Is infinite-gratitude safe to install?

SaferSkills independently audited infinite-gratitude (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.

CategoryWeightCategory scoreContribution

Securityprompt, exec, net, exfil, eval

35%

100

35.0 pts

Supply chainhash, typosquat, maintainer, lockfile

20%

100

20.0 pts

Maintenancestaleness, pinning, CI

15%

100

15.0 pts

TransparencySKILL.md, perms, README

15%

100

15.0 pts

Communityinstalls, verify, response

15%

100

15.0 pts

Findings & checks · 0 flagged

Securityscore 100 · 0 findings

✓—All security checks passedNo findings in this category for the latest scan.pass

Supply chainscore 100 · 0 findings

✓—All supply chain checks passedNo findings in this category for the latest scan.pass

Maintenancescore 100 · 0 findings

✓—All maintenance checks passedNo findings in this category for the latest scan.pass

Transparencyscore 100 · 0 findings

✓—All transparency checks passedNo findings in this category for the latest scan.pass

Communityscore 100 · 0 findings

✓—All community checks passedNo findings in this category for the latest scan.pass

The primary manifest — the file an agent reads to learn what this artifact does.

SKILL.md · 1 file

SKILL.md2.3 KB · Markdown

name: 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 haiku model to save cost
Max 5 agents per wave
Deep mode loops until satisfied

Additional Resources

For agent configuration, see references/agent-config.md

ai-dojo — Foundation for AI coding agents
research-scout — Single-agent research

Part of 🥋 AI Dojo Series by [Washin Village](https://washinmura.jp) 🐾

infinite-gratitude— agent skill

Is infinite-gratitude safe to install?

Infinite Gratitude 🐾

Quick Reference

Usage

Behavior

Step 1: Split Directions

Step 2: Dispatch Agents

Step 3: Collect Gifts

Step 4: Loop

Step 5: Final Report

Example Output

Notes

Additional Resources

Audit the pieces. Scan the whole. Decide.

Is infinite-gratitude safe to install?

Infinite Gratitude 🐾

Quick Reference

Usage

Behavior

Step 1: Split Directions

Step 2: Dispatch Agents

Step 3: Collect Gifts

Step 4: Loop

Step 5: Final Report

Example Output

Notes

Additional Resources

Related Skills

Audit the pieces. Scan the whole. Decide.