AccessiWeather: Skill for Codex

.codex/skills/autopilot/SKILL.md

autopilot is a skill for Codex from Orinks/AccessiWeather. It costs 23 tokens per session (2,211 once invoked), scanned A, original, MIT.

An autonomous delivery workflow for turning a concrete idea, issue, PRD, or requirements document into reviewed code. It runs planning, implementation, and code review in a loop until the review is clean or a blocker is reported.

In plain words
What is it for?
Use it for hands-off work that needs planning, coding, verification, and follow-up review; use a more focused workflow for a single change or review-only task.
Why use it?
It coordinates the main delivery stages and sends work back for another planning and implementation pass when review finds problems.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: $skill-name invocation.

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/autopilot/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 autopilot

README.md
[![agentmods](https://agentmods.dev/badge/skills/orinks/accessiweather/autopilot/github.svg)](https://agentmods.dev/skills/orinks/accessiweather/autopilot)
Your own site
<a href="https://agentmods.dev/skills/orinks/accessiweather/autopilot"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/autopilot/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for autopilot

Your own site · 80×15
<a href="https://agentmods.dev/skills/orinks/accessiweather/autopilot"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/autopilot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,211 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00023 $0.02211
Opus 5.5 $0.00009 $0.00884
Sonnet 5.5 $0.00005 $0.00442
Haiku 4.5 $0.00002 $0.00221

Measured 1mo ago against content hash 7ab9b95b2829, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

autopilot 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 1mo 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/autopilot/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

$ralplan -> $ralph -> $code-review

If $code-review is not clean, Autopilot returns to $ralplan with the review findings as the next planning input, then continues again through $ralph and $code-review until the review is clean or a hard blocker is reported.

<Use_When>

  • User wants hands-off execution from a concrete idea, issue, PRD, or requirements artifact to reviewed code
  • User says $autopilot, "autopilot", "auto pilot", "autonomous", "build me", "create me", "make me", "full auto", "handle it all", or "I want a/an..."
  • Task needs planning, implementation, verification, and code review with automatic follow-up when review is not clean </Use_When>

<Do_Not_Use_When>

  • User wants to explore options or brainstorm -- use $plan / $ralplan
  • User says "just explain", "draft only", or "what would you suggest" -- respond conversationally
  • User wants a single focused code change -- use $ralph or direct executor work
  • User wants only review/critique of existing code -- use $code-review </Do_Not_Use_When>

<Strict_Loop_Contract> Autopilot must not run a separate broad expansion/planning/execution/QA/validation lifecycle as its primary behavior. It delegates those concerns to the three canonical workflow phases below:

  1. Phase ralplan — consensus planning gate

    • Ground the task with pre-context intake.
    • Run or resume $ralplan to produce/update PRD and test-spec artifacts.
    • When returning from a non-clean review, include return_to_ralplan_reason and the review findings as first-class planning input.
    • Required handoff artifact: an approved plan/test spec suitable for $ralph.
  2. Phase ralph — implementation + verification loop

    • Run $ralph from the approved ralplan artifacts.
    • Ralph owns implementation, tests, build/lint/typecheck evidence, deslop where applicable, and architect verification.
    • Required handoff artifact: implementation evidence and changed-file summary suitable for $code-review.
  3. Phase code-review — merge-readiness gate

    • Run $code-review on the diff/artifacts produced by $ralph.
    • A clean review means final recommendation APPROVE with architectural status CLEAR.
    • COMMENT, REQUEST CHANGES, any architectural WATCH/BLOCK, or any unresolved finding is not clean.
    • If not clean, increment the review cycle, persist review_verdict, set return_to_ralplan_reason, and transition back to Phase ralplan.

The only normal terminal state is complete after a clean code review. Cancellation, blocked credentials, unrecoverable repeated failures, or explicit user stop may terminate earlier with preserved state. </Strict_Loop_Contract>

<Execution_Policy>

  • Always execute phases in order: ralplan, then ralph, then code-review.
  • Never skip directly from vague/freeform expansion to implementation; unclear input must be clarified or planned through $ralplan.
  • A non-clean $code-review always returns to $ralplan; do not patch findings ad hoc outside the loop.
  • Each phase must write/update Autopilot state before handing off.
  • Use existing hooks, .omx/state, $ralplan, $ralph, $code-review, and pipeline primitives; do not invent a separate execution framework.
  • Continue automatically through safe reversible phase transitions. Ask only for destructive, credential-gated, or materially preference-dependent branches.
  • Apply the shared workflow guidance pattern: outcome-first framing, concise visible updates for multi-step execution, local overrides for the active workflow branch, validation proportional to risk, explicit stop rules, and automatic continuation for safe reversible steps. Ask only for material, destructive, credentialed, external-production, or preference-dependent branches. </Execution_Policy>

Read the full file on GitHub · 164 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. 1mo ago First seen · 164 lines · 23 tokens per session scan A 7ab9b95b2829

Subscribe to this mod's changes

autopilot is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 2d ago), licensed MIT. It adds 23 tokens to every session and 2,211 once invoked, about $0.0001 per session on Opus 5.5. 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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