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## Change Make native coding-agent execution the default AgentOps entry path with zero mandatory skills. Preserve full bundles and add repeatable `ao skills link --skill NAME` selection, validating the entire selection before writes. Align product, installation, architecture and generated command documentation. Extend the existing trial readout to separate endpoint test results, execution state and independently accepted work. Bind supplied judgments to exact content, acceptance and native evidence. Reject empty implementation subjects and require the caller's complete criterion ID set before reporting acceptance. Preserve genuine nonempty and deletion-only subjects, valid failures and missing-proof outcomes. ## Validation - Native onboarding from empty home/consumer directories produces no setup files; selective/full linking and failure boundaries are covered. - Actual RED/GREEN regressions cover empty subjects and the partial-criterion omission found by independent review. - Full Go build, vet and race/shuffle tests; affected Go lint; 88 Python readout/statistics tests passed. - All 73 gates, generated projections, strict documentation build and local aggregate passed (10 passed; one documented optional absence). - All nine PR checks succeeded at `7df0d42b12f35ffc22008cc10a40339afcfbb6a0`. - Fresh author-distinct review passed all six acceptance criteria over all 59 changed paths, with no findings or unchecked scope, after repairing the criterion-coverage finding. ## Evidence limits The real native coding repair demonstrates usability, not comparative skill uplift. The strict live-session machine replay remains NOT_PROVEN where execution/identity observations are unavailable; the source review PASS is retained separately. Existing cohort limits and the historical aggregate-enforcement gap remain unwaived. No new comparative cohort, scheduler, skill-corpus deletion, memory migration or global installation is included.
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First value path
- Give your native coding agent a concrete behavior and acceptance examples.
- Let it inspect the relevant code, implement the change and run the repository's checks. Planning and specialist guidance are available when they help.
- Have a fresh, author-distinct context review the exact change against the unchanged acceptance and evidence.
- Repair concrete findings and review the changed content. Finish when the accepted behavior is proven; report missing evidence honestly.
No AgentOps skill installation or RPI invocation is required. ao quick-start
explains this path and ao demo prints a sample task. ao supplies deterministic
checks and evidence utilities on demand; the coding agent supplies judgment.
Use a native goal for continuity and your existing tracker for work and handoffs.
For a small task this should be one reviewable change and one independent
judgment. Persist verdict.v2 only when a caller or declared consumer needs
machine-readable evidence, using protected external non-Git storage.
Success is fresh independent judgment bound to acceptance and content identities. Pushing or releasing that content follows repository policy.