macOS Reverse
zhaoxuya520/reverse-skill
A skill your agent uses for authorized macOS and Mach-O reverse engineering including codesign, Objective-C/Swift recovery, endpoint security surfaces, and Apple platform malware analysis.
Guided reverse engineering workflow for binaries, firmware, mobile apps, scripts, document samples, protocol captures, and unknown artifacts.
$ npx skills add lingbol088-spec/reverse-flow-skill --skill reverse-flow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lingbol088-spec/reverse-flow-skill reverse-flow --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/lingbol088-spec/reverse-flow-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/reverse-flow .claude/skills/reverse-flow && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "reverse-flow" agent skill from https://github.com/lingbol088-spec/reverse-flow-skill/tree/main/skills/reverse-flow into .claude/skills/reverse-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reverse-flow", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/lingbol088-spec/reverse-flow-skill/tree/main/skills/reverse-flowType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add lingbol088-spec/reverse-flow-skill --skill reverse-flow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lingbol088-spec/reverse-flow-skill reverse-flow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingbol088-spec/reverse-flow-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/reverse-flow .agents/skills/reverse-flow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "reverse-flow" agent skill from https://github.com/lingbol088-spec/reverse-flow-skill/tree/main/skills/reverse-flow into .agents/skills/reverse-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reverse-flow", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lingbol088-spec/reverse-flow-skill --skill reverse-flow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lingbol088-spec/reverse-flow-skill reverse-flow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingbol088-spec/reverse-flow-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/reverse-flow .cursor/skills/reverse-flow && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "reverse-flow" agent skill from https://github.com/lingbol088-spec/reverse-flow-skill/tree/main/skills/reverse-flow into .cursor/skills/reverse-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reverse-flow", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/lingbol088-spec/reverse-flow-skill.git --path skills/reverse-flow--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add lingbol088-spec/reverse-flow-skill --skill reverse-flow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lingbol088-spec/reverse-flow-skill reverse-flow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingbol088-spec/reverse-flow-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/reverse-flow .gemini/skills/reverse-flow && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "reverse-flow" agent skill from https://github.com/lingbol088-spec/reverse-flow-skill/tree/main/skills/reverse-flow into .gemini/skills/reverse-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reverse-flow", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install lingbol088-spec/reverse-flow-skill reverse-flowInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add lingbol088-spec/reverse-flow-skill --skill reverse-flow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lingbol088-spec/reverse-flow-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/reverse-flow .github/skills/reverse-flow && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "reverse-flow" agent skill from https://github.com/lingbol088-spec/reverse-flow-skill/tree/main/skills/reverse-flow into .github/skills/reverse-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reverse-flow", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add lingbol088-spec/reverse-flow-skill --skill reverse-flow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lingbol088-spec/reverse-flow-skill reverse-flow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingbol088-spec/reverse-flow-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/reverse-flow .opencode/skills/reverse-flow && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "reverse-flow" agent skill from https://github.com/lingbol088-spec/reverse-flow-skill/tree/main/skills/reverse-flow into .opencode/skills/reverse-flow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "reverse-flow", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
reverse-flowGuided reverse engineering workflow for binaries, firmware, mobile apps, scripts, document samples, protocol captures, and unknown artifacts.
Reverse Flow is an agent skill from lingbol088-spec/reverse-flow-skill. Guided reverse engineering workflow for binaries, firmware, mobile apps, scripts, document samples, protocol captures, and unknown artifacts. Use when Codex is asked to perform reverse engineering, malware or suspicious-file analysis, static or dynamic analysis, decompilation planning, vulnerability discovery, exploitability assessment, root-cause analysis, patch diffing, firmware analysis, Android/iOS app analysis, or to produce analysis reports, deep reverse reports, evidence-backed vulnerability reports…
Its SKILL.md is about 2.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `README.md`, `agents/openai.yaml` and `references/capabilities.md`).
It sits in Security, covering Reverse engineering and malware, Capture the flag and Root cause analysis. It works with Android and iOS. The repository describes itself as: 面向 AI Agent / Codex 的本地 CTF 逆向工程流程技能。加载后通过“真心为你”进入逆向模式,默认在本地沙盒、CTF、crackme、wargame 或训练靶场环境中工作,按“分析 → 报告 → 逆向 → 深度逆向 → 漏洞研判 → 用户选择下一步”的流程推进。 The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 31667ce. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 4 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Reverse Flow loads about 2.4k tokens when it runs, and up to ~8.5k if it reads all its reference files. Until then it costs about 157 tokens; SKILL.md has 1,061 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from lingbol088-spec/reverse-flow-skill at commit 31667ce, republished under its MIT licence (© lingbol088-spec). 1,061 words, ~2,378 tokens.
