lucid-fdn/lucid-plugins/research

Name: research
Author: lucid-fdn

Claude Code and agent skill by lucid-fdn/lucid-plugins

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By lucid-fdn
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lucid-fdn/lucid-plugins
lucid-quantum/skill/references/research/SKILL.md
Updated 5 Oct 2026
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Wallet fingerprinting, address clustering, and vulnerability research for target address intelligence

Install

npx vskill@latest install lucid-fdn/lucid-plugins/research

SKILL.md

Research

Advanced intelligence features for identifying wallet software, clustering related addresses, and tracking vulnerability research.

Wallet Fingerprinting

Identify wallet software from transaction patterns. Each wallet version has distinctive behaviors:

Feature	Weight	Values
nLockTime	0.30	`zero` (pre-0.8), `block_height` (0.8+)
Output ordering	0.25	`fixed` (early Qt), `random` (modern), `bip69` (Electrum)
tx_version	0.20	`1` (pre-BIP68), `2` (post-BIP68)
Sequence	0.15	`ffffffff` (no RBF), other (RBF-enabled)
Fee rate	0.10	< 5 sat/vB suggests early wallet (pre-fee market)

Known Wallet Signatures

Wallet	nLockTime	Output	Probable Modes
Bitcoin-Qt 0.1-0.3	zero	fixed	1 (LCG glibc), 2 (LCG MSVC), 6 (low-bits), 10 (OpenSSL)
Bitcoin-Qt 0.3-0.7	zero	fixed	5 (MT19937), 1, 2
Bitcoin-Qt 0.8+	block_height	random	0 (strong random) — unlikely vulnerable
Electrum 1.x	zero	bip69	5 (MT19937), 3 (SHA256-seq)
Blockchain.info 2011-2013	zero	random	17 (V8 MWC1616 Randstorm), 18 (V8 XorShift128+)
Android BitcoinJ	zero	bip69	12 (Java LCG)

Procedure

Fingerprint a target — Call quantum_fingerprint with Hash160 and observed tx patterns
List fingerprints — View accumulated fingerprint database
Apply to optimization — quantum_optimize automatically incorporates fingerprint probable_modes

References

wallet-signatures.md

Security

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Model reviewPassed

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Source

SKILL.md in the repositoryCheckinglucid-quantum/skill/references/research/SKILL.md

Popularity

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