القائمة
Use when expanding NSS attack hypotheses via Hermes delegate_task before a pipeline run. Writes hermes_proposals JSON for external provider ingestion.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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 | hypothesis-expansion |
| description | Use when expanding NSS attack hypotheses via Hermes delegate_task before a pipeline run. Writes hermes_proposals JSON for external provider ingestion. |
Generate untrusted attack parameter proposals via delegate_task subagents (Grok OAuth). Output feeds the NSS pipeline as llm_expansion.provider: external.
kamino_shoestring.json or caller-specified)sources/kamino/recon.json when target is Kaminodata/security_results/semantic/<slug>/code_map.json and candidate_seeds.jsonl when presentfindings.json / grid seeds from prior pipeline stage metadatarun_id (e.g. kamino-immunefi-2026-06-YYYYMMDD)templates array, build delegate context:
parameter_spaces.py or sample one seed via CLI)delegate_task(
goal="Propose 2 diverse attack parameter variants for template <TEMPLATE>. Output JSON array of parameter objects only.",
context="Night Shift Security researcher. Template: <TEMPLATE>. Seed: <SEED_PARAMS>. Parameter space: <SPACE>. Catalog analogue: <ANALOGUE>. Recon: <RECON_SUMMARY>. Untrusted — must be valid JSON array.",
model="grok-4.3",
provider="xai-oauth"
)
data/security_results/hermes_proposals/<run_id>.json:{
"run_id": "...",
"campaign_id": "kamino-immunefi-2026-06",
"target_slug": "kamino",
"required_config": "src/night_shift_security/config/kamino_klend.json",
"allowed_templates": ["flash_loan_oracle", "composability_risk"],
"source_artifacts": ["data/security_results/semantic/kamino/code_map.json"],
"force_target": true,
"proposals": [
{
"template": "flash_loan_oracle",
"seed_id": "<optional seed hypothesis_id>",
"parameters": { "loan_fraction_of_ceiling": 0.3, "price_skew_severity": 0.6, "oracle_dependency_score": 0.8 },
"lineage": ["<seed_id>"],
"delegate_note": "composability angle vs mango analogue"
}
]
}
Symlink: ln -sf <run_id>.json data/security_results/hermes_proposals/latest.json
Run with explicit target pin:
.venv/bin/python -m night_shift_security.cli.main \
--proposals data/security_results/hermes_proposals/latest.json \
bounty loop --target <target_slug> --iterations 1
parameter_spaces.py exactly — wrong keys fail validate_hypothesis() silently (dropped proposals).seed_id must match actual seed hypothesis_id from sampled vectors or delegate proposals won't attach to seeds.--proposals is passed.target_slug / required_config now fails fast for forced proposals; that is intentional.