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chore: update ai-review findings [ai-review-bot][success]

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AI Review Bot
2026-05-18 05:03:32 +00:00
parent 676bb74235
commit 15be1fea8a
5 changed files with 8 additions and 5 deletions
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.codex/skills/triage-findings/SKILL.md
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@@ -21,7 +21,7 @@ It is also used when some findings are false positives and should be moved into
4. Renumber the sorted list from 1 upward.
5. Rewrite each finding concisely so the final list reads cleanly and consistently.
6. If a finding is a false positive, do not keep it in the final list.
7. Add false positives to the exclusions list using the existing schema in the repo or task context, and preserve the original finding wording as much as possible, including language and semantics.
7. Add false positives to the exclusions list as a top-level JSON array in `.gitea/ai-review/exclusions.json`, and preserve the original finding wording as much as possible, including language and semantics. Do not wrap the array in `exclusions` or `excluded_findings`.
## Resolution Flow
@@ -41,5 +41,6 @@ After the list is merged and ordered, resolve the remaining findings one by one.
- Keep numbering contiguous after filtering and merging.
- Preserve useful details like file path, location, and suggested fix.
- Keep exclusions entries minimal and consistent with the project schema.
- When writing exclusions, always output a top-level JSON array.
- When writing exclusions, prefer the original issue text and language; only paraphrase if needed to fit the schema.
- If the source already provides a severity or title, keep it unless it conflicts with the final ordering.
.codex/skills/triage-findings/agents/openai.yaml
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@@ -1,4 +1,4 @@
interface:
display_name: "Triage Findings"
short_description: "Triage, sort, fix, and exclude review findings"
default_prompt: "Use $triage-findings to merge review findings, sort and renumber them by severity, resolve real issues one by one, and add false positives to exclusions."
default_prompt: "Use $triage-findings to merge review findings, sort and renumber them by severity, resolve real issues one by one, and add false positives to `.gitea/ai-review/exclusions.json` as a top-level JSON array."