evaluate-auto-implement-eligibility
GitHub评估已分类的GitHub Issue是否符合自动实现工厂队列资格,通过8个严格条件(如仅客户端、根因明确等)进行筛选。
Trigger Scenarios
Install
npx skills add warpdotdev/oz-for-oss --skill evaluate-auto-implement-eligibility -g -y
SKILL.md
Frontmatter
{
"name": "evaluate-auto-implement-eligibility",
"description": "Evaluates whether a triaged GitHub issue is eligible for the factory auto-implement queue. Use during issue triage after the primary triage pass is complete."
}
Factory Auto-Implement Eligibility
Determine whether this issue is a candidate for the factory
auto-implement queue. When eligible, the workflow adds the
factory-auto-implement label only. It does not assign oz-agent
and does not apply the creation-time auto-implement label (that
label is reserved for trusted issues labeled at open time, which skip
triage entirely). The bar is deliberately high.
Decision rule
All of the following gates must pass. If any gate fails, or if you are
uncertain about any gate, the answer is false.
Gate 1: Bug only
The issue describes an observed behavior that is clearly wrong. Enhancements, feature requests, performance improvements, and vague improvement requests are never eligible, even if fully specified.
Gate 2: Visual bugs must be objectively wrong, not a matter of taste
Exclude issues where the desired outcome is a judgment call — e.g. "this button should be a different color", "this spacing feels off", or any report that expresses a personal opinion about appearance. A visual bug is eligible only when the correct state is unambiguous: a missing icon, a broken layout that clearly corrupts the UI, text that is visibly truncated or overlapping, or a rendering glitch with a clear non-rendering root cause. When in doubt, exclude it.
Gate 3: Root cause known with high or medium confidence
The triage investigation must have identified a plausible root cause and
relevant code. If the root cause is unknown or speculative, the answer
is false — even if reproducibility is high.
Gate 4: Unambiguous definition of done
There is exactly one reasonable interpretation of what "fixed" means. A maintainer reading the issue would agree on the expected outcome without discussion. Exclude anything where the correct fix depends on a product judgment call.
Gate 5: Client-side only
The fix touches only the client-side desktop app. Exclude any issue
involving: server or API, authentication, billing, cloud sync, session
sharing, telemetry backend, or the Oz platform backend. When in doubt,
the answer is false.
Gate 6: Localized scope
The fix touches one component or subsystem. Exclude issues requiring cross-cutting changes, modifications to shared core primitives, or anything that would move architectural boundaries.
Gate 7: Not security- or data-sensitive
The issue does not touch auth, permissions, billing, or data integrity. The failure mode if the implementation is wrong is recoverable (behavioral glitch, not data loss or a security hole).
Gate 8: Small estimated effort
The fix path is apparent from the issue description and likely touches a small number of files. A confident engineer could complete it in a few hours without needing to understand a large or unfamiliar subsystem.
Output
Add these two fields to triage_result.json:
{
"factory_auto_implement": true,
"factory_auto_implement_reasoning": "one sentence naming the determining factor"
}
Always populate both fields. When false, factory_auto_implement_reasoning
must name the specific gate that failed. When true, briefly state the
positive case (e.g. "client-side crash with known root cause, clear fix
path, and no follow-up questions needed").
Do not emit the legacy auto_implement / auto_implement_reasoning
fields. Do not request oz-agent assignment or the auto-implement
label from this skill.
Default
When in doubt, the answer is false. A missed candidate is a minor
inefficiency. A false positive queues factory work that should not run,
wasting compute and potentially producing an unwanted draft PR.
Version History
- 90a5989 Current 2026-08-16 09:00


