alignment

alignment is a skill for Claude Code, Codex from xobotyi/cc-foundry. It costs 45 tokens per session (2,877 once invoked), scanned A, original, MIT.

A planning skill that turns a project brief and research findings into an agreed technical direction, while recording decisions for human review.

In plain words
What is it for?
It is for aligning on architecture, constraints, integration points, and design decisions before coding.
Why use it?
It separates factual research from design choices so people can correct the proposed approach before implementation begins.

Skill for Claude CodeCodex

Part of the the-blueprint plugin — 9 skills, 1 agent shipped together

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/xobotyi/cc-foundry/alignment
Any agent
npx skills add xobotyi/cc-foundry --skill alignment
Clone the repo
git clone --depth 1 https://github.com/xobotyi/cc-foundry

Made for: Claude Code, Codex.

Or install the-blueprint, the plugin that ships this one along with the rest of its 9 skills, 1 agent.

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 alignment

README.md
[![agentmods](https://agentmods.dev/badge/skills/xobotyi/cc-foundry/alignment.svg)](https://agentmods.dev/skills/xobotyi/cc-foundry/alignment)
Your own site
<a href="https://agentmods.dev/skills/xobotyi/cc-foundry/alignment"><img src="https://agentmods.dev/badge/skills/xobotyi/cc-foundry/alignment.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,877 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 $0.00045 $0.02877
Opus 5 $0.00023 $0.01438
Sonnet 5 $0.00009 $0.00575
Haiku 4.5 $0.00005 $0.00288

Measured yesterday against content hash a59486fde3b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

alignment 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 yesterday.

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.

plugins/the-blueprint/skills/alignment/SKILL.md · 275 lines

How it starts

The opening of the file, as written. The whole thing — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Alignment

Declare every pattern you intend to follow and every design opinion you've formed — explicitly, with evidence and reasoning — so the human can correct them before implementation begins. Research produces facts; alignment is where you form and surface opinions for correction.

Prerequisites

Locate the inputs:

  1. Brief — check conversation context first; fall back to design-docs/NN-name.brief.md; if absent, ask whether to run discovery.
  2. Research — check conversation context first; fall back to design-docs/NN-name.research.md; if absent, ask whether to run research.
  3. Glossary — load docs/glossary.md if present. If absent (first iteration), schedule creation at Phase 3 end (see Glossary maintenance below).

Process

Phase 1 — Synthesize

  1. Read the brief, research, and glossary (if present).
  2. From research, extract:
    • Codebase patterns with prevalence (dominant convention vs isolated instance).
    • Integration points and boundaries relevant to the brief's goals.
  3. From the brief, extract:
    • Motivation, desired end state, constraints, non-goals.
    • Flagged term ambiguities — unresolved terms discovery surfaced for alignment to resolve.
    • Not-yet-specified items — unknowns discovery could not yet phrase as precise questions. Check each against the research findings: graduate the ones research has sharpened into open questions for Phase 3; carry the rest into the alignment document unchanged.
  4. From the glossary, extract:
    • Canonical vocabulary to use throughout alignment.
    • Definitions that constrain pattern choices (e.g., "Customer owns CustomerId" forbids cross-context FKs).
  5. Form opinions: which patterns to follow, which to deviate from, and why.

Phase 2 — Surface Patterns

Present patterns you intend to follow as a structured block:

  • Pattern: [what]
  • Found in: [where, prevalence — e.g., "12/15 files in internal/auth/"]
  • Intend to follow: yes / no / partially
  • Reason: [why]

Read the full file on GitHub · 275 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. yesterday First seen · 275 lines · 45 tokens per session scan A a59486fde3b1

Subscribe to this mod's changes

alignment is a skill published in the GitHub repository xobotyi/cc-foundry (20 stars, last pushed 2d ago), licensed MIT. It adds 45 tokens to every session and 2,877 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 2026-09-04.

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