aio-proof
Skill0 starsChanged 31 days agoMITView on GitHub
Collect reproducible backend acceptance evidence bound to source and candidate artifacts.
In this repository54 other files it gives its agents.
- agent-workflowsSkill
- aio-agentsSkill
- aio-algorithmsSkill
- aio-apiSkill
- aio-architectureSkill
- aio-autoplanSkill
- aio-benchmarkSkill
- aio-brainstormSkill
- aio-canarySkill
- aio-checkpointSkill
- aio-ciSkill
- aio-commitSkill
- aio-compoundSkill
- aio-dataSkill
- aio-debugSkill
- aio-devex-reviewSkill
- aio-doc-reviewSkill
- aio-explainSkill
- aio-feedbackSkill
- aio-handoffSkill
- aio-ideateSkill
- aio-observeSkill
- aio-optimizeSkill
- aio-pipelinesSkill
- aio-plan-reviewSkill
- aio-planSkill
- aio-prototypeSkill
- aio-qa-onlySkill
- aio-qaSkill
- aio-releaseSkill
- aio-resumeSkill
- aio-reviewSkill
- aio-securitySkill
- aio-shipSkill
- aio-simplifySkill
- aio-specSkill
- aio-tddSkill
- aio-test-auditSkill
- aio-testSkill
- aio-verifySkill
- aio-workSkill
- aio-worktreeSkill
- all-in-oneSkill
- apple-appstore-reviewerSkill
- backend-algorithmsSkill
- backend-debugSkill
- backend-pipelinesSkill
- backend-planSkill
- backend-reviewSkill
- backend-verifySkill
- complete-destructionSkill
- launch-readinessSkill
- play-policy-insightsSkill
- reverse-engineer-anythingSkill
The file
Files
AIO Proof
Collect reproducible backend acceptance evidence bound to source and candidate artifacts.
Protocol
- Choose the claim and R/V IDs, exact source/revision/build and observation boundary. Determine which evidence needs local tests, a real provider, live service or console access.
- Execute the relevant checks and save raw commands, environment, timestamps, exit status and assertions without secrets. Distinguish mocks/synthetic fixtures from operational proof.
- Bind artifacts to hashes and verify links/files resolve under the workspace. Inspect remote PR/deploy/service state separately; do not turn arbitrary local files into proof of remote success.
- Package a minimal evidence dossier and run the appropriate completion/launch gates. Any unavailable required observation stays unverified and goes to aio-verify.
Return and handoff
A source-bound reproducible proof dossier with actual observations and precisely limited claims.
In a pipeline, use the stage contract and return to the integrating controller. Run only this specialist's owned scope; preserve the user's accepted decisions and existing authorization.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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