spec

spec is a skill for Claude Code, Codex from 0xrafasec/ai-workflow. It costs 82 tokens per session (2,153 once invoked), scanned A, original, MIT.

A skill that writes a detailed implementation specification for a proposed software feature. The document covers its scope, approach, affected files, and how to verify the work.

In plain words
What is it for?
Planning feature work, documenting affected code, and defining verification steps in a project specification.
Why use it?
It turns an idea into a shared written plan before coding starts. Numbering follows roadmap phases so specifications are easier to find and track.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/0xrafasec/ai-workflow/spec
Any agent
npx skills add 0xrafasec/ai-workflow --skill spec
Clone the repo
git clone --depth 1 https://github.com/0xrafasec/ai-workflow

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 spec

README.md
[![agentmods](https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/spec.svg)](https://agentmods.dev/skills/0xrafasec/ai-workflow/spec)
Your own site
<a href="https://agentmods.dev/skills/0xrafasec/ai-workflow/spec"><img src="https://agentmods.dev/badge/skills/0xrafasec/ai-workflow/spec.svg" alt="Measured on agentmods" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,153 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00082 $0.02153
Opus 5 $0.00041 $0.01077
Sonnet 5 $0.00016 $0.00431
Haiku 4.5 $0.00008 $0.00215

Measured 4d ago against content hash ec6a986e30b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

spec 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 4d 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.

skills/spec/SKILL.md · 158 lines

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.

Create a feature implementation spec for: $ARGUMENTS

Spec Numbering & Path

Every spec path starts with a zero-padded 3-digit prefix mirroring its roadmap phase number, so spec order matches roadmap order at a glance.

  • Single spec: docs/specs/NNN_<slug>.md
  • Sliced spec: docs/specs/NNN_<slug>/ containing README.md (index) and MMM_<slice>.md files. The directory-vs-file distinction is how sliced specs are identified — the NNN prefix stays on the directory, never moves to the children.
  • Separator between prefix and slug is _; within the slug, words are joined by - (e.g., 003_atlassian-integration.md, never atlassian_integration.md and never without the prefix).

Picking NNN:

  • If this spec implements a task in docs/roadmap/NNN_<phase>.md, use that same NNN. Check the roadmap file before picking.
  • Multiple specs in one phase → disambiguate with letter suffixes NNN.A_<name>.md, NNN.B_<name>.md, in task order. A lone spec in a phase has no suffix.
  • No roadmap yet → scan docs/specs/ and use max(existing) + 1. Don't renumber later when a roadmap is added.
  • Never renumber an existing spec — commits, PRs, and issues reference specs by path.

Before writing any file, state the target path and confirm it satisfies the rules above.

Context Gathering

Read what already exists before interviewing:

  1. Existing docs: docs/PRD.md or docs/prd/, docs/ARCHITECTURE.md, docs/TECHNICAL_DESIGN_DOCUMENT.md, docs/THREAT_MODEL.md, README.md, CLAUDE.md.
  2. Roadmap and specs directory: list docs/roadmap/ and docs/specs/ to pick the correct NNN per the rules above.
  3. Existing spec for this feature — if the user is revising, don't start from scratch.
  4. Inherited project with no docs: read README.md, explore directory structure, read key entry points, check git log --oneline -20, read package.json / Cargo.toml / pyproject.toml / equivalent. Summarize what you learned to the user before the interview — "Here's what I understand about this project so far: ..."

Read the full file on GitHub · 158 lines

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. 4d ago First seen · 158 lines · 82 tokens per session scan A ec6a986e30b3

Subscribe to this mod's changes

spec is a skill published in the GitHub repository 0xrafasec/ai-workflow (9 stars, last pushed 2d ago), licensed MIT. It adds 82 tokens to every session and 2,153 once invoked, about $0.0004 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.

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