Vedic Astro Skills is a toolkit of eight AI skills that calculates Vedic astrology charts from birth details and uses the verified chart data for further analysis. It supports birth-chart readings, career and relationship analysis, birth-time adjustment, compatibility readings, and Prashna question charts, with optional imports from astrology software files or images. The skills are designed for Codex, Claude Code, and other clients that read Claude Skill formats.
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.
npx skills add CNWU16/vedic-astro-skills --skill vedic-prashnagit clone --depth 1 https://github.com/CNWU16/vedic-astro-skillsWrote 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/cnwu16/vedic-astro-skills/vedic-prashna)<a href="https://agentmods.dev/skills/cnwu16/vedic-astro-skills/vedic-prashna"><img src="https://agentmods.dev/badge/skills/cnwu16/vedic-astro-skills/vedic-prashna/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/cnwu16/vedic-astro-skills/vedic-prashna"><img src="https://agentmods.dev/badge/skills/cnwu16/vedic-astro-skills/vedic-prashna.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00178 | $0.04880 |
| Opus 5.5 | $0.00071 | $0.01952 |
| Sonnet 5.5 | $0.00036 | $0.00976 |
| Haiku 4.5 | $0.00018 | $0.00488 |
Grade A, and why
vedic-prashna 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 8d 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.
The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
27 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- resources/cross-natal-policy.md 1.3 KB
- resources/house-meanings.md 15 KB
- resources/ja-prashna.md 3.7 KB
- resources/judgment-rubric.md 19 KB
- resources/judgment-writing.md 19 KB
- resources/kp-optional.md 14 KB
- resources/locations.md 4.0 KB
- resources/matter-rules.md 22 KB
- resources/moon-policy.md 4.2 KB
- resources/qa_rules.md 14 KB
- resources/question-decomposition.md 14 KB
- resources/standard-layer.md 32 KB
- resources/tajika-optional.md 8.8 KB
- resources/timing-layer.md 6.7 KB
- scripts/build_kp_horary.py 3.5 KB runs code
- scripts/build_prashna_data.py 7.5 KB runs code
- scripts/build_tajika_overlay.py 2.5 KB runs code
- scripts/build_timing_overlay.py 5.1 KB runs code
- scripts/calc_moon_vedic.py 9.0 KB runs code
- scripts/calc_optional_kp.py 72 KB runs code
- scripts/calc_optional_tajika.py 46 KB runs code
- scripts/calc_timing.py 8.4 KB runs code
- scripts/format_prashna_standard.py 40 KB runs code
- scripts/judge_prashna_standard.py 8.2 KB runs code
- scripts/prashna_rules.py 48 KB runs code
- scripts/prashna_time.py 3.8 KB runs code
- tests/test_prashna_isolation.py 31 KB runs code
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.
- 8d ago Changed · -247 lines 685cea050ae7
- 9d ago Changed · +20 lines 5bdec1d05ee1
- 15d ago Changed · +1 lines 7c8f9a15044f
- 16d ago Changed · +4 lines baf44fa16969
- 17d ago Changed · +68 lines dcf5420f3dc3
- 27d ago Changed · +4 lines f6231eba8d91
- 28d ago Changed · +51 lines 7a6a2eed633f
- 2mo ago First seen · 359 lines · 178 tokens per session scan A 7fe2045f2527
vedic-prashna is a skill published in the GitHub repository CNWU16/vedic-astro-skills (1,016 stars, last pushed 4d ago), licensed AGPL-3.0. It adds 178 tokens to every session and 4,880 once invoked, about $0.0007 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 2026-08-30.
vedic-prashna compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| vedic-prashnaCNWU16/vedic-astro-skills | Skill | 1.0k | 4d ago | AGPL-3.0 | A | 178 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |