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 UnboundCompute/security-agent-skills --skill hunting-wallet-drainer-and-dapp-approval-abusegit clone --depth 1 https://github.com/UnboundCompute/security-agent-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/unboundcompute/security-agent-skills/hunting-wallet-drainer-and-dapp-approval-abuse)<a href="https://agentmods.dev/skills/unboundcompute/security-agent-skills/hunting-wallet-drainer-and-dapp-approval-abuse"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-wallet-drainer-and-dapp-approval-abuse/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/unboundcompute/security-agent-skills/hunting-wallet-drainer-and-dapp-approval-abuse"><img src="https://agentmods.dev/badge/skills/unboundcompute/security-agent-skills/hunting-wallet-drainer-and-dapp-approval-abuse.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 | $0.00199 | $0.02191 |
| Opus 5.5 | $0.00080 | $0.00876 |
| Sonnet 5.5 | $0.00040 | $0.00438 |
| Haiku 4.5 | $0.00020 | $0.00219 |
Grade A, and why
hunting-wallet-drainer-and-dapp-approval-abuse 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 1mo 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 — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunting wallet drainer and dApp approval abuse: users sign what they are shown, not what they mean
A wallet drainer does not break cryptography; it gets the user to authorize the theft themselves. Every token a dApp moves on a user's behalf requires an approval or a signed permit, and the danger is the gap between what the user believes they are authorizing and what the approval actually grants. A user who wants to swap one token often gets asked for an unlimited approval, granting the contract the right to move all of that token, forever, not just the amount for this trade. A signed permit or an approve-for-all can authorize spending far beyond the intended action. A blind-signing prompt shows an opaque blob instead of a human-readable action, so the user cannot see what they are agreeing to. And a spoofed spender address, a malicious contract, or a transaction whose displayed intent differs from its real effect turns a routine-looking click into a drain. The hunt is to look at every approval and signature a dApp asks for and compare the scope and the real effect against what the user is shown and actually needs. You hunt this by walking the approval flow as a user and checking what each prompt truly authorizes.
When to use
- A dApp front end asks users to grant token approvals, sign permits, or approve-for-all to interact with a contract.
- An approval may be unlimited or broader than the action needs, or a permit may authorize spending beyond the intended trade.
- A signing prompt may be a blind signature, or the spender or contract address may be spoofed or malicious.
Scope check
Test approval flows only against dApps and contracts you own or are authorized to assess, on testnets or a local fork with test wallets. Granting and exercising approvals moves real assets, so use test funds and never approve, drain, or move assets from a wallet or contract that is not yours. If you can't name the authorization, stop.
The loop
- Establish what the action actually needs first. Name the minimal authorization the intended interaction requires: which token, which spender, what amount, for how long. This is the false-positive killer: a flow that requests an exact-amount approval for the specific action, to a verified spender, with a human-readable prompt and a bounded lifetime, is asking for only what it needs. Name the minimal grant, then compare each prompt against it.
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.
- 1mo ago First seen · 143 lines · 199 tokens per session scan A 80526ff62ee1
hunting-wallet-drainer-and-dapp-approval-abuse is a skill published in the GitHub repository UnboundCompute/security-agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 199 tokens to every session and 2,191 once invoked, about $0.0008 per session on Opus 5.5. 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 2026-09-05.
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