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.
curl -O https://raw.githubusercontent.com/Orinks/AccessiWeather/main/.codex/skills/pipeline/SKILL.mdgit clone --depth 1 https://github.com/Orinks/AccessiWeatherWrote 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.
[](https://agentmods.dev/skills/orinks/accessiweather/pipeline)<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>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.
| Model | Per session | Once 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 |
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.
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-*.mdandtest-spec-*.mdplanning artifacts already exist, and carries anydeep-interview-*.mdspec 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);
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.
- 7d ago First seen · 87 lines · 14 tokens per session scan A 06ccd90c1d81
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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