Token导航 LogoToken导航

Agent Skill · 研究检索

reverse-engineer-rpi(逆向工程 RPI)

reverse-engineer-rpi 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

reverse-engineer-rpi 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 12,268。

总安装 10,423周安装 430GitHub Stars 318下载 3,406核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:reverse-engineer-rpi(逆向工程 RPI)
来源仓库:https://github.com/boshu2/agentops
仓库路径:skills/reverse-engineer-rpi
安装命令:
npx skills add https://github.com/boshu2/agentops --skill reverse-engineer-rpi
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/boshu2/agentops --skill reverse-engineer-rpi

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

reverse-engineer-rpi 用于查找、检索和筛选与 Raspberry Pi 相关的逆向工程信息,适合在 Codex、Claude、Cursor、Gemini CLI 中进行硬件或固件分析。专注于树莓派设备的逆向工程资源和技术实现路径的整理。

通过关键词或设备型号触发检索,返回相关工具链、漏洞案例或分析方法。安装前建议核实仓库维护状态,注意是否涉及系统级操作或外设访问权限。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/reverse-engineer-rpi

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/boshu2/agentops --skill reverse-engineer-rpi;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

reverse-engineer-rpi 怎么安装?

在终端执行 npx skills add https://github.com/boshu2/agentops --skill reverse-engineer-rpi。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

reverse-engineer-rpi 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

reverse-engineer-rpi 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

reverse-engineer-rpi 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

reverse-engineer-rpi 用的人多吗?

公开数据是累计安装 10,423 次,近一周安装 430 次,下载 3,406 次,GitHub 318 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

reverse-engineer-rpi 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
reverse-engineer-rpi

逆向工程 RPI · 本页

10,423318需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

/reverse-engineer-rpi

Reverse-engineer a product into a mechanically verifiable feature inventory + registry + spec set, with optional security-audit artifacts and validation gates.

Hard Guardrails (MANDATORY)

  • Only operate on code/binaries you own or have explicit written authorization to analyze.
  • Do not provide steps to bypass protections/ToS or to extract proprietary source code/system prompts from third-party products.
  • Do not output reconstructed proprietary source or embedded prompts from binaries (index only; redact in reports).
  • Redact secrets/tokens/keys if encountered; run the secret-scan gate over outputs.
  • Always separate: docs say vs code proves vs hosted/control-plane.

One-Command Example

python3 skills/reverse-engineer-rpi/scripts/reverse_engineer_rpi.py ao \
  --authorized \
  --mode=binary \
  --binary-path="$(command -v ao)" \
  --output-dir=".agents/research/ao/"

If you do not have explicit written authorization to analyze that binary, do not run the above. Use the included demo fixture instead (see Self-Test below).

Repo-only example (no binary required):

python3 skills/reverse-engineer-rpi/scripts/reverse_engineer_rpi.py cc-sdd \
  --mode=repo \
  --upstream-repo="https://github.com/gotalab/cc-sdd.git" \
  --output-dir=".agents/research/cc-sdd/"

Pinned clone (reproducible):

python3 skills/reverse-engineer-rpi/scripts/reverse_engineer_rpi.py cc-sdd \
  --mode=repo \
  --upstream-repo="https://github.com/gotalab/cc-sdd.git" \
  --upstream-ref=v1.0.0 \
  --output-dir=".agents/research/cc-sdd/"

Invocation Contract

Required:

  • product_name

Optional:

  • --docs-sitemap-url (recommended when available; supports https://... and file:///...)
  • --docs-features-prefix (default: auto; detects best local docs prefix, falls back to docs/features/)
  • --upstream-repo (optional)
  • --upstream-ref (pin clone to a specific commit, tag, or branch; records resolved SHA in clone-metadata.json)
  • --local-clone-dir (default: .tmp/<product_name>)
  • --output-dir (default: .agents/research/<product_name>/)
  • --mode (default: repo; allowed: repo|binary|both)
  • --binary-path (required if --mode includes binary)
  • --no-materialize-archives (authorized-only; binary mode extracts embedded ZIPs by default; this disables extraction and keeps index-only)

Security audit flags (optional):

  • --security-audit (enables security artifacts + gates)
  • --sbom (generate SBOM + dependency risk report where possible; may no-op with a note)
  • --fuzz (only if a safe harness exists; timeboxed)

Mandatory guardrail flag:

  • --authorized (required for binary mode; refuses to run binary analysis without it)

Upstream Ref Pinning (--upstream-ref)

Use --upstream-ref to pin a repo-mode clone to a specific commit, tag, or branch. This makes analysis reproducible and allows golden fixtures to be diffed against a known baseline.

