Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add quillai-network/quillshield_skills --skill oracle-flashloan-analysisgit clone --depth 1 https://github.com/quillai-network/quillshield_skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/quillai-network/quillshield_skills/oracle-flashloan-analysis)<a href="https://agentmods.dev/skills/quillai-network/quillshield_skills/oracle-flashloan-analysis"><img src="https://agentmods.dev/badge/skills/quillai-network/quillshield_skills/oracle-flashloan-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/quillai-network/quillshield_skills/oracle-flashloan-analysis"><img src="https://agentmods.dev/badge/skills/quillai-network/quillshield_skills/oracle-flashloan-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00094 | $0.02670 |
| Opus 5 | $0.00047 | $0.01335 |
| Sonnet 5 | $0.00019 | $0.00534 |
| Haiku 4.5 | $0.00009 | $0.00267 |
Grade A, and why
oracle-flashloan-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Oracle & Flash Loan Analysis
Detect vulnerabilities where external price data can be manipulated or flash loans can exploit protocol logic within a single transaction. These two attack vectors are often combined and represent the most common DeFi attack pattern.
When to Use
- Auditing any DeFi protocol that reads external price data (lending, DEX, derivatives, yield aggregators)
- Reviewing Chainlink, Uniswap TWAP, Band Protocol, or custom oracle integrations
- Analyzing protocols that interact with or are accessible via flash loans
- Threat modeling for MEV, sandwich attacks, and price manipulation
- When a protocol uses
balanceOf(), pool reserves, or spot prices for critical calculations
When NOT to Use
- Contracts with no price dependencies or external data feeds
- Pure access control analysis (use semantic-guard-analysis)
- State-to-state invariant checking (use state-invariant-detection)
Core Concept: The Oracle Trust Hierarchy
Not all price sources are equally secure. Oracle vulnerabilities stem from the gap between assumed trust and actual manipulation resistance.
Trust Level (highest to lowest):
┌─────────────────────────────────────────────┐
│ Level 5: Multi-oracle consensus + circuit │
│ breakers + TWAP + staleness checks │
├─────────────────────────────────────────────┤
│ Level 4: Chainlink with full validation │
│ (staleness, sequencer, min answers) │
├─────────────────────────────────────────────┤
│ Level 3: Uniswap V3 TWAP (long window) │
│ Multi-block manipulation cost │
├─────────────────────────────────────────────┤
│ Level 2: Uniswap V2 TWAP (short window) │
│ or Chainlink WITHOUT staleness check │
├─────────────────────────────────────────────┤
│ Level 1: Spot price from single pool │ ← Manipulable via flash loan
│ or balanceOf() for pricing │
└─────────────────────────────────────────────┘
The Four-Phase Detection Architecture
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 267 lines · 94 tokens per session scan A 76ec7887dd6e
oracle-flashloan-analysis is a skill published in the GitHub repository quillai-network/quillshield_skills (121 stars, last pushed 5mo ago), licensed MIT. It adds 94 tokens to every session and 2,670 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
ansem-crypto
Use when evaluating crypto narratives, attention rotation, memecoin cycles, Solana-style ecosystem momentum, social distribution, and reflexive retail flows in an Ansem-style crypto market framework.
arthur-hayes-liquidity
Use when evaluating crypto markets through an Arthur Hayes-style liquidity lens: dollar liquidity, funding, risk appetite, cycle psychology, and macro-driven crypto positioning.
cobie-cycle-filter
Use when evaluating crypto decisions through a Cobie-style cycle filter: common-sense risk, narrative traps, leverage humility, and avoiding obvious stupid trades.
cryptocred-structure
Use when evaluating crypto charts through a CryptoCred-style structure lens: levels, confluence, market structure, risk definition, and educational technical process.
willy-woo-onchain
Use when evaluating Bitcoin and crypto cycles through a Willy Woo-style on-chain lens: holder behavior, realized value, supply dynamics, and on-chain demand.
prompt-proximity-architecture
Turn an approved measurement charter, ICPs, and buyer jobs into a budget-aware prompt coverage blueprint across proximity bands, aided status, information acts, journey states, roles, locales, evidence grades, partitions, and measurement lanes. Use before prompt wording to define required, optional, and prohibited…