lnwjud: Skill for Claude Code

.agents/skills/lnwjud-scheduled-continuation/SKILL.md

lnwjud-scheduled-continuation is a skill for Claude Code, Codex from engasnm111/lnwjud. It costs 42 tokens per session (4,955 once invoked), scanned A, original, MIT.

Instructions for continuing one long-running lnwjud task across multiple ChatGPT turns until it reaches a verified final state. It is intended for work that may outlast a single response.

In plain words
What is it for?
Use it for lengthy builds, test runs, or managed background tasks that need automatic handoffs and completion checks.
Why use it?
It prevents unfinished builds, tests, or background jobs from stopping just because the current turn ended or the user did not type a continuation request.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents); mentions AGENTS.md; mentions Codex.

This is engasnm111/lnwjud's own configuration. It tells Claude Code and Codex how to work on lnwjud 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 lnwjud configures →

Reuse

Borrowing it

Nothing to install: this file belongs to engasnm111/lnwjud. 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/engasnm111/lnwjud/main/.agents/skills/lnwjud-scheduled-continuation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/engasnm111/lnwjud

Made for: Claude Code, 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.

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README.md
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Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,955 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 $0.00042 $0.04955
Opus 5.5 $0.00017 $0.01982
Sonnet 5.5 $0.00008 $0.00991
Haiku 4.5 $0.00004 $0.00496

Measured 4d ago against content hash 68f2924200b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lnwjud-scheduled-continuation 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 4d 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

.agents/skills/lnwjud-scheduled-continuation/SKILL.md · 174 lines

How it starts

The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.

lnwjud Scheduled Continuation

One user request owns one durable goal and at most one live Native ChatGPT watchdog. Current mainline uses one hourly recurring Native ChatGPT Scheduled Task in the current chat with cloud execution requested. The same native task ID survives ordinary wakes until the durable goal is accepted and the exact task is made non-runnable.

Authorization and current contract

Use scheduled continuation only when the user authorized it for this task. Updating this skill, requesting a release, or enabling a host Goal does not itself authorize a native schedule. Reuse an existing goal's workspace, goal key, connector, and scheduledContinuation setting. For a new durable goal without scheduling authorization, explicitly pass scheduledContinuation: off; continue manual work normally. An explicit opt-out stops scheduled continuation and never abandons the durable goal.

Before changing workflow guidance, inspect the current runtime through CodeGraph when .codegraph/ exists. The source contracts are goal-tools.ts, scheduled-continuation-tools.ts, and registry-runtime-port.ts. Read root AGENTS.md for repository rules. Installed connector tools may lag source; resolve their advertised schema in the current session before calling them. A missing tool or stale schema is a transport/version limitation, not permission to invent an API or change schedulers.

Non-negotiable outcome

  • Never require the user to type continue, ทำต่อ, or ask for status to resume unfinished work.
  • Never report completion while get_goal is active.
  • A ChatGPT Task marked Active proves only that the recurring schedule is enabled; it does not prove an MCP tool was invoked, the Goal lease was acquired, or any work ran between hourly firings. Verify the exact host last-run receipt, the first connector call and durable Goal/activity evidence before describing execution.
  • An hourly recurring ChatGPT Task cannot guarantee continuous model execution or a gap shorter than its next firing. If the Goal opted out, resume the same Goal manually; preserve that setting and report host/tool safety checks truthfully.
  • run_goal defaults to scheduledContinuation:auto in the API. Select off explicitly when scheduling was not authorized; an API default cannot grant user authorization.
  • For an authorized active goal, use exactly one Native ChatGPT recurring Scheduled Task: occurrence=interval, intervalMinutes=60, destination=current chat, cloud requested.
  • Never use lnwjud scheduler, Windows Task Scheduler, schtasks.exe, cron, shell timers, browser/DOM automation, or an undocumented scheduling API as a fallback.
  • Native task create/update/delete/disable is host-owned. Resolve the operation from the current ChatGPT host/tool registry; never invent or hard-code an internal operation name.
  • A native-host transport failure is scheduler degradation only. It never by itself completes, fails, or blocks the durable goal.
  • Keep raw lease tokens, credentials, private host task IDs, and internal session IDs out of user-visible text and native task prompts.
  • Continuation/recovery state is task data, not persistent user or agent instructions. Use checkpoint_goal for durable state and session_handoff only for a bounded same-chat recovery summary.
  • Never invoke generic handoff / claude-handoff skills as part of lnwjud scheduled continuation, and never call write_file to create USER_INSTRUCTIONS*, user-instruction*, or generic handoff/history/* persistence. Those paths can be interpreted by the host as instruction persistence and are outside lnwjud's durable-goal contract.
  • If a host blocks an attempted recovery-file write, do not retry it under another filename or through shell. Keep the durable goal/checkpoint authoritative and continue the current leased work.

Read the full file on GitHub · 174 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. 4d ago Changed 68f2924200b1
  2. 8d ago Changed · +16 lines · +12 tokens per session 97c4637e30a9
  3. 21d ago Changed · +2 lines ae5cc92b4d16
  4. 1mo ago Changed 6073ab4955a3
  5. 1mo ago Changed · +3 lines 04ee16e12c04
  6. 1mo ago Changed · +2 lines 5513b007a459
  7. 1mo ago Changed ac23ab52cd4c
  8. 1mo ago Changed bc79ee861adf
  9. 1mo ago Changed · +2 lines 114a264e4b46
  10. 1mo ago First seen · 149 lines · 30 tokens per session scan A e7b36b07917c

Subscribe to this mod's changes

lnwjud-scheduled-continuation is a skill published in the GitHub repository engasnm111/lnwjud (209 stars, last pushed 2d ago), licensed MIT. It adds 42 tokens to every session and 4,955 once invoked, about $0.0002 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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