# Pin to a tag (reproducible)
python3 skills/reverse-engineer-rpi/scripts/reverse_engineer_rpi.py cc-sdd \
  --mode=repo \
  --upstream-repo="https://github.com/gotalab/cc-sdd.git" \
  --upstream-ref=v1.0.0 \
  --output-dir=".agents/research/cc-sdd/"

# Pin to a specific commit SHA
python3 skills/reverse-engineer-rpi/scripts/reverse_engineer_rpi.py cc-sdd \
  --mode=repo \
  --upstream-repo="https://github.com/gotalab/cc-sdd.git" \
  --upstream-ref=abc1234 \
  --output-dir=".agents/research/cc-sdd/"

When --upstream-ref is provided:

  • The clone is fetched with git fetch --depth=1 origin <ref> and checked out to FETCH_HEAD.
  • The resolved commit SHA is recorded in output_dir/clone-metadata.json for traceability.
  • Without --upstream-ref, a --depth=1 shallow clone of the default branch HEAD is used instead.

clone-metadata.json schema:

{
  "upstream_repo": "https://github.com/gotalab/cc-sdd.git",
  "upstream_ref": "v1.0.0",
  "resolved_commit": "<full SHA>",
  "clone_date": "YYYY-MM-DD"
}

Contract Outputs (output_dir/)

Repo-mode analysis writes machine-checkable contract files under output_dir/. These files use only relative paths, sorted lists, and stable keys — no absolute paths, no run-specific timestamps — so they can be committed as golden fixtures and diffed across runs.

Primary contract files:

FileDescription
feature-registry.yamlStructured feature inventory with mechanically-extracted CLI, config/env, and artifact surface
cli-surface-contracts.txtCLI surface: commands, flags, help text, framework, language
docs-features.txtFeatures extracted from documentation (docs say vs code proves)
clone-metadata.jsonUpstream repo URL, pinned ref, resolved commit SHA, clone date

Example feature-registry.yaml structure:

schema_version: 1
product_name: cc-sdd
upstream_commit: "abc1234..."
features:
  - name: cli-entry
    cli:
      language: node
      bin:
        cc-sdd: dist/cli.js
      help_text: "Usage: cc-sdd [options] ..."
  - name: config-surface
    config_env:
      config_file: ".cc-sdd/config.json"
      env_vars:
        - name: CC_SDD_TOKEN
          evidence: ["src/config.ts"]
Note: Contract outputs are written by --mode=repo (or --mode=both). Binary-mode outputs (binary-analysis.md, binary-symbols.txt, etc.) remain directly under output_dir/.

Fixture Test Workflow

Golden fixtures allow regression detection: commit a known-good fixture snapshot (contract files alongside the pinned clone-metadata.json), then diff future runs against it.

Running Fixture Tests

bash skills/reverse-engineer-rpi/scripts/repo_fixture_test.sh

This script (implemented in ag-w77.3):

  1. Reads skills/reverse-engineer-rpi/fixtures/cc-sdd-v2.1.0/clone-metadata.json to determine the pinned upstream ref.
  2. Runs reverse_engineer_rpi.py in repo mode with that ref into a temp output dir.
  3. Diffs the generated outputs against the committed golden fixtures (feature-registry.yaml, cli-surface-contracts.txt, docs-features.txt).
  4. Exits 0 if they match; exits non-zero with a unified diff if they drift.

The test requires network access to clone the upstream repo.

Updating Fixtures

When contracts legitimately change (new flags, new env vars, schema bumps), update the golden fixtures:

# 1. Re-run with the pinned ref to generate fresh contracts
python3 skills/reverse-engineer-rpi/scripts/reverse_engineer_rpi.py cc-sdd \
  --mode=repo \
  --upstream-repo="https://github.com/gotalab/cc-sdd.git" \
  --upstream-ref=<new-tag-or-sha> \
  --output-dir=".tmp/cc-sdd-refresh/"

# 2. Copy contracts into the fixture directory
cp .tmp/cc-sdd-refresh/feature-registry.yaml \
  skills/reverse-engineer-rpi/fixtures/cc-sdd-v2.1.0/feature-registry.yaml

# 3. Update the pinned clone metadata
cp .tmp/cc-sdd-refresh/clone-metadata.json \
  skills/reverse-engineer-rpi/fixtures/cc-sdd-v2.1.0/clone-metadata.json

# 4. Commit the updated fixtures
git add skills/reverse-engineer-rpi/fixtures/cc-sdd-v2.1.0/
git commit -m "fix(reverse-engineer-rpi): update cc-sdd golden fixtures to <new-tag-or-sha>"

Fixture files that must be committed for the test to pass:

  • skills/reverse-engineer-rpi/fixtures/cc-sdd-v2.1.0/clone-metadata.json
  • skills/reverse-engineer-rpi/fixtures/cc-sdd-v2.1.0/feature-registry.yaml
  • skills/reverse-engineer-rpi/fixtures/cc-sdd-v2.1.0/cli-surface-contracts.txt
  • skills/reverse-engineer-rpi/fixtures/cc-sdd-v2.1.0/docs-features.txt

Script-Driven Workflow

Run:

python3 skills/reverse-engineer-rpi/scripts/reverse_engineer_rpi.py <product_name> --authorized [flags...]

