spk-doctrine-spdd-reasons

spk-doctrine-spdd-reasons is a skill for Claude Code, Codex from Priivacy-ai/spec-kitty. It costs 30 tokens per session (156 once invoked), scanned A, original, MIT.

A workflow for creating and reviewing a REASONS Canvas in Spec Kitty's Structured-Prompt-Driven Development process. The canvas records why key mission decisions were made before later prompts rely on them.

In plain words
What is it for?
Use it when a mission enables SPDD and needs rationale prepared for specification, planning, or implementation.
Why use it?
It keeps prompt reasoning tied to actual mission decisions instead of leaving behind vague process notes.

Skill for Claude CodeCodex

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

Good fit Use it when a mission enables SPDD and needs rationale prepared for specification, planning, or implementation.

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Install with agentmods
npx agentmods add skills/priivacy-ai/spec-kitty/spk-doctrine-spdd-reasons
About the project

Spec Kitty is an open-source command-line tool that turns product requirements into a repository-based workflow for AI-assisted software development. It stores specifications, plans, tasks, acceptance criteria, reviews, and merge decisions in Git while giving agents isolated git worktrees for parallel implementation. The catalogue add-ons support the project's workflows for coordinating agents and governing their work.

Priivacy-ai/spec-kitty · 1,603 stars · on GitHub · spec-kitty.ai

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 Priivacy-ai/spec-kitty --skill spk-doctrine-spdd-reasons
Clone the repo
git clone --depth 1 https://github.com/Priivacy-ai/spec-kitty

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 spk-doctrine-spdd-reasons

README.md
[![agentmods](https://agentmods.dev/badge/skills/priivacy-ai/spec-kitty/spk-doctrine-spdd-reasons/github.svg)](https://agentmods.dev/skills/priivacy-ai/spec-kitty/spk-doctrine-spdd-reasons)
Your own site
<a href="https://agentmods.dev/skills/priivacy-ai/spec-kitty/spk-doctrine-spdd-reasons"><img src="https://agentmods.dev/badge/skills/priivacy-ai/spec-kitty/spk-doctrine-spdd-reasons/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 spk-doctrine-spdd-reasons

Your own site · 80×15
<a href="https://agentmods.dev/skills/priivacy-ai/spec-kitty/spk-doctrine-spdd-reasons"><img src="https://agentmods.dev/badge/skills/priivacy-ai/spec-kitty/spk-doctrine-spdd-reasons.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 156 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00030 $0.00156
Opus 5 $0.00015 $0.00078
Sonnet 5 $0.00006 $0.00031
Haiku 4.5 $0.00003 $0.00016

Measured 13d ago against content hash 9edcd544867d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

spk-doctrine-spdd-reasons 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 13d 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.

src/charter/offering/skills/spk-doctrine-spdd-reasons/SKILL.md · 21 lines

What it actually says

spk-doctrine-spdd-reasons

Use this skill when a mission opts into SPDD, REASONS Canvas work, or structured prompt rationale review.

Flow

  1. Confirm SPDD is selected by charter or mission context.
  2. Author or review the REASONS Canvas before downstream prompts depend on it.
  3. Keep rationale tied to mission decisions, not generic process commentary.
  4. Return approved rationale to specify, plan, or implementation steps.

Legacy Alias

For detailed REASONS workflow, use spec-kitty-spdd-reasons when available.

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. 13d ago First seen · 21 lines · 30 tokens per session scan A 9edcd544867d

Subscribe to this mod's changes

spk-doctrine-spdd-reasons is a skill published in the GitHub repository Priivacy-ai/spec-kitty (1,603 stars, last pushed 5d ago), licensed MIT. It adds 30 tokens to every session and 156 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 2026-08-30.