omh-ai-slop-cleaner
Solidomh
AI & Automation 212 stars
15 forks Updated today MIT
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Skill Content
# Ai Slop Cleaner
This is a Hermes-native `ai-slop-cleaner` workflow skill.
## Why This Exists
`ai-slop-cleaner` exists to keep `maintenance` work explicit, evidence-backed, and inside the Hermes/executor boundary instead of relying on ad hoc chat narration.
## Do Not Use When
- The request is casual chat, a status-only acknowledgement, or another workflow has stronger routing evidence.
- The user needs implementation, review, CI, merge, or external publishing evidence that has not been delegated or observed.
## Examples
Good example:
- Prompt: $ai-slop-cleaner remove duplicated router branches and lock behavior with regression tests before refactoring.
- Expected behavior: Plan cleanup, preserve behavior, delete or simplify code, and prove it with targeted tests.
- Why: The request is maintenance cleanup with regression risk.
Bad example:
- Prompt: ai-slop-cleaner: treat casual chat or unaccepted work as if this workflow already produced verified results.
- Expected behavior: Ask a clarification question or route to a narrower workflow instead of forcing `ai-slop-cleaner`.
- Why: The request lacks the required inputs or would overclaim work that Hermes did not observe.
## Completion Checklist
- The selected coding or runtime owner is named before any implementation claim.
- Prepared handoff, dispatch, execution, verification, review, CI, and merge states are separated.
- The final status cites observed runtime evidence or keeps the work prepared_not_observed.
- W...
Details
- Author
- rlaope
- Repository
- rlaope/oh-my-hermes
- Created
- 1 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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