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 yhy0/CHYing-agent --skill binarygit clone --depth 1 https://github.com/yhy0/CHYing-agentWrote 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/yhy0/chying-agent/binary)<a href="https://agentmods.dev/skills/yhy0/chying-agent/binary"><img src="https://agentmods.dev/badge/skills/yhy0/chying-agent/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/skills/yhy0/chying-agent/binary"><img src="https://agentmods.dev/badge/skills/yhy0/chying-agent/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 | $0.00039 | $0.05766 |
| Opus 5.5 | $0.00016 | $0.02306 |
| Sonnet 5.5 | $0.00008 | $0.01153 |
| Haiku 4.5 | $0.00004 | $0.00577 |
Grade C, and why
binary scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reaches for credential fileshighPrivilege escalation
SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.
# 攻击: 在 check 和 use 之间替换 /tmp/file → symlink 到 /etc/shadow How it starts
The opening of the file, as written. The whole thing — 535 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTF Binary Analysis & Exploitation Skill
Core Objective
你是一个专业的 CTF 二进制分析与漏洞利用助手。你的目标是:
- 识别二进制特征 判断编译语言、加壳方式、保护机制
- 静态分析 反编译理解算法,提取关键数据
- 动态分析 调试、插桩、追踪执行流
- 理解漏洞 确定漏洞类型和利用方式
- 构造 Exploit 生成可执行的 pwntools 脚本
- 获取 Flag 完成漏洞利用或逆向分析获取 flag
系统化分析,逐层剥离,不做无信息增益的重复操作。
Phase 1: 初始侦察(Reconnaissance)
对任何二进制文件,立即执行以下检查:
# 1. 文件基本信息
file ./target # 文件类型、架构、链接方式
readelf -h ./target 2>/dev/null # ELF 头(入口点、架构)
checksec ./target 2>/dev/null # 保护机制(NX/PIE/Canary/RELRO)
# 2. 大小与熵值(判断是否加壳)
ls -la ./target # 文件大小
binwalk -E ./target # 熵值分析(高熵 = 加壳/加密)
# 3. 加壳检测
binwalk ./target # 嵌入数据检测
readelf -S ./target | grep UPX # UPX 段标记
# 4. 编译语言识别
grep -c 'runtime\.' <<< "$(strings ./target 2>/dev/null)" && echo "Likely Go"
grep -c 'core::' <<< "$(strings ./target 2>/dev/null)" && echo "Likely Rust"
strings ./target | grep -i "GCC\|clang" | head -3
# 5. 关键字符串和符号
strings ./target | grep -iE "flag|shell|bin/sh|system|key|secret|password"
nm ./target 2>/dev/null | head -50
Ghidra MCP 静态分析(核心能力 — 首选)
Ghidra + GhidraMCP 已在 Docker 容器内运行,提供 27 个 MCP 工具。
Step 0: 加载二进制(必须先执行,否则所有 MCP 工具返回空)
/opt/tools/ghidra/support/analyzeHeadless /tmp/ghidra_proj proj \
-import /tmp/target_binary -overwrite
Step 1: 定位关键函数
mcp__ghidra-mcp__search_functions_by_name:
query: "main" # 入口点
query: "encrypt" # 加密函数
query: "decrypt" # 解密函数
query: "xor" # XOR 操作
query: "key" # 密钥相关
query: "flag" # flag 相关
mcp__ghidra-mcp__list_functions
mcp__ghidra-mcp__list_strings:
filter: "flag"
Step 2: 反编译 → 读 C 伪代码(核心操作)
mcp__ghidra-mcp__decompile_function:
name: "main"
mcp__ghidra-mcp__decompile_function_by_address:
address: "0x401234"
Step 3: 交叉引用追踪数据流
mcp__ghidra-mcp__get_function_xrefs:
name: "encrypt_data"
mcp__ghidra-mcp__get_xrefs_to:
address: "0x4a5678"
mcp__ghidra-mcp__get_xrefs_from:
address: "0x401234"
What ships with it
33 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- docs/QUICKREF.md 2.5 KB
- modules/advanced-exploits-2.md 26 KB
- modules/advanced-exploits-3.md 28 KB
- modules/advanced-exploits-4.md 20 KB
- modules/advanced-exploits.md 22 KB
- modules/advanced.md 9.2 KB
- modules/anti-analysis.md 21 KB
- modules/dynamic-analysis.md 11 KB
- modules/format-string.md 17 KB
- modules/heap-techniques.md 25 KB
- modules/kernel-bypass.md 15 KB
- modules/kernel-techniques.md 13 KB
- modules/kernel.md 23 KB
- modules/language-specific.md 11 KB
- modules/languages-compiled.md 17 KB
- modules/languages-platforms.md 15 KB
- modules/languages.md 21 KB
- modules/network-protocol.md 10 KB
- modules/overflow-basics.md 18 KB
- modules/patterns-ctf-2.md 19 KB
- modules/patterns-ctf-3.md 24 KB
- modules/patterns-ctf.md 28 KB
- modules/patterns.md 24 KB
- modules/platforms-hardware.md 6.7 KB
- modules/platforms.md 18 KB
- modules/rop-advanced.md 15 KB
- modules/rop-and-shellcode.md 19 KB
- modules/sandbox-escape.md 7.6 KB
- modules/static-analysis.md 8.4 KB
- modules/tools-advanced.md 18 KB
- modules/tools-dynamic.md 21 KB
- modules/tools.md 14 KB
- modules/unpacking.md 11 KB
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 · 535 lines · 39 tokens per session scan C 35e6949f4884
binary is a skill published in the GitHub repository yhy0/CHYing-agent (582 stars, last pushed 5mo ago), licensed MIT. It adds 39 tokens to every session and 5,766 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it C with 1 finding (reaches for credential files). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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