This generates the required outputs under output_dir/ and (when applicable) .agents/council/ and .agents/learnings/.

Outputs (MUST be generated)

Core outputs under output_dir/:

  1. feature-inventory.md
  2. feature-registry.yaml
  3. validate-feature-registry.py
  4. feature-catalog.md
  5. spec-architecture.md
  6. spec-code-map.md
  7. spec-cli-surface.md (Node, Python, or Go CLI detected; otherwise a note is written to spec-code-map.md)
  8. spec-clone-vs-use.md
  9. spec-clone-mvp.md (original MVP spec; do not copy from target)
  10. clone-metadata.json (when --upstream-repo is used; records resolved commit SHA)

Binary-mode extras:

  • binary-analysis.md (best-effort summary)
  • binary-embedded-archives.md (index only; no dumps)

Repo-mode extras:

  • spec-artifact-surface.md (best-effort; template/manifest driven install surface)
  • artifact-registry.json (best-effort; hashed template inventory when manifests/templates exist)

If --security-audit, also create output_dir/security/:

  • threat-model.md
  • attack-surface.md
  • dataflow.md
  • crypto-review.md
  • authn-authz.md
  • findings.md
  • reproducibility.md
  • validate-security-audit.sh

Self-Test (Acceptance Criteria)

End-to-end fixture (safe, owned demo binary with embedded ZIP):

bash skills/reverse-engineer-rpi/scripts/self_test.sh

This must show:

  • feature inventory generated
  • registry generated
  • registry validator exits 0
  • in security mode: validate-security-audit.sh exits 0 and secret scan passes

Examples

Scenario: Reverse-Engineer an Open-Source CLI in Repo Mode

User says: /reverse-engineer-rpi cc-sdd --mode=repo --upstream-repo="https://github.com/gotalab/cc-sdd.git" --upstream-ref=v1.0.0

What happens:

  1. The script shallow-clones the upstream repo at the pinned tag v1.0.0 and records the resolved SHA in clone-metadata.json.
  2. It scans the repo for CLI entry points, config/env surface, schema files, and artifact manifests, then writes feature-inventory.md, feature-registry.yaml, contract JSON, and all spec files under the output directory.

Result: A complete feature catalog and machine-checkable feature-registry.yaml are generated under .agents/research/cc-sdd/, ready for golden-fixture diffing.

Scenario: Binary Analysis With Security Audit

User says: /reverse-engineer-rpi ao --authorized --mode=binary --binary-path="$(command -v ao)" --security-audit

What happens:

  1. The script runs static analysis on the ao binary (file metadata, linked libraries, embedded archive signatures) and writes binary-analysis.md and binary-embedded-archives.md.
  2. It generates the full security audit suite (threat-model.md, attack-surface.md, findings.md, etc.) under output_dir/security/ and runs the secret-scan gate over all outputs.

Result: Binary analysis artifacts plus a validated security audit are produced; validate-security-audit.sh exits 0 confirming all security deliverables are present and secrets-clean.

Troubleshooting

ProblemCauseSolution
Script refuses to run binary analysisMissing --authorized flagAdd --authorized to confirm you have explicit written authorization to analyze the binary.
clone-metadata.json not generated--upstream-repo was not providedPass --upstream-repo (and optionally --upstream-ref) to enable clone metadata tracking.
Fixture test diff fails unexpectedlyUpstream repo changed or golden fixtures are staleRe-run with the pinned ref, copy fresh contracts into fixtures/, and commit the updated golden files (see Updating Fixtures).
spec-cli-surface.md not generatedNo recognized CLI framework (Node/Python/Go) detected in the repoCheck that the target repo has a discoverable CLI entry point; otherwise the CLI surface is documented in spec-code-map.md instead.
Network error during repo cloneFirewall, VPN, or GitHub rate limit blocking the shallow cloneVerify network connectivity, authenticate with gh auth login if the repo is private, or use --local-clone-dir to point at a pre-cloned directory.

平台分布

Codex

37.3%
按下载量换算1,270

Claude

27.17%
按下载量换算925

Cursor

18.39%
按下载量换算626

Gemini CLI

8.3%
按下载量换算283

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills