AccessiWeather: Skill for Codex

.codex/skills/pipeline/SKILL.md

pipeline is a skill for Codex from Orinks/AccessiWeather. It costs 14 tokens per session (672 once invoked), scanned A, original, MIT.

A configurable workflow runner for OMX that carries out work in ordered stages and can save progress to resume later.

In plain words
What is it for?
It is for running OMX workflows such as planning, assigning work to Codex command-line workers, and checking the results.
Why use it?
It keeps multi-step work in a consistent order and avoids losing progress when a run stops. Each stage can pass its results to the next one.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: mentions Codex.

This is Orinks/AccessiWeather's own configuration. It tells Codex how to work on AccessiWeather itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything AccessiWeather configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Orinks/AccessiWeather. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Orinks/AccessiWeather/main/.codex/skills/pipeline/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Orinks/AccessiWeather

Made for: 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 pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/orinks/accessiweather/pipeline.svg)](https://agentmods.dev/skills/orinks/accessiweather/pipeline)
Your own site
<a href="https://agentmods.dev/skills/orinks/accessiweather/pipeline"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/pipeline.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 672 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 $0.00014 $0.00672
Opus 5 $0.00007 $0.00336
Sonnet 5 $0.00003 $0.00134
Haiku 4.5 $0.00001 $0.00067

Measured 7d ago against content hash 06ccd90c1d81, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

pipeline 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.

.codex/skills/pipeline/SKILL.md · 87 lines

How it starts

The opening of the file, as written. The whole thing — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pipeline Skill

$pipeline is the configurable pipeline orchestrator for OMX. It sequences stages through a uniform PipelineStage interface, with state persistence and resume support.

Default Autopilot Pipeline

The canonical OMX pipeline sequences:

RALPLAN (consensus planning) -> team-exec (Codex CLI workers) -> ralph-verify (architect verification)

Configuration

Pipeline parameters are configurable per run:

Parameter Default Description
maxRalphIterations 10 Ralph verification iteration ceiling
workerCount 2 Number of Codex CLI team workers
agentType executor Agent type for team workers

Stage Interface

Every stage implements the PipelineStage interface:

interface PipelineStage {
  readonly name: string;
  run(ctx: StageContext): Promise<StageResult>;
  canSkip?(ctx: StageContext): boolean;
}

Stages receive a StageContext with accumulated artifacts from prior stages and return a StageResult with status, artifacts, and duration.

Built-in Stages

  • ralplan: Consensus planning (planner + architect + critic). Skips only when both prd-*.md and test-spec-*.md planning artifacts already exist, and carries any deep-interview-*.md spec paths forward for traceability.
  • team-exec: Team execution via Codex CLI workers. Always the OMX execution backend.
  • ralph-verify: Ralph verification loop with configurable iteration count.

State Management

Pipeline state persists via the ModeState system at .omx/state/pipeline-state.json. The HUD renders pipeline phase automatically. Resume is supported from the last incomplete stage.

  • On start: state_write({mode: "pipeline", active: true, current_phase: "stage:ralplan"})
  • On stage transitions: state_write({mode: "pipeline", current_phase: "stage:<name>"})
  • On completion: state_write({mode: "pipeline", active: false, current_phase: "complete"})

API

import {
  runPipeline,
  createAutopilotPipelineConfig,
  createRalplanStage,
  createTeamExecStage,
  createRalphVerifyStage,
} from './pipeline/index.js';

const config = createAutopilotPipelineConfig('build feature X', {
  stages: [
    createRalplanStage(),
    createTeamExecStage({ workerCount: 3, agentType: 'executor' }),
    createRalphVerifyStage({ maxIterations: 15 }),
  ],
});

const result = await runPipeline(config);

Read the full file on GitHub · 87 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 · 87 lines · 14 tokens per session scan A 06ccd90c1d81

Subscribe to this mod's changes

pipeline is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 13d ago), licensed MIT. It adds 14 tokens to every session and 672 once invoked, about $0.0001 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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