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.
curl -O https://raw.githubusercontent.com/engasnm111/lnwjud/main/.agents/skills/lnwjud-scheduled-continuation/SKILL.mdgit clone --depth 1 https://github.com/engasnm111/lnwjudWrote 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/engasnm111/lnwjud/lnwjud-scheduled-continuation)<a href="https://agentmods.dev/skills/engasnm111/lnwjud/lnwjud-scheduled-continuation"><img src="https://agentmods.dev/badge/skills/engasnm111/lnwjud/lnwjud-scheduled-continuation/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.
<a href="https://agentmods.dev/skills/engasnm111/lnwjud/lnwjud-scheduled-continuation"><img src="https://agentmods.dev/badge/skills/engasnm111/lnwjud/lnwjud-scheduled-continuation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.04955 |
| Opus 5.5 | $0.00017 | $0.01982 |
| Sonnet 5.5 | $0.00008 | $0.00991 |
| Haiku 4.5 | $0.00004 | $0.00496 |
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.
Copies of this mod
2 near-identical copies found in the catalogue:
- jarvis-scheduled-continuation — 91% identical, 204 lines differ
- jarvis-scheduled-continuation — 91% identical, 204 lines differ
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_goalisactive. - 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_goaldefaults toscheduledContinuation:autoin the API. Selectoffexplicitly 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_goalfor durable state andsession_handoffonly for a bounded same-chat recovery summary. - Never invoke generic
handoff/claude-handoffskills as part of lnwjud scheduled continuation, and never callwrite_fileto createUSER_INSTRUCTIONS*,user-instruction*, or generichandoff/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.
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.
- 4d ago Changed 68f2924200b1
- 8d ago Changed · +16 lines · +12 tokens per session 97c4637e30a9
- 21d ago Changed · +2 lines ae5cc92b4d16
- 1mo ago Changed 6073ab4955a3
- 1mo ago Changed · +3 lines 04ee16e12c04
- 1mo ago Changed · +2 lines 5513b007a459
- 1mo ago Changed ac23ab52cd4c
- 1mo ago Changed bc79ee861adf
- 1mo ago Changed · +2 lines 114a264e4b46
- 1mo ago First seen · 149 lines · 30 tokens per session scan A e7b36b07917c
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.
lnwjud-scheduled-continuation compared with skills from other repositories
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|---|---|---|---|---|---|---|---|
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