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 case-reviewgit 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/case-review)<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/case-review"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/case-review/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/case-review"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/case-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00039 | $0.01599 |
| Opus 5 | $0.00019 | $0.00800 |
| Sonnet 5 | $0.00008 | $0.00320 |
| Haiku 4.5 | $0.00004 | $0.00160 |
Grade A, and why
case-review 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 11d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evidence Graph Review
Use this skill when a reverse engineering, forensics, CTF, or authorized security case needs a defensible handoff. It audits the existing work/<case>/ package without changing the case or touching a target.
Scope
This skill covers:
- Scope metadata and target-activity readiness
- Evidence record structure and reproducibility fields
- References from work items and timeline entries to Evidence
- Structured Findings and Paths in report Markdown
- Optional SHA-256 verification for case-local artifacts
- A Markdown or JSON review result for a report handoff
It MUST NOT perform reconnaissance, exploitation, dynamic instrumentation, or target changes. Those actions belong to the routed analysis skill and require the case scope gate.
ACTION REQUIRED
NOW: read../field-journal/precedent-reverse.mdand confirm that this is a review of an existing authorized case package.NOW: confirm the case path and choose read-only review mode.NEXT: read../tool-index.md; this skill uses only Python 3 standard library and does not require bootstrap.NEXT: runpython3 scripts/review_case.py <case-root> --format markdown.ACT: resolve every error, then rerun the review before claiming a handoff is complete.
Tool dependencies
| Tool | Required | Purpose | Auto-bootstrap |
|---|---|---|---|
| Python 3.9+ | Yes | Runs the read-only case review script | No, use the platform Python installation |
No network access or third-party package is required.
Workflow
Phase 1: Intake
Run the review against the existing case directory:
python3 skills/case-review/scripts/review_case.py work/<case> --format markdown
Confirm that scope.md, timeline.md, workitems.md, and evidence/ are present. A non-strict review reports scope warnings while a strict review treats warnings as handoff blockers.
建议下一步（选一个编号）
- 修复 scope.md 中的授权、范围或 network_profile 字段
- 继续检查 Evidence 记录的可复现命令和来源
- 导出当前 review 结果并附到阶段性报告
- 换 JSON 输出接入 CI 或其他审查工具
- 暂停，先确认审查范围
What ships with it
2 files 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.
- 11d ago First seen · 158 lines · 39 tokens per session scan A da9ca51e03f1
case-review is a skill published in the GitHub repository zhaoxuya520/reverse-skill (35,402 stars, last pushed 7d ago), licensed MIT. It adds 39 tokens to every session and 1,599 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 2026-08-30.
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