Menü
Use when querying NSS findings store campaign stats and lineage survival analytics.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Practitioner-elevated asset tracing patterns from SlowMist Crypto-Asset-Tracing-Handbook. Provides canonical property tables for obfuscation patterns (peel chains, mixers, bridge hops), address behavior clustering/risk profiling, cross-chain reconstruction workflows. Hard-first on behavioral + flow invariants. Integrates with codegraph-x-ray, deep-dive-handoff, and bounty forensics. Includes reference implementation for mixer deposit/withdrawal clustering. Trigger: alpha-miner on tracing handbook or similar.
Drop-in skill adapted from Glider query engine for static analysis, taint tracking, CFG/DFG traversal in bug bounty. Supports lazy reference loading, creativity layer for audited targets, integrates with bounty-loop. EVM priority with Solana compatibility.
Use for mining validator/runtime/cache/storage-key coherence bugs in blockchain clients, VMs, program loaders, bridge runtimes, and execution harnesses. Hard-first on stale cache, recycled identifier, partial flush, epoch/generation drift, mempool/order-dependent runtime state, and storage-key confusion. Trigger on runtime cache invariant, stale cache bug, VM storage confusion, client cache coherence, Aptos-style hijack, validator-local state, epoch-boundary bug, or when alpha-miner extracts runtime/client exploit engineering.
Cross-references a graphified target codebase (codegraph-x-ray output) against the local AuditVault corpus to surface structurally analogous historical vulnerabilities. Run after codegraph-x-ray has completed and produced invariants.md and property_candidates.md. Produces ranked pattern-match hits with per-finding graph anchor evidence. Pattern matches are advisory signals only — never evidence of exploitability and never a substitute for live reproduction or submission-gate validation.
Combines structured codegraph intelligence with rigorous invariant synthesis. Enforces high-quality usage of codegraph to identify the Primary Target Subsystem, then applies ordered structural invariant discovery with strict verification gates. Produces categorized invariants and high-quality property candidates ready for ultrafuzz-discovery. Trigger on codegraph-x-ray, x-ray with codegraph, invariant synthesis, primary subsystem invariants.
Optional accelerator and scaffolder for ultrafuzz-discovery. Brings parallel specialized invariant discovery agents, automated harness/handler scaffolding, coverage-driven refinement loops, property tagging, and reproducible test generation helpers from high-quality EVM fuzz patterns. Designed to speed up property fan-in and executable attempts phases while preserving NSS rigor, fresh-context pass@k, adjudication, and Crucible usage. Trigger on fuzz-scaffolder, accelerate invariant discovery, generate fuzz harness, scaffold handlers.
| name | knowledge-campaign |
| description | Use when querying NSS findings store campaign stats and lineage survival analytics. |
cd /home/kt/projects/rtp/night-shift-security
.venv/bin/python -m night_shift_security.cli.main knowledge \
--campaign kamino-immunefi-2026-06 \
--stats
# Lineage drill-down
.venv/bin/python -m night_shift_security.cli.main knowledge \
--hypothesis-id <id>
Store path: data/security_results/knowledge/findings_store.jsonl
campaign.id in run config (kamino_shoestring.json).