| name | bloom |
| description | Agent-native discovery skill for the intent economy. Analyzes your MentalOS, matches use cases, verifies config, claims SBT proof, and reports opt-in usage metrics — all privacy-first with local analysis.
|
| user-invocable | true |
| command-dispatch | tool |
| metadata | {"requires":{"bins":["node","npx"],"env":["OPENCLAW_USER_ID"]},"optional_env":["JWT_SECRET","BLOOM_API_URL","DASHBOARD_URL","NETWORK"]} |
| permissions | ["read:conversations","read:filesystem","network:external"] |
Bloom Discovery
Don't browse 13,000 skills. Browse use cases.
Your agent analyzes how you work, matches you to curated use cases, verifies your configuration, and lets you claim on-chain proof.
What You Get
Personality Analysis (MentalOS)
- Personality Type — Visionary, Explorer, Cultivator, Optimizer, or Innovator
- Custom Tagline — A one-liner that captures your style
- MentalOS Spectrum — Learning, Decision, Novelty, Risk (each 0-100)
- Hidden Pattern Insight — Something about yourself you might not realize
- AI-Era Playbook — Your leverage, blind spot, and next move
- Tool Recommendations — Matched from the Bloom skill catalog
Use Case Discovery
- Describe your intent → get matched use cases (curated skill combinations)
- Personality-aware ranking (novelty seekers get new use cases, risk-averse skip DeFi)
- Each use case = tested combination of skills that solve a real problem
Verify & Claim SBT
- Scans
~/.openclaw/skills/ to verify you have the right setup for a use case
- Shows match percentage and missing capabilities
- Claim SBT = on-chain proof of your verified configuration
- No wallet? Get a web link instead
Usage Metrics (Opt-in)
- Anonymized usage reporting: skill name + frequency only
- Improves recommendations for everyone
- Never sends data without your explicit consent
How It Works
Just type /bloom in your chat.
Bloom reads your USER.md and recent conversations to:
- Map your MentalOS — your operating style across 4 dimensions
- Find your blind spots — patterns you might not notice yourself
- Match use cases — intent-driven skill combinations
- Verify your setup — check if you have what you need
- Recommend matched tools — personalized picks from the Bloom catalog
No surveys. No complex setup. No auth flows.
Quick Start
- Chat a little first (at least 3 messages) so Bloom has context.
- Type
/bloom.
- You'll get your Identity Card + use case matches + dashboard link.
- If you're brand new, Bloom will ask 4 quick questions and generate your card immediately.
Activation
Say any of these:
/bloom- "analyze me"
- "what's my builder type"
- "discover my personality"
- "create my bloom card"
- "find use cases for me"
- "verify my config"
- "claim my SBT"
Security & Privacy
✅ Local analysis — conversation text never leaves your device
✅ Local Differential Privacy (ε=1.0) — spectrum scores noised before transmission
✅ SHA-256 fingerprint — only irreversible hash stored for dedup
✅ Minimal transmission — server sees personality type + approximate scores only
✅ Read-only — never writes or modifies your files
✅ User-initiated — only runs when you invoke it
✅ Opt-in metrics — usage data never sent without consent
✅ Open source — github.com/bloomprotocol/bloom-discovery-skill
❌ Raw text never sent to any server
❌ Wallet keys never transmitted
❌ No PII collection
❌ No background data collection
Permissions & Data Flow
Read Conversations — Reads your last ~120 messages to detect interests and personality patterns. All conversation text is processed locally on your machine. Raw message content is never sent to any external server.
Read Filesystem — Reads ~/.openclaw/skills/ to verify installed skills against use case requirements. Directory listing only — no file content is read or transmitted.
External Network — After local analysis, sends only derived results to Bloom Protocol API (api.bloomprotocol.ai):
- Personality type (e.g. "The Visionary")
- MentalOS spectrum scores (4 numbers, 0-100)
- Interest categories (e.g. "AI Tools", "Productivity")
- Generated tagline and description
- Use case match results
- Opt-in usage metrics (skill name + frequency only)
Connections: api.bloomprotocol.ai (identity + catalog + metrics) · bloomprotocol.ai (dashboard, read-only)
Installation
clawhub install bloom-discovery
Technical Details
- Version: 4.0.0
- Privacy: LDP ε=1.0 + SHA-256 fingerprint
- Analysis Engine: MentalOS spectrum (4 dimensions) + category mapping
- Primary Signal: Conversation memory (~120 messages) + USER.md
- Processing Time: ~60 seconds (personality) + ~5 seconds (use case matching)
- Output: Personality card + use case matches + tool recommendations + dashboard URL
Built by Bloom Protocol
Making supporter identity portable and provable.
