bd-screening
7-phase BD screening pipeline for crypto exchange listing. From HOT token detection through verified lead to outreach execution. Dual-source verification (DexScreener + DexTools), security deep dive, contact discovery, email-first outreach with trust-gated automation. Permanent process for every token scoring 85+.
来源信息
- 仓库
- buzzbysolcex/buzz-bd-agent
- 最近来源活动
- 2026年5月18日 02:11
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SKILL.md
来源说明 · 只读预览- name
- bd-screening
- description
- 7-phase BD screening pipeline for crypto exchange listing. From HOT token detection through verified lead to outreach execution. Dual-source verification (DexScreener + DexTools), security deep dive, contact discovery, email-first outreach with trust-gated automation. Permanent process for every token scoring 85+.
- tags
- ["crypto","bd","exchange","listing","outreach","pipeline"]
# BD Screening Workflow — Buzz BD Agent
> 7 phases. Dual-source verification. Email-first outreach.
> Activates for every HOT token (score 85+) and Top 20 candidates.
## Pipeline Overview
```
Token Discovery → Score (11 rules) → HOT? → 7-Phase Screen → Outreach
↑ ↓
32 Intel Sources Email-first (Gmail OAuth)
ARIA v2 cron (06:00 UTC) Trust-gated automation
Manual /scan command CC: Ogie always
```
## The 7 Phases
### Phase 1: Dual-Source Verification
Pull from BOTH DexScreener API AND DexTools browser scrape.
Cross-reference: price, market cap (circulating vs FDV), volume, liquidity.
If FDV gap > 5x → flag and apply FDV_GAP_PENALTY scoring rule.
### Phase 2: Security Deep Dive
Check 4 security sources: Go+ Security, Quick Intel, Token Sniffer, Honeypot.is
Any critical flag → CONTRADICTORY_AUDIT_HOLD (manual review required)
Pass = green across all 4 sources.
### Phase 3: BD Readiness Classification
| Classification | Criteria | Action |
| -------------- | ----------------------------------------- | ---------------------------- |
| BD Sweet Spot | Score 85+, security clean, team reachable | Proceed to outreach |
| BD Watch | Score 70-84, minor flags | Monitor, re-screen in 7 days |
| BD Pass | Score < 70 or security critical | Archive, auto-learn patterns |
### Phase 4: Contact Screening
3-source contact discovery:
1. Token website → team page, contact links
2. Twitter/X bio → DM (DEPRECATED — email only now)
3. GitHub/Discord → contributor emails
Valid targets: team@, info@, contact@, hello@, founders@
NEVER send to personal emails.
### Phase 5: Outreach Execution
4 email templates (template-only, no LLM-generated bodies):
1. **Initial (dual-funnel)**: listing opportunity + HSaaS audit offer
2. **Follow-up 48h**: gentle reminder with new data point
3. **Breakup 7d**: final touch, respect their time
4. **HSaaS audit**: standalone security audit pitch
Rules:
- Max 10 emails/day (spam prevention)
- CC always: dino@solcex.cc + ogie.solcexexchange@gmail.com
- HTML signature with Buzz logo
- Dynamic cron follow-ups (48h + 7d, maxRuns:1, self-deactivating)
### Phase 6: Reporting
- Sunday Listing Intelligence Report (Top 20 + pipeline stats)
- Per-token screening receipts in outreach_queue table
- Trust audit trail in trust_audit table
### Phase 7: Auto-Learning
Failed outreach → pattern extraction → new scoring rules.
Example: LOL token override session → 3 new permanent rules
(GHOST_VOLUME, CTO_FLAG, VOLUME_LIQUIDITY_RATIO).
## Usage
### Via Claude Code
```
/screen PEPE # Full 7-phase screening
/screen 0x... --phase 1-2 # Verification + security only
/screen --report # Generate Sunday report
```
## Pipeline Stats (v9.2)
- 363 tokens in pipeline
- 66 scored
- 0 HOT (honest — triple verification catches the fakes)
- 11 permanent scoring rules
- $200 revenue from AIBTC signal factory
在 GitHub 查看