Bloom Discovery

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name: bloom-discovery version: 4.0.1 description: > Agent-native discovery skill for the intent economy. Analyzes your MentalOS, matches use cases to your installed skills, lets you claim SBT proof, and optionally reports usage metrics — all privacy-first with local analysis. homepage: https://bloomprotocol.ai category: agent-tools os: [macos, linux] network: base-mainnet metadata: { "openclaw": { "emoji": "🌸", "requires": { "bins": ["node", "npx"] } } }

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Bloom Discovery Skill

Don't browse 13,000 skills. Browse use cases.

Bloom Discovery is an agent-native skill that analyzes how you work, matches you to curated use cases, verifies your configuration, and lets you claim on-chain proof — so your agent works for you, not the other way around.

Capabilities

1. Personality Analysis (MentalOS)

Reads your USER.md and conversation history (~120 messages) to map your builder personality across 4 dimensions:

Learning (學習風格): Try First ↔ Study First

Decision (決策風格): Gut ↔ Deliberate

Timing (採用時機): Pioneer ↔ Pragmatist

Focus (投入方式): All-In ↔ Diversified

Outputs: Personality type (Visionary / Explorer / Cultivator / Optimizer / Innovator), custom tagline, hidden pattern insight, AI edge guide. Includes displayLabels with en/zh translations for all sections.

2. Use Case Discovery

Intent-driven skill browsing. Instead of searching 13,000 skills, you describe what you want to accomplish and Bloom matches you to curated use cases — each a tested combination of skills.

Fetches use case catalog from Bloom API

Matches against your personality spectrum (novelty-seekers get new use cases, risk-averse skip DeFi)

Keyword frequency threshold (≥ 3 mentions) to avoid noise

3. Verify Configuration & Claim SBT

Scans your installed skills (~/.openclaw/skills/) and verifies whether you have the right setup for a given use case.

Compares installed skills against use case requirements

Shows match percentage and missing capabilities

Claim flow: verified config → POST /api/claim → mint SBT or get web link

SBT = on-chain proof that you have a verified configuration

4. ERC-8004 Identity Registration

Register your agent identity on the ERC-8004 Agent Identity Registry (Base mainnet).

Sends your agent profile (name, skills, endpoint) to backend for registration

Backend handles the on-chain transaction

Registry contract: 0x8004A169FB4a3325136EB29fA0ceB6D2e539a432

5. Usage Metrics (Opt-in)

Anonymized usage reporting to improve recommendations for everyone.

Reads local OpenClaw skill directory to count install days and usage frequency

Reports only: skill name + usage count (no conversation content, no personal data)

Opt-in only — never sends data without explicit user consent

POST /api/metrics with minimal payload

Security & Privacy

✅ Local analysis — Conversation text analyzed on your machine, never uploaded ✅ Local Differential Privacy (ε=1.0) — Spectrum scores noised via Laplace mechanism before transmission ✅ SHA-256 fingerprint — Conversation hashed locally; only irreversible hash stored for dedup ✅ Minimal transmission — Server receives personality type + approximate scores only ✅ Minimal writes — Writes only ~/.bloom/agent-id.json (returning user token, 0600 permissions) and bloom-discoveries.md (local sync log). Never modifies session files or USER.md ✅ Atomic file writes — Uses tmp+rename pattern to prevent corruption ✅ User-initiated — Only runs when you explicitly invoke the skill ✅ Opt-in metrics — Usage data never sent without consent ✅ Open source — Full source at github.com/bloomprotocol/bloom-discovery-skill

❌ Raw conversation text is never sent to any server ❌ Wallet private keys are never transmitted ❌ Personal identifiable information is never collected ❌ No background data collection — only runs on explicit invocation

Triggers

"generate my bloom identity"

"create my identity card"

"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"

"what use cases match my skills"

Data Sources

Primary: USER.md + Conversation History

USER.md — Declared role, tech stack, interests, working style. Injected as first-class text into the personality analyzer. Falls back gracefully if not present.

Conversation history — Always available from OpenClaw sessions. Analyzes topics, interests, engagement patterns.

Requires: Minimum 3 messages in your session. If less than 3 messages, the skill returns a clear error.

Secondary: Installed Skills

~/.openclaw/skills/ — Scanned locally for use case verification. Never uploaded.

Output

Personality type (Visionary / Explorer / Cultivator / Optimizer / Innovator)

Custom tagline and description

MentalOS spectrum (Learning, Decision, Novelty, Risk — each 0-100)

Hidden pattern insight + AI-era playbook

Main categories and subcategories

Matched use cases with verification status

Recommended skills from the Bloom skill catalog (with match scores)

Dashboard link at bloomprotocol.ai

Technical Details

Version: 4.0.1

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

Network: Base (mainnet) — configurable via NETWORK env var

On-chain: ERC-8004 Identity Registry + BloomExclusivePass SBT

Requirements

Node.js 18+

No API keys or secrets required — the skill works out of the box

Optional environment variables:

- BLOOM_API_URL — API URL (default: https://api.bloomprotocol.ai) - DASHBOARD_URL — Dashboard URL (default: https://bloomprotocol.ai)

Installation

git clone https://github.com/bloomprotocol/bloom-discovery-skill.git
cd bloom-identity-skill
npm install

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Built by Bloom Protocol