docs/SUBMISSION.md

# Public Plugins Directory submission materials

These materials prepare a draft submission; they do not claim OpenAI review, approval, or publication.

## Listing

- Name: Task ETA Tracker
- Submission type: Skills only
- Category: Productivity
- Short description: Track milestones and honest task ETA ranges.
- Long description: Estimate and revise completion-time ranges from milestones, observed elapsed time, required verification, blockers, and confidence without sacrificing acceptance criteria or pretending uncertain work is precisely predictable.
- Developer: Tim Yu
- Website: https://github.com/timyeou1234/task-eta-tracker
- Support: https://github.com/timyeou1234/task-eta-tracker/blob/main/SUPPORT.md
- Privacy: https://github.com/timyeou1234/task-eta-tracker/blob/main/PRIVACY.md
- Terms: https://github.com/timyeou1234/task-eta-tracker/blob/main/TERMS.md
- Logo: `assets/logo.png`
- Authentication: None
- MCP server: None
- Reviewer credentials: None

## Starter prompts

1. Estimate and track this task with milestone-based ETA ranges.
2. Reforecast the remaining work and explain why the ETA changed.
3. Tell me why this task is taking so long and what remains.

## Release notes — 0.1.0

Initial skills-only release. Task ETA Tracker builds an evidence-based forecast from observable completion criteria, three to seven milestones, elapsed time, mandatory verification, blockers, and uncertainty. It reports an optimistic-to-pessimistic range, likely center, and confidence; revises the forecast when evidence changes; distinguishes active work from external waits; and never treats the ETA as permission to weaken acceptance criteria. No MCP server, hosted service, authentication, analytics, or developer-controlled data storage is used.

## Suggested availability

Select only countries and regions where the verified publisher is prepared to support the listing and legal terms. Do not infer availability from repository access.

## USER-REQUIRED portal steps

- Confirm Apps Management write access in the submitting OpenAI organization.
- Complete and select the matching verified developer identity for Tim Yu.
- Confirm the website, support, privacy, and terms URLs resolve publicly.
- Review the legal text and selected countries or regions.
- Create a `Skills only` draft in the OpenAI Platform plugin submission portal.
- Upload the final skill bundle and `assets/logo.png`.
- Enter the listing, starter prompts, and reviewer cases from this repository.
- Complete policy attestations personally, then select Submit for Review.
- After approval, choose whether and when to publish. Submission, approval, and publication are distinct states.