Home / lstr-1 / skills · sex/skills/autopilot/SKILL.md · GitHub

autopilot skillA

autopilot is agent-read markdown (skill) from lstr-1/skills: Use this skill when running an autonomous session-orchestration loop. Chains session-start → session-plan → wave-executor → session-end for N iterations with kill-switches (SPIRAL, FAILED wave, carryover > 50%, max-hours, sub-threshold confidence). Reads Mode-Selector output (Phase B) to decide auto-execute vs. fallback. Writes one autopilot.jsonl record per loop run. Phase C scaffold (issue #277); implementation lives in scripts/lib/autopilot.mjs (Phase C-1 follow-up)..

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# Autopilot Skill

## Phase 0.5: Parallel-Aware Preamble

> Skip silently when `persistence: false` in Session Config.

Before any Phase 1 work, run the parallel-aware preamble per `skills/_shared/parallel-aware-preamble.md`. The preamble detects other active sessions in the worktree-family via `findPeers(repoRoot, { mySessionId })`, classifies the caller's mode via `classifyMode(callerMode)` against the exclusivity-matrix, and either:

- Returns `PASS_THROUGH` (no other session / `always-ok` mode) → continue to Phase 1
- Returns `EXCLUSIVE_BLOCKED` → fires Exclusive-Conflict AUQ from `skills/_shared/parallel-aware-auq.md`
- Returns `PROMOTION_OFFER` → fires Worktree-Promotion AUQ (via `enterWorktree()` from `scripts/lib/autopilot/worktree-pipeline.mjs` — see `parallel-aware-auq.md` outcome-handling)

On any non-PASS_THROUGH outcome that does not result in immediate exit, append a Deviation to STATE.md via `appendDeviationOnDisk(repoRoot, isoTimestamp, message)` from `scripts/lib/state-md.mjs`.

**Implementation reference:** `skills/_shared/parallel-aware-preamble.md § Implementation`.
**AUQ reference:** `skills/_shared/parallel-aware-auq.md`.

## Status
…

Read the whole file at its exact version.

How to install

Latest version
mdr add lstr-1/skills/autopilot@git:20260922.11fdbec
Exact content
mdr add lstr-1/skills/autopilot@sha256:c76a56a206b4c44f

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

Badge

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[![mdr](https://markdownregistry.com/badge/art_644r56i4uy5nujbz.svg)](https://markdownregistry.com/a/art_644r56i4uy5nujbz)

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Versions

versioncommittedcommitsizeaudit
git:20260922.11fdbec latest2026-09-22 11fdbec 19,349 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (19349 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

lstr-1/skills · 2 stars · license none · pushed 2026-09-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_644r56i4uy5nujbz
GET https://markdownregistry.com/api/v1/resolve?ref=lstr-1/skills/autopilot
GET https://markdownregistry.com/api/v1/blob/c76a56a206b4c44fb80c55642958f626dc5a24bef8bd0f315f63fc0b095c380f

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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