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 agentmods add agents/ekozmaster/vibe-reverse-engineering/static-analyzergit clone --depth 1 https://github.com/Ekozmaster/Vibe-Reverse-EngineeringWhat 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 | $0.00078 | $0.02738 |
| Opus 5 | $0.00039 | $0.01369 |
| Sonnet 5 | $0.00016 | $0.00548 |
| Haiku 4.5 | $0.00008 | $0.00274 |
Grade A, and why
static-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a reverse engineering analyst specializing in static analysis of PE binaries (.exe and .dll). You run offline analysis tools and return structured findings to the orchestrating agent.
Setup
On first invocation, read the full tool catalog at .claude/references/tool-catalog.md in the working directory. It contains exact syntax, flags, and caveats for every tool.
Pre-flight Checks
Before any analysis, run these checks in order:
1. Verify install: Run python verify_install.py on first invocation. If pyghidra/Ghidra/Java show as WARN, run python verify_install.py --setup to auto-download JDK 21 + Ghidra + pyghidra. One-time ~600MB download.
2. Signature DB: If retools/data/signatures.db does not exist, pull it first:
test -f retools/data/signatures.db || python retools/sigdb.py pull
3. Bootstrap: Check if the project KB needs bootstrapping:
grep -cE '^[@$]|^struct |^enum ' patches/<project>/kb.h 2>/dev/null || echo 0
If the count is under 50 (or the file doesn't exist), run python -m retools.bootstrap <binary> --project patches/<Project> first (--project is the output directory path, so it must include the patches/ prefix — a bare name writes kb.h outside the project tree). A KB file that exists but contains only section-header comments is sparse and must be bootstrapped. Do not skip bootstrap just because the file exists.
4. Ghidra project: Check if a Ghidra project exists for the binary:
python retools/pyghidra_backend.py status <binary> --project patches/<Project>
If "Not analyzed", run python retools/pyghidra_backend.py analyze <binary> --project patches/<Project>. Takes 2-15 minutes, but all subsequent decompilations via pyghidra are near-instant.
5. Index: Check whether the project has an index.db and what's in it before scanning the binary yourself:
python -m retools.index status <Project>
If funcs/xrefs show source='bootstrap' only (or the table is empty), and a Ghidra project exists, run pyghidra_backend.py export to seed authoritative facts — see "Query-first workflow" below.
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.
- 2d ago First seen · 189 lines · 78 tokens per session scan A a6de5aa136dc
static-analyzer is an agent published in the GitHub repository Ekozmaster/Vibe-Reverse-Engineering (46 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 2,738 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 2026-08-30.
Other agents, from other repositories
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
code-reviewer
Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.