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 tokenomist-ai/tokenomist-cli --skill tokenomist-burn-buybackgit clone --depth 1 https://github.com/tokenomist-ai/tokenomist-cliWrote 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/tokenomist-ai/tokenomist-cli/tokenomist-burn-buyback)<a href="https://agentmods.dev/skills/tokenomist-ai/tokenomist-cli/tokenomist-burn-buyback"><img src="https://agentmods.dev/badge/skills/tokenomist-ai/tokenomist-cli/tokenomist-burn-buyback/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/tokenomist-ai/tokenomist-cli/tokenomist-burn-buyback"><img src="https://agentmods.dev/badge/skills/tokenomist-ai/tokenomist-cli/tokenomist-burn-buyback.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 | $0.00033 | $0.01000 |
| Opus 5 | $0.00016 | $0.00500 |
| Sonnet 5 | $0.00007 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade A, and why
tokenomist-burn-buyback 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 10d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Burn & Buyback
Check token burn and buyback activity.
When to use
When you need to analyze deflationary mechanisms — how many tokens have been permanently burned or bought back from the market.
Commands
Burns
List all tokens with burns:
tok burn list --output json
Options:
| Option | Description |
|---|---|
--token-id <ids> |
Filter by token IDs (comma-separated) |
--page <number> |
Page number |
--page-size <number> |
Items per page |
tok burn list --token-id aptos,stellar --output json
Get burn events for a specific token:
tok burn detail <tokenId> --output json
Options:
| Option | Description |
|---|---|
--start <date> |
Start date (YYYY-MM-DD) |
--end <date> |
End date (YYYY-MM-DD) |
tok burn detail aptos --start 2024-01-01 --end 2024-12-31 --output json
Buybacks
List all tokens with buybacks:
tok buyback list --output json
Options:
| Option | Description |
|---|---|
--token-id <ids> |
Filter by token IDs (comma-separated) |
--page <number> |
Page number |
--page-size <number> |
Items per page |
tok buyback list --token-id aave --output json
Get buyback events for a specific token:
tok buyback detail <tokenId> --output json
Options:
| Option | Description |
|---|---|
--start <date> |
Start date (YYYY-MM-DD) |
--end <date> |
End date (YYYY-MM-DD) |
tok buyback detail aave --start 2024-01-01 --end 2024-12-31 --output json
Key output fields
Burn list:
totalBurnAmount— total tokens burned for this token
Burn detail:
burns[].burnDate— when the burn happenedburns[].amount— tokens burnedburns[].burnType— type of burn eventburns[].metadata.burnReasons— why tokens were burned
Buyback list:
totalBuybackAmount— total tokens bought back
Buyback detail:
buybacks[].buybackDate— when the buyback happenedbuybacks[].tokenAmount— tokens bought backbuybacks[].value— USD value of buybackbuybacks[].spentAmount/spentUnit— what was spent (e.g. USDC)
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.
- 10d ago First seen · 133 lines · 33 tokens per session scan A 9925537dc65b
tokenomist-burn-buyback is a skill published in the GitHub repository tokenomist-ai/tokenomist-cli (24 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 1,000 once invoked, about $0.0002 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.
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