.claude/skills/reverse-flow/SKILL.md (or your agent's skills folder). This skill also uses 14 other files; get the full folder from GitHub.After this skill is loaded, immediately start the reverse workflow with the exact activation phrase:
真心为你
Then tell the user they are in reverse mode using this Chinese user-facing message:
已进入逆向模式。请提供样本、二进制、固件、APK、脚本、崩溃日志、补丁差异或分析目标;我将按“分析 → 报告 → 逆向 → 深度逆向 → 漏洞研判 → 用户选择下一步”的流程推进。
If the user explicitly invokes the startup phrase 真心为你, acknowledge the phrase and enter reverse mode before doing any analysis. Keep the startup short unless an artifact is already provided.
Use English for internal reasoning, workflow rules, tool-selection logic, and phase control. Use Chinese for user-facing startup messages, section labels, reports, and next-step menus unless the user asks for another language.
Default bilingual section labels:
Assume the user is working in a local, isolated, authorized sandbox unless evidence clearly says otherwise. Optimize for continuing the user's requested reverse-engineering task with minimal friction:
If the task is ambiguous, start with safe local triage and ask only the one question that materially changes the next action.
Users may describe CTF-style tasks with informal phrases such as "unlock X", "remove X", "bypass X", "patch X", "make it pass", "去除校验", "解锁功能", "绕过检测", "去掉限制", or "拿 flag". In this skill, normalize those phrases into local reverse-engineering objectives before acting:
Do not force the user to repeat "this is CTF" every turn. Carry the CTF/local-sandbox assumption across the case.
Use this protocol whenever the user's wording is vague, emotionally phrased, imprecise, mixed-language, uses overloaded security terms, or combines multiple goals.
Do not stop just because the wording is imperfect. Treat ambiguity as an intent-recovery task.
Suggested Chinese wording:
我先按“本地沙盒内对该样本/模块做逆向分析”的目标处理。当前先执行不会破坏样本的离线分诊,并在结果后给你选择下一步。
Treat every task as a case. Keep outputs evidence-backed, reproducible, scoped, and reversible. Work in phases and let the user choose the next phase whenever a meaningful branch exists.
Default phase order:
artifacts/ or analyze by path without mutation.scripts/ for repeatable triage.Read only what is needed:
references/workflow.md: phase gates, deliverables, and next-step menu.references/capabilities.md: reverse-engineering capability checklist covering common artifact types and analysis skills.references/tooling-matrix.md: tool choices by platform/file type and what evidence to collect.references/tool-catalog.md: curated high-star reverse-engineering and security-analysis tools with category mapping.references/prompting.md: English-core reverse-mode prompt blocks for user-directed local sandbox work and ambiguous user-intent recovery, with Chinese user-facing templates.references/reverse-techniques.md: static, dynamic, decompilation, firmware, mobile, managed-runtime, and patch-diff techniques.references/evidence-reporting.md: report templates, evidence tables, confidence language, and advisory format.references/vulnerability-review.md: vulnerability classes, triage criteria, root-cause workflow, severity, and remediation structure.scripts/create_case.py: create a structured case workspace with report templates.scripts/triage_artifact.py: collect hashes, size, entropy, magic bytes, strings, profile hints, and recommended local tools into JSON/Markdown.scripts/report_from_triage.py: convert one or more triage JSON files into an initial Markdown report.scripts/tool_audit.py: detect locally available high-value reverse tools and recommend missing tools by profile.Use scripts with absolute paths. Example:
python <skill>/scripts/create_case.py --case-name sample-audit --goal "local sandbox reverse analysis" --out <workspace>
python <skill>/scripts/triage_artifact.py <artifact> --out <case>/triage
python <skill>/scripts/tool_audit.py --profile native --out <case>/tools/native-tool-audit.md
python <skill>/scripts/report_from_triage.py <case>/triage/*.json --out <case>/reports/initial-report.mdFor every case response, include the bilingual structure below. Chinese labels are preferred in user-facing reports:
When producing a final report, use references/evidence-reporting.md format unless the user requests another format.
