Borrowing it
Nothing to install: this file belongs to Orinks/AccessiWeather. 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/Orinks/AccessiWeather/main/.codex/skills/ultrawork/SKILL.mdgit 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/ultrawork)<a href="https://agentmods.dev/skills/orinks/accessiweather/ultrawork"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/ultrawork/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/orinks/accessiweather/ultrawork"><img src="https://agentmods.dev/badge/skills/orinks/accessiweather/ultrawork.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 105 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Excessive Agency · line 136 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00018 | $0.02042 |
| Opus 5.5 | $0.00007 | $0.00817 |
| Sonnet 5.5 | $0.00004 | $0.00408 |
| Haiku 4.5 | $0.00002 | $0.00204 |
Grade A, and why
ultrawork 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 1mo 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<Use_When>
- Multiple independent tasks can run simultaneously
- User says "ulw", "ultrawork", or explicitly wants parallel execution
- Task benefits from concurrent execution plus lightweight evidence before wrap-up
- You need a direct-tool lane plus optional background evidence lanes without entering Ralph </Use_When>
<Do_Not_Use_When>
- Task requires guaranteed completion with persistence, architect verification, or deslop/reverification -- use
ralphinstead (Ralph includes ultrawork) - Task requires a full autonomous pipeline -- use
autopilotinstead (autopilot includes Ralph which includes ultrawork) - There is only one sequential task with no parallelism opportunity -- execute directly or delegate to a single
executor - The request is still in plan-consensus mode -- keep planning artifacts in
ralplanuntil execution is explicitly authorized - User needs session persistence for resume -- use
ralph, which adds persistence on top of ultrawork </Do_Not_Use_When>
<Why_This_Exists> Sequential task execution wastes time when tasks are independent. Ultrawork keeps the execution branch fast while tightening the protocol: gather enough context first, define pass/fail acceptance criteria before editing, decide deliberately between local execution and delegation, and finish with evidence rather than vibes. </Why_This_Exists>
<Execution_Policy>
- Gather enough context before implementation. Start with the task intent, desired outcome, constraints, likely touchpoints, and any uncertainty that would change the execution path.
- If uncertainty is still material after a quick repo read, do a focused evidence pass first instead of immediately editing.
- Define pass/fail acceptance criteria before launching execution lanes. Include the command, artifact, or manual check that will prove success.
- Prefer direct tool work when the task is small, coupled, or blocked on immediate local context. Delegate only when the work is independent enough to benefit from parallel execution.
- When useful, run a direct-tool lane and one or more background evidence lanes at the same time. Evidence lanes can cover docs, tests, regression mapping, or bounded repo analysis.
- Fire independent agent calls simultaneously -- never serialize independent work.
- Always pass the
modelparameter explicitly when delegating. - Read
docs/shared/agent-tiers.mdbefore first delegation for agent selection guidance. - Auto-delegate
researcherwhen official docs, version-aware framework guidance, best practices, or external dependency behavior materially affect task correctness; treat it as an evidence lane, not a replacement primary workflow. - Use
run_in_background: truefor operations over ~30 seconds (installs, builds, tests). - Run quick commands (git status, file reads, simple checks) in the foreground.
- Apply the shared workflow guidance pattern: outcome-first framing, concise visible updates for speculative/blocked lanes, local overrides for the active workflow branch, evidence-backed validation, explicit stop rules, and continuation of clear safe execution branches instead of restarting or re-asking.
- If the user says
continue, continue the active workflow branch rather than restarting discovery or re-asking settled questions. </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.
- 1mo ago First seen · 176 lines · 18 tokens per session scan A 75a51501b3b5
ultrawork is a skill published in the GitHub repository Orinks/AccessiWeather (24 stars, last pushed 2d ago), licensed MIT. It adds 18 tokens to every session and 2,042 once invoked, about $0.0001 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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