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Skills/boshu2/agentops/reverse-engineer-rpi
reverse-engineer-rpi logo

reverse-engineer-rpi

boshu2/agentops
827 installs392 stars
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Installation

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

Summary

Reverse-engineer product specs.

SKILL.md

/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.

Reference Documents

  • references/reverse-engineer-rpi.feature — Executable spec: repo-mode feature catalog + code map, binary-mode security audit, durable spec artifacts (soc-qk4b)

Score

0–100
55/ 100

Grade

C

Popularity15/30

827 installs — growing adoption.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Reverse Engineer Rpi skill score badge previewScore badge

Markdown

[![Reverse Engineer Rpi skill](https://www.remoteopenclaw.com/skills/boshu2/agentops/reverse-engineer-rpi/badges/score.svg)](https://www.remoteopenclaw.com/skills/boshu2/agentops/reverse-engineer-rpi)

HTML

<a href="https://www.remoteopenclaw.com/skills/boshu2/agentops/reverse-engineer-rpi"><img src="https://www.remoteopenclaw.com/skills/boshu2/agentops/reverse-engineer-rpi/badges/score.svg" alt="Reverse Engineer Rpi skill"/></a>

Reverse Engineer Rpi FAQ

How do I install the Reverse Engineer Rpi skill?

Run “npx skills add https://github.com/boshu2/agentops --skill reverse-engineer-rpi” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Reverse Engineer Rpi skill do?

Reverse-engineer product specs. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Reverse Engineer Rpi skill free?

Yes. Reverse Engineer Rpi is a free, open-source skill published from boshu2/agentops. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Reverse Engineer Rpi work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Reverse Engineer Rpi works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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