© lingbol088-spec, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 14 other files (scripts, references) in skills/reverse-flow of lingbol088-spec/reverse-flow-skill.
Open the folder on GitHubat commit 31667ce
Reverse Flow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Reverse Flow this skilllingbol088-spec/reverse-flow-skill | 936 | — | ~2.4k | Automated safety check: Pass | MIT | |
| macOS Reversezhaoxuya520/reverse-skill | 40k | 2 repos | ~366 | Automated safety check: Pass | MIT | |
| R0crawl Skillsmanyuegong33/r0crawl_skills | 306 | — | ~1.2k | Automated safety check: Pass | None | |
| Mobile Reversesickn33/agentic-awesome-skills | 47k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Performing iOS App Security Assessmentmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Pass | Apache-2.0 | |
| Mobile Auditbriiirussell/cybersecurity-skills | 413 | — | ~2.6k | Automated safety check: Warn | MIT |
zhaoxuya520/reverse-skill
A skill your agent uses for authorized macOS and Mach-O reverse engineering including codesign, Objective-C/Swift recovery, endpoint security surfaces, and Apple platform malware analysis.
manyuegong33/r0crawl_skills
面向新手的全谱系逆向工程路由器,覆盖 Web/JavaScript、Android/iOS、Frida、脱壳、反分析、原生二进制、协议、固件、恶意软件、游戏、云 API、CTF、可复现一致性测试。用于逆向、起步、脱壳、反编译、hook、Frida、绕过检测、APK/SO/DEX/JS/PCAP/WASM/PE/ELF/Mach-O 分析、签名还原,或从样本到验证结果的完整调查。
sickn33/agentic-awesome-skills
Authorized Android/iOS application reverse engineering and security testing: APK/IPA analysis, runtime instrumentation (Frida/Objection), SSL-pinning and jailbreak/root-detection bypass, per OWASP…
mukul975/Anthropic-Cybersecurity-Skills
Performs comprehensive iOS application security assessments using Frida for dynamic instrumentation, Objection for runtime exploration, SSL pinning bypass for traffic interception, keychain…
briiirussell/cybersecurity-skills
Audit iOS and Android mobile applications against OWASP MASVS / MASTG — insecure storage, weak crypto, certificate pinning, deeplinks, IPC, jailbreak/root detection, reverse-engineering resistance.
rounak/PhoneAgent
Control a connected iPhone, iOS simulator, Android emulator, or Android device from macOS through PhoneAgent's JSON-RPC bridge.
Categories
Guided reverse engineering workflow for binaries, firmware, mobile apps, scripts, document samples, protocol captures, and unknown artifacts. Reverse Flow is an agent skill from lingbol088-spec/reverse-flow-skill. Guided reverse engineering workflow for binaries, firmware, mobile apps, scripts, document samples, protocol captures, and unknown artifacts.
Reverse Flow fits situations like: Codex is asked to perform reverse engineering; suspicious-file analysis; dynamic analysis; decompilation planning.
Run `npx skills add lingbol088-spec/reverse-flow-skill --skill reverse-flow -a claude-code`. Or copy the skill folder (skills/reverse-flow in lingbol088-spec/reverse-flow-skill) into .claude/skills/reverse-flow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add lingbol088-spec/reverse-flow-skill --skill reverse-flow -a codex`. Or copy the skill folder (skills/reverse-flow in lingbol088-spec/reverse-flow-skill) into .agents/skills/reverse-flow in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add lingbol088-spec/reverse-flow-skill --skill reverse-flow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reverse-flow, .gemini/skills/reverse-flow, .github/skills/reverse-flow and .opencode/skills/reverse-flow in your project.
Going by SKILL.md and its folder, Reverse Flow needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Reverse Flow is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.4k tokens (SKILL.md is roughly 9.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.2k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Reverse Flow: macOS Reverse (zhaoxuya520/reverse-skill, 40k stars), R0crawl Skills (manyuegong33/r0crawl_skills, 306 stars), Mobile Reverse (sickn33/agentic-awesome-skills, 47k stars) and Performing iOS App Security Assessment (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
lingbol088-spec (a GitHub user) maintains it in lingbol088-spec/reverse-flow-skill, which has 936 GitHub stars. The repository was last updated on July 24, 2026.
Source: lingbol088-spec/reverse-flow-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.