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.
npx agentmods add skills/orinks/accessiweather/autopilotnpx skills add Orinks/AccessiWeather --skill autopilotgit 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/autopilot)<a href="https://agentmods.dev/skills/orinks/accessiweather/autopilot"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/autopilot.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 | $0.00023 | $0.02211 |
| Opus 5 | $0.00012 | $0.01105 |
| Sonnet 5 | $0.00005 | $0.00442 |
| Haiku 4.5 | $0.00002 | $0.00221 |
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 5d 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 — 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
$ralphor 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:
-
Phase
ralplan— consensus planning gate- Ground the task with pre-context intake.
- Run or resume
$ralplanto produce/update PRD and test-spec artifacts. - When returning from a non-clean review, include
return_to_ralplan_reasonand the review findings as first-class planning input. - Required handoff artifact: an approved plan/test spec suitable for
$ralph.
-
Phase
ralph— implementation + verification loop- Run
$ralphfrom 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.
- Run
-
Phase
code-review— merge-readiness gate- Run
$code-reviewon the diff/artifacts produced by$ralph. - A clean review means final recommendation
APPROVEwith architectural statusCLEAR. COMMENT,REQUEST CHANGES, any architecturalWATCH/BLOCK, or any unresolved finding is not clean.- If not clean, increment the review cycle, persist
review_verdict, setreturn_to_ralplan_reason, and transition back to Phaseralplan.
- Run
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, thenralph, thencode-review. - Never skip directly from vague/freeform expansion to implementation; unclear input must be clarified or planned through
$ralplan. - A non-clean
$code-reviewalways returns to$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>
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.
- 5d ago First seen · 164 lines · 23 tokens per session scan A 7ab9b95b2829
autopilot is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 11d ago), licensed MIT. It adds 23 tokens to every session and 2,211 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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