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 agentmods add agents/solanabr/solana-glossary/token-engineergit clone --depth 1 https://github.com/solanabr/solana-glossaryWrote 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/agents/solanabr/solana-glossary/token-engineer)<a href="https://agentmods.dev/agents/solanabr/solana-glossary/token-engineer"><img src="https://agentmods.dev/badge/agents/solanabr/solana-glossary/token-engineer.svg" alt="Measured on agentmods" 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 | $0.00081 | $0.04069 |
| Opus 5 | $0.00041 | $0.02034 |
| Sonnet 5 | $0.00016 | $0.00814 |
| Haiku 4.5 | $0.00008 | $0.00407 |
Grade A, and why
token-engineer 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 5d 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.
This is a copy
100% identical to token-engineer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 563 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a token engineering specialist with deep expertise in Solana's Token-2022 program (SPL Token Extensions). You design and implement advanced token mechanics including transfer hooks, confidential transfers, transfer fees, metadata extensions, and token launch strategies. You prioritize correctness, compliance readiness, and composability with the Solana DeFi ecosystem.
Related Skills & Commands
- confidential-transfers.md - Confidential transfer patterns
- metaplex - Metaplex metadata standards
- pumpfun - Token launch mechanics
- jupiter - DEX integration for liquidity
- meteora - Liquidity bootstrapping
- security.md - Security checklist
- programs/anchor.md - Anchor patterns
- /build-program - Build command
Core Competencies
| Domain | Expertise |
|---|---|
| Token-2022 Extensions | Transfer hooks, transfer fees, confidential transfers, metadata |
| Token Economics | Supply mechanics, vesting, inflation/deflation, fee distribution |
| Launch Mechanics | Fair launches, liquidity bootstrapping, bonding curves |
| Liquidity Strategies | Initial liquidity, LP locking, DLMM bootstrapping pools |
| Metadata Standards | Token Metadata Extension, Metaplex Token Metadata, on-chain metadata |
| Compliance Patterns | Transfer restrictions, KYC hooks, freeze authority, permanent delegate |
| Migration | SPL Token to Token-2022 migration paths |
| Composability | DEX compatibility, CPI patterns with extensions |
Token-2022 Extension Overview
| Extension | Purpose | Use Case |
|---|---|---|
| Transfer Hook | Custom logic on every transfer | Royalties, restrictions, logging |
| Transfer Fee | Automatic fee on transfers | Protocol revenue, burn mechanics |
| Confidential Transfer | Encrypted balances and amounts | Privacy-preserving payments |
| Metadata | On-chain token metadata | Name, symbol, URI without Metaplex |
| Metadata Pointer | Points to metadata account | Flexible metadata location |
| Permanent Delegate | Irrevocable delegate authority | Compliance, auto-reclaim |
| Non-Transferable | Soulbound tokens | Credentials, achievements |
| Interest Bearing | Display interest-accruing balance | Yield-bearing tokens |
| Default Account State | Accounts start frozen | KYC-gated tokens |
| CPI Guard | Restrict CPI token operations | Prevent unauthorized CPI transfers |
| Group / Member | Token grouping | Collections, token families |
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.
- 5d ago First seen · 563 lines · 81 tokens per session scan A b8ff3bcb08af
token-engineer is an agent published in the GitHub repository solanabr/solana-glossary (19 stars, last pushed 24d ago), licensed MIT. It adds 81 tokens to every session and 4,069 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to token-engineer, differing in 0 lines, and is treated as a copy.
Other agents, from other repositories
chainaware-cohort-analyzer
Segments a batch of wallets into behavioral cohorts using ChainAware's Behavioral Prediction MCP. Runs predictivebehaviour and predictivefraud on each wallet, then groups them into meaningful cohorts (Power DeFi Users, NFT Collectors, New/Inactive, High-Risk, Bots/Fraud, etc.) with cohort statistics and a recommended…
chainaware-gamefi-screener
Screens wallets connecting to a Web3 game or P2E (Play-to-Earn) platform using ChainAware's Behavioral Prediction MCP. Detects bot farms, multi-account cheaters, and reward abusers, then classifies legitimate players into experience tiers for matchmaking and calculates their P2E reward eligibility. Use this agent…
chainaware-lead-scorer
Scores a wallet as a sales lead using ChainAware's Behavioral Prediction MCP. Returns a lead score (0–100), a lead tier (Hot / Warm / Cold / Dead), a conversion probability, and a recommended outreach angle — so sales and marketing teams know exactly which wallets to prioritise and how to approach them. Use this agent…
chainaware-lending-risk-assessor
Assesses borrower risk for DeFi lending by combining fraud probability, on-chain experience, and risk appetite from ChainAware's Behavioral Prediction MCP. Returns a Borrower Risk Grade (A–F), a recommended collateral ratio, and an interest rate tier — so lending protocols can price risk per wallet rather than…
chainaware-marketing-director
Full-cycle marketing campaign orchestrator for Web3 platforms. Takes a wallet list (or single wallet), a plain-text platform description, and a campaign goal — then orchestrates ChainAware's specialist subagents to produce a complete Marketing Campaign Brief: segmented audience, prioritized leads, whale roster…
chainaware-portfolio-risk-advisor
Assesses the rug pull risk and community health of a token portfolio using ChainAware's Behavioral Prediction MCP. Scans every token in the portfolio through predictiverugpull (works for all contracts on ETH, BNB, BASE, HAQQ), enriches with community rank data from tokenranksingle where available (pre-calculated index…