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 oyi77/1ai-skills --skill analyzing-android-malware-with-apktoolgit clone --depth 1 https://github.com/oyi77/1ai-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/oyi77/1ai-skills/analyzing-android-malware-with-apktool)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/analyzing-android-malware-with-apktool"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/analyzing-android-malware-with-apktool/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/oyi77/1ai-skills/analyzing-android-malware-with-apktool"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/analyzing-android-malware-with-apktool.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 | $0.00066 | $0.01054 |
| Opus 5 | $0.00033 | $0.00527 |
| Sonnet 5 | $0.00013 | $0.00211 |
| Haiku 4.5 | $0.00007 | $0.00105 |
Grade A, and why
analyzing-android-malware-with-apktool 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 8d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyzing Android Malware with Apktool
Overview
Android malware distributed as APK files can be statically analyzed to extract permissions, activities, services, broadcast receivers, and suspicious API calls without executing the sample. This skill uses androguard for programmatic APK analysis, identifying dangerous permission combinations, obfuscated code patterns, dynamic code loading, reflection-based API calls, and network communication indicators.
When to Use
Trigger phrases:
-
"analyzing android malware with apktool"
-
"Perform static analysis of Android APK malware samples using apktool for decompi"
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When investigating security incidents that require analyzing android malware with apktool
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When building detection rules or threat hunting queries for this domain
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When SOC analysts need structured procedures for this analysis type
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When validating security monitoring coverage for related attack techniques
Prerequisites
- Python 3.9+ with
androguard - apktool (for resource decompilation)
- jadx (for Java source recovery, optional)
- Isolated analysis environment (VM or sandbox)
- Sample APK files for analysis
Steps
# Example: IOC detection
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
- Parse APK with androguard to extract manifest metadata
- Enumerate requested permissions and flag dangerous combinations
- List activities, services, receivers, and providers from manifest
- Scan for suspicious API calls (reflection, crypto, SMS, telephony)
- Detect dynamic code loading patterns (DexClassLoader, Runtime.exec)
- Extract hardcoded URLs, IPs, and C2 indicators from strings
- Generate risk assessment report with MITRE ATT&CK mobile mappings
Expected Output
- JSON report with permission analysis, component listing, suspicious API calls, network indicators, and risk score
- Extracted strings and potential IOCs from the APK
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.
- 8d ago First seen · 123 lines · 66 tokens per session scan A 4fe31c21a115
analyzing-android-malware-with-apktool is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 1,054 once invoked, about $0.0003 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 2026-09-04.
Other skills, from other repositories
analyzing-android-malware-with-apktool
Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically…
analyzing-android-malware-with-apktool
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
analyzing-android-malware-with-apktool
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
analyzing-android-malware-with-apktool
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
analyzing-android-malware-with-apktool
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.
analyzing-android-malware-with-apktool
Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.