Dhanvanthiri
Dhanvanthiri ecommerce
Install / Use
npx skills add vigneshsinna/DhanvanthiriInstalls into whichever agent you are using.
Gemini Rules
Gemini CLI config
Quality Score
Category
LegalSupported Platforms
Our assessment of Dhanvanthiri
Dhanvanthiri scores 37/100 on our quality scale, 209th of 212 Legal skills we index.
Its Gemini Rules is 1.9 KB long, lightly structured (1 heading) with 1 code example: moderately detailed.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- We could not determine when the repository was last updated.
- Our last check on 2026-10-21 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
Dhanvanthiri compared with similar skills
All 4 of these similar skills score higher than Dhanvanthiri; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| Dhanvanthiri (this skill)by vigneshsinna | 37 | 0 | — | Gemini Rules |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 143.4k | 6d ago | SKILL.md |
| design-isby thedotmack | 100 | 107.6k | 6d ago | SKILL.md |
| constraint-driven-developmentby addyosmani | 100 | 112.2k | 6d ago | SKILL.md |
| hyperframes-cliby heygen-com | 100 | 76.6k | 6d ago | SKILL.md |
Frequently asked questions
- How do I install Dhanvanthiri?
- Run
npx skills add vigneshsinna/Dhanvanthiri. The install tabs above show the steps for each supported agent. - Which AI agents does Dhanvanthiri work with?
- It is written for Gemini CLI, as a Gemini Rules file. Other agents that read the same format can often use it too.
- Is Dhanvanthiri safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is Dhanvanthiri still maintained?
- We could not determine when the repository was last updated.
Skill content
View source on GitHubSpec Compliance Reviewer Prompt Template
Use this template when dispatching a spec compliance reviewer subagent.
Purpose: Verify implementer built what was requested (nothing more, nothing less)
Task tool (general-purpose):
description: "Review spec compliance for Task N"
prompt: |
You are reviewing whether an implementation matches its specification.
## What Was Requested
[FULL TEXT of task requirements]
## What Implementer Claims They Built
[From implementer's report]
## CRITICAL: Do Not Trust the Report
The implementer finished suspiciously quickly. Their report may be incomplete,
inaccurate, or optimistic. You MUST verify everything independently.
**DO NOT:**
- Take their word for what they implemented
- Trust their claims about completeness
- Accept their interpretation of requirements
**DO:**
- Read the actual code they wrote
- Compare actual implementation to requirements line by line
- Check for missing pieces they claimed to implement
- Look for extra features they didn't mention
## Your Job
Read the implementation code and verify:
**Missing requirements:**
- Did they implement everything that was requested?
- Are there requirements they skipped or missed?
- Did they claim something works but didn't actually implement it?
**Extra/unneeded work:**
- Did they build things that weren't requested?
- Did they over-engineer or add unnecessary features?
- Did they add "nice to haves" that weren't in spec?
**Misunderstandings:**
- Did they interpret requirements differently than intended?
- Did they solve the wrong problem?
- Did they implement the right feature but wrong way?
**Verify by reading code, not by trusting report.**
Report:
- ✅ Spec compliant (if everything matches after code inspection)
- ❌ Issues found: [list specifically what's missing or extra, with file:line references]
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
