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 mohitmishra786/low-level-dev-skills --skill reverse-engineeringgit clone --depth 1 https://github.com/mohitmishra786/low-level-dev-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/mohitmishra786/low-level-dev-skills/reverse-engineering)<a href="https://agentmods.dev/skills/mohitmishra786/low-level-dev-skills/reverse-engineering"><img src="https://agentmods.dev/badge/skills/mohitmishra786/low-level-dev-skills/reverse-engineering/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/mohitmishra786/low-level-dev-skills/reverse-engineering"><img src="https://agentmods.dev/badge/skills/mohitmishra786/low-level-dev-skills/reverse-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00076 | $0.01655 |
| Opus 5 | $0.00038 | $0.00827 |
| Sonnet 5 | $0.00015 | $0.00331 |
| Haiku 4.5 | $0.00008 | $0.00166 |
Grade A, and why
reverse-engineering 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 9d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reverse Engineering
Purpose
Guide agents through reverse engineering binaries: Ghidra project setup and decompilation, radare2 analysis workflow, Binary Ninja scripting, initial triage with strings/file/xxd, identifying C++ patterns (vtables, RAII), analyzing stripped binaries, and diffing with Diaphora or BinDiff.
When to Use
- Analyzing an unknown binary without source code
- Recovering algorithm logic from compiled executables
- Comparing two firmware versions for vulnerability patches
- Understanding malware or CTF challenge binaries
- Recovering symbols from stripped ELF/PE files
- Automating analysis with Ghidra or r2 scripts
Workflow
1. Initial triage
file suspicious_binary
strings -n 8 suspicious_binary | head -50
strings -el suspicious_binary # UTF-16 LE
xxd suspicious_binary | head -20
readelf -h suspicious_binary # ELF
objdump -d -M intel suspicious_binary | head -40
# Check protections
checksec --file=suspicious_binary
| Command | Reveals |
|---|---|
file |
Architecture, static/dynamic, stripped |
strings |
URLs, paths, error messages, keys |
readelf -s |
Symbol table (if not stripped) |
nm -D |
Dynamic symbols |
checksec |
RELRO, NX, PIE, canary |
2. Ghidra workflow
# Headless analysis
analyzeHeadless /tmp/ghidra_projects MyProject \
-import suspicious_binary \
-postScript ExportDecompile.java
# GUI: File → New Project → Import File → Analyze (Yes)
Key steps:
- Auto-analysis — let Ghidra complete disassembly
- Define functions —
Fat entry points if missed - Decompiler — Window → Decompiler (C-like output)
- Rename —
Lon variables/functions for clarity - Cross-references —
Ctrl+Shift+Fon function/data
// Ghidra script (Java) — list functions > 100 bytes
import ghidra.program.model.listing.*;
FunctionManager fm = currentProgram.getFunctionManager();
for (Function f : fm.getFunctions(true)) {
if (f.getBody().getNumAddresses() > 100)
println(f.getName() + " @ " + f.getEntryPoint());
}
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.
- 9d ago First seen · 209 lines · 76 tokens per session scan A 38726e18aba3
reverse-engineering is a skill published in the GitHub repository mohitmishra786/low-level-dev-skills (203 stars, last pushed 2mo ago), licensed MIT. It adds 76 tokens to every session and 1,655 once invoked, about $0.0004 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 2026-09-03.
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