decision-propagation

decision-propagation is a skill for Claude Code, Codex from DojoGenesis/mcp. It costs 47 tokens per session (3,152 once invoked), scanned A, original, MIT.

A method for tracking an architecture decision and updating all related documents. It keeps plans, specifications, dependencies, and status information aligned.

In plain words
What is it for?
Use it when a decision answers an open question, changes project scope, affects a release, or requires updates across several related documents.
Why use it?
A decision recorded in one document can leave other documents outdated or contradictory. This method helps trace the decision’s effects and keep the documentation consistent.

Skill for Claude CodeCodex

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

Good fit Use it when a decision answers an open question, changes project scope, affects a release, or requires updates across several related documents.

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Install with agentmods
npx agentmods add skills/dojogenesis/mcp/decision-propagation
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 DojoGenesis/mcp --skill decision-propagation
Clone the repo
git clone --depth 1 https://github.com/DojoGenesis/mcp

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 decision-propagation

README.md
[![agentmods](https://agentmods.dev/badge/skills/dojogenesis/mcp/decision-propagation.svg)](https://agentmods.dev/skills/dojogenesis/mcp/decision-propagation)
Your own site
<a href="https://agentmods.dev/skills/dojogenesis/mcp/decision-propagation"><img src="https://agentmods.dev/badge/skills/dojogenesis/mcp/decision-propagation.svg" alt="Measured on agentmods" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,152 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 $0.00047 $0.03152
Opus 5 $0.00023 $0.01576
Sonnet 5 $0.00009 $0.00630
Haiku 4.5 $0.00005 $0.00315

Measured 7d ago against content hash 10a9459fbf89, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

decision-propagation 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 7d 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.

internal/skills/bundled/agent-orchestration/decision-propagation/SKILL.md · 406 lines

How it starts

The opening of the file, as written. The whole thing — 406 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Decision-Propagation Protocol

I. The Philosophy

Architectural decisions are not isolated events. When a decision arrives—especially answering an open question in an existing document—it creates ripples across an entire ecosystem of interdependent files. A decision like "auth bypass" doesn't just answer one question; it changes scope in the master plan, triggers deferrals in other documents, and reshapes the status summary of the architecture.

Without a propagation protocol, decisions become stranded. A spec answers a question, but the master plan still lists it as open. A document defers work, but the dependency graph hasn't updated. The system becomes incoherent—different documents contradict each other about what is decided and when.

This skill prevents that dissonance by treating decision-propagation as a deliberate, multi-document process. The human provides the decision once, in one place. Your job is to trace where that decision echoes and update each location.

Core Principle: Decisions propagate or they die.

II. When to Use This Skill

Use the decision-propagation protocol when:

  • A human provides answers to open questions in a document or specification
  • An architectural decision changes the scope of a release or work track
  • A decision in one document affects the content, sequencing, or priorities of others
  • You need to defer work from one release to a later one based on new information
  • The STATUS file or master tracking document is out of sync with the decisions living in specs
  • Any time a decision made in one place must be reflected in many places

III. The Workflow: Five Steps

Step 1: Record Decisions at Source

Locate the document where the decision was made (scout, spec, or master plan section).

Replace the "Open Questions" section with "Decisions ([Name], [Date])". Number each decision:

## Decisions (Cruz, 2026-02-11)

### 1. Entity Backend Priority

**Decision:** Build entity-centric backend first, before other subsystems.

**Rationale:** Reduces scope and focuses team on core abstraction.

**Alternatives Considered:**
- Parallel development of all subsystems → Rejected: coordination overhead
- Start with API gateway → Rejected: needs entities first

**Impact Scope:**
- Defers non-entity tasks to later release
- Reshuffles parallel track allocation
- Affects integration timeline

**Effective Date:** 2026-02-11

---

### 2. Auth Bypass

**Decision:** Skip production auth layer; ship with debug token instead.

**Rationale:** Unblocks frontend integration work; auth hardening can move to later release.

**Alternatives Considered:**
- Build basic auth → Rejected: adds 2-3 weeks to timeline
- Use third-party auth → Rejected: external dependency, integration complexity

**Impact Scope:**
- Removes auth from current scope
- Adds auth to future scope
- Frontend work can proceed immediately
- Security posture (temporary degradation, acceptable for internal alpha)

**Effective Date:** 2026-02-11

Read the full file on GitHub · 406 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. 7d ago First seen · 406 lines · 47 tokens per session scan A 10a9459fbf89

Subscribe to this mod's changes

decision-propagation is a skill published in the GitHub repository DojoGenesis/mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 3,152 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.