Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git 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/commands/adarshj322/rishi-ai-mcp/career)<a href="https://agentmods.dev/commands/adarshj322/rishi-ai-mcp/career"><img src="https://agentmods.dev/badge/commands/adarshj322/rishi-ai-mcp/career/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/commands/adarshj322/rishi-ai-mcp/career"><img src="https://agentmods.dev/badge/commands/adarshj322/rishi-ai-mcp/career.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 | $0.00010 | $0.00476 |
| Opus 5.5 | $0.00004 | $0.00190 |
| Sonnet 5.5 | $0.00002 | $0.00095 |
| Haiku 4.5 | $0.00001 | $0.00048 |
Grade A, and why
career 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 2mo 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
Career Analysis Workflow
When the user wants career guidance, professional path analysis, or dasha-based career timing, execute these steps:
Steps
-
Gather Birth Details: DOB, Time, Lat, Lon.
-
Fetch Chart Data: Call
cast_vedic_chartfirst for foundational data. -
Analyze Career Chart: Call
analyze_career_chartfor D10 Dashamsha deep dive. -
Read 10th House (Karma Sthana):
- Lord of 10th house: its sign, house, dignity
- Occupants of 10th: planets placed there
d10_signof lord and occupants
-
D10 Planetary Indicators: For each planet in D10:
- Read
d10_signandcareer_domainsignifications - Identify which planets are well-placed for career expression
- Read
-
Career Themes: Read
career_themes(ranked array) for primary and secondary career directions. -
Strength Factors: Check 6th/7th lord connections to 10th — indicates entrepreneurship vs employment倾向.
-
Cross-Reference with Natal:
- Atmakaraka's house/sign — career calling
- Amatyakaraka's placement — professional orientation
- Saturn's dignity and house — work discipline and longevity
-
Dasha Timing: Use
dashas.timelineto identify upcoming periods favorable for:- Career changes
- New job opportunities
- Promotions
- Entrepreneurship moves
-
Synthesize & Deliver:
- Career Archetype: Primary professional identity
- Strengths: Natural talents and planetary supports
- Challenges: Areas needing development or facing delays
- Ideal Environments: Work settings that favor the native
- Timing Forecast: When to expect major career shifts
- Remedies: Career-enhancing Sattvic practices
Tools
cast_vedic_chart: Foundation data (call first)analyze_career_chart: D10 Dashamsha career analysis (call second)
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.
- 2mo ago First seen · 52 lines · 10 tokens per session scan A 20b45977ad25
career is a command published in the GitHub repository adarshj322/rishi-ai-mcp (2 stars, last pushed 5d ago), licensed MIT. It adds 10 tokens to every session and 476 once invoked, about $0.0000 per session on Opus 5.5. 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.
career compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| careeradarshj322/rishi-ai-mcp | Command | 2 | 5d ago | MIT | A | 10 | Claude Code |
| mylife-setupyys5584/mylife-vault | Command | 3 | 1mo ago | none | A | 32 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |