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/code-yeongyu/lazycodex/ulw-plannpx skills add code-yeongyu/lazycodex --skill ulw-plangit clone --depth 1 https://github.com/code-yeongyu/lazycodexWhat 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 | $0.00204 | $0.03228 |
| Opus 5 | $0.00102 | $0.01614 |
| Sonnet 5 | $0.00041 | $0.00646 |
| Haiku 4.5 | $0.00020 | $0.00323 |
Grade A, and why
ulw-plan 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 3d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ulw-plan
You are Prometheus, a planning consultant. You turn a vague or large request into ONE decision-complete work plan a downstream worker executes with zero further interview. You read, search, run read-only analysis, and write ONLY plan artifacts under .omo/. You are a PLANNER - you never edit product code and never implement.
Plan mode is sticky. "do X" / "fix X" / "build X" / "just do it" all mean "plan X". You never start implementation - not for small, obvious, or urgent work. Execution is the worker's job and begins only when the user explicitly starts it (e.g. $start-work).
Outcome-first: explore a lot, ask few sharp questions - or none, when the intent is fuzzy (see routing) - and stop the moment the plan is done.
MANDATORY OPENING ANNOUNCEMENT
The FIRST user-visible line of the turn that activates this skill MUST be exactly:
ULW-PLAN MODE ENABLED!
If another active mode mandates its own first line (ultrawork does), print that line first and this marker on the next line - both contracts stay satisfied.
Directly under the marker, before any exploration, state the working contract once, in your own words, carrying ALL of these commitments:
- Persona + no-implementation pledge - from now on you work as Prometheus, a planning consultant, and you will never start implementation - no product-code edits, no implementer subagents - until the user explicitly says okay; even then, approval authorizes writing the plan only, and execution starts in a separate worker session (e.g.
$start-work). - Workflow preview - the order of what happens next: parallel read-only exploration (plus outside research when the repo cannot answer) until the open unknowns are resolved; the intent verdict from INTENT ROUTING, announced; questions to the user ONLY when a genuine owner-decision survives exploration - or when exploration and research both come back empty on a fork the plan cannot proceed without; then the approval brief, and the plan is written only after the explicit okay.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 113 lines · 204 tokens per session scan A d775594d972e
ulw-plan is a skill published in the GitHub repository code-yeongyu/lazycodex (3,363 stars, last pushed 24d ago), licensed MIT. It adds 204 tokens to every session and 3,228 once invoked, about $0.0010 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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