align

A codebase scan that checks whether the project follows its written coding standards.

In plain words
What is it for?
Use it to review the backend, frontend, operator, runner, security code, or the whole project before a release or during regular maintenance.
Why use it?
It turns scattered convention rules into a scored report and points out places that do not follow them.

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/ambient-code/platform/align
Any agent
npx skills add ambient-code/platform --skill align
Clone the repo
git clone --depth 1 https://github.com/ambient-code/platform

Made for: Claude Code, Codex.

Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 704 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 $0.00093 $0.00704
Opus 5 $0.00046 $0.00352
Sonnet 5 $0.00019 $0.00141
Haiku 4.5 $0.00009 $0.00070

Measured 2d ago against content hash 16adc2bb86c9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

align 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 2d 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • align — 100% identical, 0 lines differ
skills/align/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Convention Alignment Check

Measure codebase adherence to documented conventions. Produces a scored report across 5 categories with ~34 checks.

Usage

/align                # Full codebase scan
/align backend        # Backend checks only
/align frontend       # Frontend checks only
/align operator       # Operator checks only
/align runner         # Runner checks only
/align security       # Security checks only

User Input

$ARGUMENTS

How It Works

  1. Parse scope from $ARGUMENTS (default: full scan)
  2. Dispatch the convention-eval agent with the scope
    • The agent runs in its own context window
    • It loads component-level convention docs
    • It runs all checks via grep/glob/bash
    • It produces a scored report
  3. Display the report to the user

Dispatching the Agent

Use the Agent tool to dispatch the convention-eval agent:

Agent({
  description: "Convention alignment check",
  prompt: "You are the convention-eval agent. Read your definition at .claude/agents/convention-eval.md, then run a ${scope} convention alignment check. Scope: ${scope} (one of: full, backend, frontend, operator, runner, security). Load all context files listed in your definition, run the checks, and report findings in the standard output format with scores."
})

If no scope is specified, run all categories.

Report Format

The agent produces a markdown report with:

  • Overall weighted score (0-100%)
  • Per-category scores (Backend, Frontend, Operator, Runner, Security)
  • Pass/fail per check with file:line references
  • Failures grouped by severity (Blocker > Critical > Major > Minor)
  • Top 3 recommendations for improvement

Categories and Weights

Category Checks Weight Key concerns
Backend 8 25% panic, service account misuse, error handling
Frontend 8 25% any types, raw HTML, manual fetch
Operator 7 20% OwnerReferences, SecurityContext, reconciliation
Runner 4 10% async patterns, credential handling
Security 7 20% RBAC, token redaction, input validation

Read the full file on GitHub · 83 lines

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. 2d ago First seen · 83 lines · 93 tokens per session scan A 16adc2bb86c9

Subscribe to this mod's changes

align is a skill published in the GitHub repository ambient-code/platform (129 stars, last pushed 2d ago), licensed MIT. It adds 93 tokens to every session and 704 once invoked, about $0.0005 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.

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