aiws-sdd-reverse-engineering

aiws-sdd-reverse-engineering is a skill for Claude Code, Codex from grojof/ai-workspace-generator. It costs 48 tokens per session (357 once invoked), scanned A, original, Apache-2.0.

A tool for reconstructing a draft REASONS specification, a document describing a system's rationale and behavior, from an existing codebase.

In plain words
What is it for?
Use it to inspect supported Python or browser-based project layouts, recover entities and operations, write a versioned draft, and prepare it for human review before audits.
Why use it?
It gives reviewers a starting specification when the project has no current spec or the code has drifted away from it, while marking details the code cannot reveal.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to inspect supported Python or browser-based project layouts, recover entities and operations, write a versioned draft, and prepare it for human review before audits.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/grojof/ai-workspace-generator/aiws-sdd-reverse-engineering
Install

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.

Any agent
npx skills add grojof/ai-workspace-generator --skill aiws-sdd-reverse-engineering
Clone the repo
git clone --depth 1 https://github.com/grojof/ai-workspace-generator

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for aiws-sdd-reverse-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/grojof/ai-workspace-generator/aiws-sdd-reverse-engineering/github.svg)](https://agentmods.dev/skills/grojof/ai-workspace-generator/aiws-sdd-reverse-engineering)
Your own site
<a href="https://agentmods.dev/skills/grojof/ai-workspace-generator/aiws-sdd-reverse-engineering"><img src="https://agentmods.dev/badge/skills/grojof/ai-workspace-generator/aiws-sdd-reverse-engineering/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.

agentmods 80×15 button for aiws-sdd-reverse-engineering

Your own site · 80×15
<a href="https://agentmods.dev/skills/grojof/ai-workspace-generator/aiws-sdd-reverse-engineering"><img src="https://agentmods.dev/badge/skills/grojof/ai-workspace-generator/aiws-sdd-reverse-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 357 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00048 $0.00357
Opus 5 $0.00024 $0.00179
Sonnet 5 $0.00010 $0.00071
Haiku 4.5 $0.00005 $0.00036

Measured 10d ago against content hash 8c32b0ab2479, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

aiws-sdd-reverse-engineering 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 10d 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.

skill-packs/aiws-sdd-reverse-engineering/SKILL.md · 26 lines

What it actually says

aiws-sdd-reverse-engineering — recover a spec from code (reviewer side)

When a project arrives without a spec (or its spec drifted), reconstruct a draft REASONS spec from the code so the sdd-audit-* skills have something to audit against. Reviewer/IT use; advanced.

How

  • Detect the profile from the layout (Profile A: pyproject.toml + layered src/; Profile B: index.html + js/).
  • Profile A: scan FastAPI routes, SQLAlchemy models, Pydantic schemas and use-cases to recover §2 Entities and §5 Operations. Profile B: scan index.html + JS modules for the operations and UI surfaces.
  • Write a versioned draft spec to {{paths.specs}}/<NNN>-<slug>.md with status: draft, a clear "reverse-engineered" banner, and TODO markers for sections the code can't reveal (business rationale, acceptance criteria, data-protection basis).

Hand-off

The draft must be confirmed by a human (sign-off → user-reviewed) before the audits run — the audits refuse drafts. Record the recovery in {{paths.changes}}/<change>/.

Files

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.

Changes

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.

  1. 10d ago First seen · 26 lines · 48 tokens per session scan A 8c32b0ab2479

Subscribe to this mod's changes

aiws-sdd-reverse-engineering is a skill published in the GitHub repository grojof/ai-workspace-generator (2 stars, last pushed 3d ago), licensed Apache-2.0. It adds 48 tokens to every session and 357 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 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens