ai-review
- Repo stars 0
- Author repo skills-registry
What I do
- Read
backend/AGENTS.mdto get the mandatory rules for Gemini API - Review the changed or new files that contain Gemini API agent code
- Check for:
- Rate limiting (10/hour per user for AI endpoints)
- Proper structured output schema handling
- Error handling and retry logic
- Correct client initialization
- No hardcoded API keys
- Report any violations with specific line references
When to use me
Use this after creating or modifying any Gemini API agent code. This should be run as part of the code review process.
Important notes
- The rules in
backend/AGENTS.mdare mandatory for all AI agent implementations - Focus on the specific rules in that file - don't make up additional requirements
- Provide actionable feedback with file:line references for any issues found
<!-- tomevault:4.0:skill_md:2026-05-23 -->Source: Arkokat/hearthkeeper — distributed by TomeVault.
- Fluxly category
- AI
- Author-declared agents
- No explicit declaration found; this is not inferred or tested compatibility
- Static check
- 88 / 100 · heuristic scan, not runtime safety proof
- Author / version / license
- @tomevault-io · no license declared
- Fluxly token estimate
- Lean
- Fluxly setup estimate
- Plug-and-play
- External API key
- No requirement detected
- Detected OS requirements
- Unspecified
- Runtime requirements
- Unspecified
- Detected file/system behavior
-
- Read-only
- Detected network behavior
- Local-only
- Install commands
- None (reference only)
Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.
Heads up: 未限定 allowed-tools,默认拥有全部工具权限。
The current SKILL.md does not define a fixed output example. Read backend/AGENTS.md to get the mandatory rules for Gemini API Review the changed or new files that contain Gemini API agent code Check for:
Use this after creating or modifying any Gemini API agent code. This should be run as part of the code review process.
The rules in backend/AGENTS.md are mandatory for all AI agent implementations Focus on the specific rules in that file - don't make up additional requirements Provide actionable feedback with file:line references for any issues found
## What I do
1. Read `backend/AGENTS.md` to get the mandatory rules for Gemini API
2. Review the changed or new files that contain Gemini API agent code
3. Check for:
- Rate limiting (10/hour per user for AI endpoints)
- Proper structured output schema handling
- Error handling and retry logic
- Correct client initialization
- No hardcoded API keys
4. Report any violations with specific line references
## When to use me
Use this after creating or modifying any Gemini API agent code. This should be run as part of the code review process.
## Important notes
- The rules in `backend/AGENTS.md` are mandatory for all AI agent implementations
- Focus on the specific rules in that file - don't make up additional requirements
- Provide actionable feedback with file:line references for any issues found
---
> Source: [Arkokat/hearthkeeper](https://github.com/Arkokat/hearthkeeper) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-05-23 --> Author text anchors workflow facts; Fluxly only indexes current sections, terms, files, and commands.
sections -> What I do → When to use me → Important notes
terms -> 1. Read backend/AGENTS.md to get the mandatory rules for Gemini API 2. · Use this after creating or modifying any Gemini API agent code. · --- > Source: [Arkokat/hearthkeeper](https://github.com/Arkokat/hearthkeeper) — distributed by [TomeVault](https://tomevault.io).
files/cmd -> backend/AGENTS.md · 10/hour · Arkokat/hearthkeeper · github.com/Arkokat/hearthkeeper
body sha256 -> 81571aa4b64b
Decide Fit First
Design Intent
How To Use It
Boundaries And Review