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 skills/justinedevs/premortem/code-obfuscation-deobfuscationnpx skills add JustineDevs/premortem --skill code-obfuscation-deobfuscationgit clone --depth 1 https://github.com/JustineDevs/premortemWrote 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/justinedevs/premortem/code-obfuscation-deobfuscation)<a href="https://agentmods.dev/skills/justinedevs/premortem/code-obfuscation-deobfuscation"><img src="https://agentmods.dev/badge/skills/justinedevs/premortem/code-obfuscation-deobfuscation.svg" alt="Measured on agentmods" 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 | $0.00051 | $0.03525 |
| Opus 5 | $0.00026 | $0.01762 |
| Sonnet 5 | $0.00010 | $0.00705 |
| Haiku 4.5 | $0.00005 | $0.00352 |
Grade A, and why
code-obfuscation-deobfuscation 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 4d 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.
This is a copy
100% identical to code-obfuscation-deobfuscation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 392 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Code Obfuscation & Deobfuscation — Expert Analysis Playbook
AI LOAD INSTRUCTION: Expert techniques for identifying, classifying, and defeating code obfuscation in native binaries. Covers junk code, opaque predicates, SMC, control flow flattening, movfuscator, VM protectors (VMProtect/Themida/Code Virtualizer), string encryption, import hiding, and anti-disassembly tricks. Base models often conflate packing with obfuscation and miss the distinction between static and dynamic deobfuscation strategies.
0. RELATED ROUTING
- anti-debugging-techniques when the obfuscated binary also has anti-debug layers
- symbolic-execution-tools when using angr/Z3 for automated deobfuscation
- vm-and-bytecode-reverse for deep VM protector bytecode analysis
Quick identification picks
| Symptom in IDA/Ghidra | Likely Obfuscation | Start With |
|---|---|---|
| Flat CFG, single giant switch | Control flow flattening | Symbolic execution to recover CFG |
Only mov instructions |
movfuscator | demovfuscation / trace-based lifting |
| pushad/pushfd → VM entry | VM protector | Handler table extraction |
| XOR loop before code execution | SMC / string encryption | Dynamic analysis, breakpoint after decode |
| Impossible conditions (opaque predicates) | Junk code insertion | Pattern-based removal |
| All strings unreadable | String encryption | Hook decryption routine, or emulate |
| No imports in IAT | Import hiding | Trace GetProcAddress / hash resolution |
1. JUNK CODE & OPAQUE PREDICATES
1.1 Junk Code Insertion
Dead code that never affects program output, added to increase analysis time.
Identification:
- Instructions that write to registers/memory never read afterward
- Function calls whose return values are discarded and have no side effects
- Loops with invariant bounds that compute unused results
Removal strategy:
- Compute def-use chains (IDA/Ghidra data flow analysis)
- Mark instructions with no downstream use as dead
- Verify removal doesn't change program behavior (trace comparison)
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.
- 4d ago First seen · 392 lines · 51 tokens per session scan A ab19c3ed661d
code-obfuscation-deobfuscation is a skill published in the GitHub repository JustineDevs/premortem (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 51 tokens to every session and 3,525 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to code-obfuscation-deobfuscation, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
azure-mgmt-apicenter-dotnet
Azure API Center SDK for .NET. Centralized API inventory management with governance, versioning, and discovery. Use for creating API services, workspaces, APIs, versions, definitions, environments, deployments, and metadata schemas. Triggers: "API Center", "ApiCenterService", "ApiCenterWorkspace", "ApiCenterApi", "API…
azure-mgmt-botservice-dotnet
Azure Resource Manager SDK for Bot Service in .NET. Management plane operations for creating and managing Azure Bot resources, channels (Teams, DirectLine, Slack), and connection settings. Triggers: "Bot Service", "BotResource", "Azure Bot", "DirectLine channel", "Teams channel", "bot management .NET", "create bot".
azure-mgmt-fabric-dotnet
Azure Resource Manager SDK for Fabric in .NET. Use for MANAGEMENT PLANE operations: provisioning, scaling, suspending/resuming Microsoft Fabric capacities, checking name availability, and listing SKUs via Azure Resource Manager. Triggers: "Fabric capacity", "create capacity", "suspend capacity", "resume capacity"…
azure-search-documents-dotnet
Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. Covers SearchClient (queries, document CRUD), SearchIndexClient (index management), and SearchIndexerClient (indexers, skillsets). Triggers: "Azure Search .NET"…
azure-ai-agents-persistent-java
Azure AI Agents Persistent SDK for Java. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Triggers: "PersistentAgentsClient", "persistent agents java", "agent threads java", "agent runs java", "streaming agents java".
refresh-arm-sdk-release
WORKFLOW SKILL — Prepares Azure.ResourceManager SDK refresh pull requests in azure-sdk-for-net. WHEN: "prepare sdk refresh", "refresh Azure.ResourceManager package", "update ARM SDK from autorest tag", "refresh changelog dependencies". INVOKES: git and GitHub pull request tools for branch, commit, push, and PR…