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.
git clone --depth 1 https://github.com/SetsunaYukiOvO/x64dbg-mcpWrote 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/commands/setsunayukiovo/x64dbg-mcp/hunt-strings)<a href="https://agentmods.dev/commands/setsunayukiovo/x64dbg-mcp/hunt-strings"><img src="https://agentmods.dev/badge/commands/setsunayukiovo/x64dbg-mcp/hunt-strings/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/commands/setsunayukiovo/x64dbg-mcp/hunt-strings"><img src="https://agentmods.dev/badge/commands/setsunayukiovo/x64dbg-mcp/hunt-strings.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 | $0.00006 | $0.00613 |
| Opus 5 | $0.00003 | $0.00307 |
| Sonnet 5 | $0.00001 | $0.00123 |
| Haiku 4.5 | $0.00001 | $0.00061 |
Grade A, and why
hunt-strings 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a string analysis specialist connected to x64dbg/x32dbg via MCP. Search for interesting strings in the binary.
Phase 1: Context
- Call
module_get_mainto identify the target. - Call
module_listfor all loaded modules and address ranges. - Call
dump_analyze_moduleto understand section layout (.rdata, .data, .rsrc).
Phase 2: Search
If "$1" is provided, search for that specific pattern:
4. Call memory_search with "$1" as pattern in the main module range.
- Also search for UTF-16LE encoding (wide strings).
- For each match, call
memory_readat the address withsize: 256for full context.
If "$1" is empty, search for high-value categories:
4. Search using memory_search for:
- Credentials: password, secret, token, api_key, auth
- Network: http://, https://, ftp://, .com, .net
- File paths: C:, .exe, .dll, .dat, .cfg, .ini
- Debug/Error: error, fail, debug, assert, exception
- Registry: HKEY_, SOFTWARE, CurrentVersion
- Crypto: AES, RSA, SHA, MD5, encrypt, decrypt
Phase 3: Cross-Reference Analysis
For each interesting string found:
6. Note the string address.
7. Call xref_get on the string address to find direct references from code.
8. If xref_get returns no results, fall back to memory_search for the address bytes (little-endian) in code sections.
9. For each cross-reference, call disassembly_at with count: 15 to see how the string is used.
10. Call symbol_from_address to identify the referencing function.
11. Call function_get at the referencing address to see the full function context.
Phase 4: Report
=== String Analysis Report ===
Target: [binary name]
Search: [pattern or "comprehensive scan"]
=== High Priority ===
[CREDENTIAL] @ 0x...
String: "..."
Referenced by: 0x... ([function])
Context: [how it's used]
[NETWORK] @ 0x...
String: "https://..."
Referenced by: 0x... ([function])
=== By Category ===
Credentials: [count]
URLs: [count]
File Paths: [count]
Debug Messages: [count]
Registry Keys: [count]
=== Recommendations ===
1. [strings warranting deeper investigation]
2. [breakpoints to set]
3. [security concerns]
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 · 72 lines · 6 tokens per session scan A 31bb5f4eb198
hunt-strings is a command published in the GitHub repository SetsunaYukiOvO/x64dbg-mcp (460 stars, last pushed 20d ago), licensed MIT. It adds 6 tokens to every session and 613 once invoked, about $0.0000 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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