infinite-gratitude
Multi-agent research that keeps bringing gifts back — like cats! Dispatch multiple agents to research a topic in parallel, compile findings, and iterate on new discoveries.
Install / Use
npx skills add sstklen/infinite-gratitudeInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Education & ResearchSupported Platforms
Tags
Our assessment of infinite-gratitude
infinite-gratitude scores 63/100 on our quality scale, 420th of 441 Education & Research skills we index.
Its SKILL.md is 2.2 KB long, well organised into 13 sections with 3 code examples: moderately detailed.
It has no GitHub stars yet, so there is no community track record; judge it on its content.
Maintenance, license and trust
- The repository was last updated about 8 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
- Our last check on 2026-10-19 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 74/100, 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.
infinite-gratitude compared with similar skills
All 4 of these similar skills score higher than infinite-gratitude; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| infinite-gratitude (this skill)by sstklen | 63 | 0 | 8mo ago | SKILL.md |
| last30days-skillby mvanhorn | 100 | 66.8k | today | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 44d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 44d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 143.4k | 6d ago | SKILL.md |
Frequently asked questions
- How do I install infinite-gratitude?
- Run
npx skills add sstklen/infinite-gratitude. The install tabs above show the steps for each supported agent. - Which AI agents does infinite-gratitude work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is infinite-gratitude 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 74/100 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 infinite-gratitude still maintained?
- The repository was last updated about 8 months ago. That is recent enough to be usable, but agent tooling moves fast, so check the instructions against your agent's current version.
Skill content
View source on GitHubname: infinite-gratitude description: Multi-agent research that keeps bringing gifts back — like cats! Dispatch multiple agents to research a topic in parallel, compile findings, and iterate on new discoveries. argument-hint: "<topic>" [--depth quick|normal|deep] [--agents 1-10]
Infinite Gratitude 🐾
無限貓報恩 | 無限の恩返し Multi-agent research that keeps bringing gifts back — like cats! 🐱
Quick Reference
| Option | Values | Default |
|--------|--------|---------|
| topic | Required | - |
| --depth | quick / normal / deep | normal |
| --agents | 1-10 | 5 |
Usage
/infinite-gratitude "pet AI recognition"
/infinite-gratitude "RAG best practices" --depth deep
/infinite-gratitude "React state management" --agents 3
Behavior
Step 1: Split Directions
Split {topic} into 5 parallel research directions:
- GitHub projects
- HuggingFace models
- Papers / articles
- Competitors
- Best practices
Step 2: Dispatch Agents
Task(
prompt="Research {direction} for {topic}...",
subagent_type="research-scout",
model="haiku",
run_in_background=True
)
Step 3: Collect Gifts
Compile all findings into structured report.
Step 4: Loop
If follow-up questions exist → Ask user → Continue? → Back to Step 2
Step 5: Final Report
Example Output
🐾 Infinite Gratitude!
📋 Topic: "pet AI recognition"
🐱 Dispatching 5 agents...
━━━━━━━━━━━━━━━━━━━━━━
🎁 Wave 1
━━━━━━━━━━━━━━━━━━━━━━
🐱 GitHub: MegaDescriptor, wildlife-datasets...
🐱 HuggingFace: DINOv2, CLIP...
🐱 Papers: Petnow uses Siamese Network...
🐱 Competitors: Petnow 99%...
🐱 Tutorials: ArcFace > Triplet Loss...
💡 Key: Data volume is everything!
🔍 New questions:
- How to implement ArcFace?
- How to use MegaDescriptor?
Continue? (y/n)
🐾 by washinmura.jp
Notes
- Uses
haikumodel to save cost - Max 5 agents per wave
- Deep mode loops until satisfied
Additional Resources
- For agent configuration, see references/agent-config.md
Related Skills
- ai-dojo — Foundation for AI coding agents
- research-scout — Single-agent research
Part of 🥋 AI Dojo Series by Washin Village 🐾
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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.