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/DeepBitsTechnology/claude-pluginsWrote 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/deepbitstechnology/claude-plugins/analyze-binary)<a href="https://agentmods.dev/commands/deepbitstechnology/claude-plugins/analyze-binary"><img src="https://agentmods.dev/badge/commands/deepbitstechnology/claude-plugins/analyze-binary/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/deepbitstechnology/claude-plugins/analyze-binary"><img src="https://agentmods.dev/badge/commands/deepbitstechnology/claude-plugins/analyze-binary.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 | $0.00020 | $0.01085 |
| Opus 5.5 | $0.00008 | $0.00434 |
| Sonnet 5.5 | $0.00004 | $0.00217 |
| Haiku 4.5 | $0.00002 | $0.00109 |
Grade A, and why
analyze-binary scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. Call `prepare_upload(file_name="<name to store as>")`. It returns a one-time `curl` command (valid 10 minutes) with an `<ABSOLUTE_LOCAL_PATH>` placeholder. 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.
Binary File Analysis
Analyze a suspicious binary file using the remote Dr. Binary MCP server (Rizin triage, sandboxed deep analysis, and Ghidra decompilation).
Usage
Provide the full path to the suspicious file you want to analyze.
Analysis Process
Step 1: Upload the file to the remote workspace
The remote server cannot read your local filesystem, so the file must be uploaded first:
- Call
prepare_upload(file_name="<name to store as>"). It returns a one-timecurlcommand (valid 10 minutes) with an<ABSOLUTE_LOCAL_PATH>placeholder. - Run that
curlyourself with the Bash tool, substituting<ABSOLUTE_LOCAL_PATH>with the absolute path to the local file. The bytes upload directly to the server and never pass through the model context. - After a successful upload, refer to the file by its stored filename (the sandbox CWD is the workspace root) in all subsequent tool calls.
If the link has expired or was already used, call prepare_upload again for a fresh one.
Step 2: Triage with inspect_binary
Call inspect_binary(filepath="<filename>") for fast rz-bin triage:
- Basic File Information — file size and type, PE/ELF/Mach-O header, entrypoints
- Imports / Exports — API calls and exported functions
- Sections — .text, .data, .rsrc, etc.
- Strings & Symbols — readable strings and symbol-derived functions
(For hashes like MD5/SHA256, compute them in run_sandbox, e.g. sha256sum <filename>.)
Step 3: Deep analysis with run_sandbox + Rizin
Use run_sandbox(command="rizin -qc '<commands>' <filename>") for focused analysis:
aaa; afl— analyze and list functionsaaa; pdf @ <func>— decompile/disassemble a specific functionizz— strings across the whole file;ii— imports;iE— exports
The sandbox also provides radare2, binwalk, xxd, angr/pwntools/qiling (python3), qemu (qemu-{arch} -strace ...), apktool, jadx, and more. run_sandbox accepts an optional timeout (default 120s, max 600s).
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 · 133 lines · 20 tokens per session scan A 5c5248bc8b0c
analyze-binary is a command published in the GitHub repository DeepBitsTechnology/claude-plugins (49 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 20 tokens to every session and 1,085 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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