Check transit chart — avoid malefics in Lagna and the 8th house at the proposed time.
  7. Gandanta Moon: If the transit Moon at the proposed time falls in gandanta (within 3°20' of Cancer→Leo, Scorpio→Sagittarius, or Pisces→Aries boundaries), the muhurtha is karmically risky — avoid for auspicious beginnings.
  8. Kaal Sarpa: If the transit chart at the proposed time shows kaal_sarpa.active, all planets hemmed between Rahu-Ketu — the elected time carries heavy nodal karma and should generally be avoided for new ventures.
  9. Synthesize: Combine the check_muhurtha score/verdict with your Tarabala/Chandrabala/Lagna analysis. Recommend the best time windows within the user's proposed date range. If inauspicious, suggest alternatives with clear reasoning.
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. 12d ago First seen · 23 lines · 31 tokens per session scan A 14f65e550c97

Subscribe to this mod's changes

muhurtha-analysis is a skill published in the GitHub repository adarshj322/rishi-ai-mcp (1 stars, last pushed 4mo ago), licensed MIT. It adds 31 tokens to every session and 620 once invoked, about $0.0002 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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