Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.
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 zhaoxuya520/reverse-skill --skill radio-sdrgit clone --depth 1 https://github.com/zhaoxuya520/reverse-skillWrote 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/zhaoxuya520/reverse-skill/radio-sdr)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/radio-sdr"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/radio-sdr/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/zhaoxuya520/reverse-skill/radio-sdr"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/radio-sdr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk pass
- 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 | $0.00034 | $0.00416 |
| Opus 5 | $0.00017 | $0.00208 |
| Sonnet 5 | $0.00007 | $0.00083 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
radio-sdr 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 7d 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.
What it actually says
RF / SDR Security Research
ACTION REQUIRED（读完后立刻执行）
NOW: 频谱与发射受法律严格管制；仅授权频段/屏蔽室/实验目标NOW: scope 写明设备、频段、是否允许发射（默认只收）ACT: 只接收识别 → 解调分析 → 实验室复现评估
适用场景
- 无线遥控/传感器等非 Wi-Fi RF（授权）
- ADS-B/遥控等协议研究（合法接收）
- 与 wifi-wireless 分工：本 skill 偏 SDR 通用 RF；Wi-Fi 攻防走 R29
工作流
□ 法规与许可确认
□ 只收：识别中心频率与调制
□ GNU Radio / URH 分析
□ 重放仅屏蔽室且书面允许
□ 结论侧重：是否可未授权控制 / 加固建议
工具链
| 工具 | 用途 |
|---|---|
| RTL-SDR / HackRF（合规） | 收发硬件 |
| URH / GNU Radio | 分析 |
| Inspectrum | 信号 |
参考
references/sdr-lab-rules.md../wifi-wireless/../ot-ics/../hardware-security/
路由上下文
上游: MASTER R38
MUST NOT: 干扰公共通信、未授权发射
任务完成自检
- 是否默认只收并记录法规边界？
- Checklist？
What ships with it
1 file 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.
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.
- 7d ago First seen · 51 lines · 34 tokens per session scan A 2bd539bcea3c
radio-sdr is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,402 stars, last pushed 7d ago), licensed MIT. It adds 34 tokens to every session and 416 once invoked, about $0.0002 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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