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 singkitlee/vedic-astro-pyjhora-skill --skill vedic-astrogit clone --depth 1 https://github.com/singkitlee/vedic-astro-pyjhora-skillWrote 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/singkitlee/vedic-astro-pyjhora-skill/vedic-astro)<a href="https://agentmods.dev/skills/singkitlee/vedic-astro-pyjhora-skill/vedic-astro"><img src="https://agentmods.dev/badge/skills/singkitlee/vedic-astro-pyjhora-skill/vedic-astro/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/singkitlee/vedic-astro-pyjhora-skill/vedic-astro"><img src="https://agentmods.dev/badge/skills/singkitlee/vedic-astro-pyjhora-skill/vedic-astro.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 | $0.00126 | $0.01834 |
| Opus 5 | $0.00063 | $0.00917 |
| Sonnet 5 | $0.00025 | $0.00367 |
| Haiku 4.5 | $0.00013 | $0.00183 |
Grade A, and why
vedic-astro 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 10d 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
16 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/data_contract.md 575 B
- resources/event_house_map.md 657 B
- resources/house_framework.md 1010 B
- resources/p1_p12.md 1.2 KB
- resources/qa_rules.md 469 B
- resources/report_rules.md 552 B
- resources/validation_rules.md 1.0 KB
- resources/yogas.md 415 B
- scripts/chart_generator.py 23 KB runs code
- scripts/report_builder.py 20 KB runs code
- scripts/time_scan.py 5.9 KB runs code
- vedic-career.md 2.1 KB
- vedic-core.md 4.4 KB
- vedic-love.md 1.9 KB
- vedic-reader.md 2.5 KB
- vedic-rectifier.md 1.8 KB
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.
- 10d ago First seen · 163 lines · 126 tokens per session scan A 238172869402
vedic-astro is a skill published in the GitHub repository singkitlee/vedic-astro-pyjhora-skill (25 stars, last pushed 3mo ago), licensed AGPL-3.0. It adds 126 tokens to every session and 1,834 once invoked, about $0.0006 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 2026-08-30.
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