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Status matrix

Condensed from docs/STATUS.md in the source tree, which remains the record when the two differ.

Label Meaning
stable declared stable, with held-out or CI evidence for its main claim
stable candidate implemented and tested, but its main claim has not had a fresh, preregistered validation
experimental a fresh validation failed, or there is none; the output says so
opt-in off by default
disabled present in the registry or design, but repo-ai will not run it
not supported / not demonstrated as written; the latter is for benefit claims
Area Status Evidence, in brief
verify, overall (pytest, node --test) qualified, conditional with explicit limitations held-out-7 on 903984a: 0 false assurances in 127 failing states; tree unchanged 234/234. See Evaluation
verify --run isolation and the base comparison stable isolation tests on seatbelt, bwrap and Docker in CI; hostile-test suite. Cancellation passes for the tested windows only
Read-only plan (changed units, linked tests, confidence) stable candidate three frozen held-out sets; held-out-6 found two selection defects on fresh data (a staged rename selected nothing; TypeScript tests under node’s default discovery were not listed)
verify --record runtime evidence stable candidate for pytest and node --test held-out-7, containers only; unittest works but is not qualified
Adaptive run shape, per-test reports, caches, evidence reuse experimental development measurements and held-out-4
Zero-configuration test command experimental 6 of 7 correct on held-out-5
--image (dependencies in a local container) experimental held-out-3 and held-out-4
TypeScript (type stripping) rechecked, not freshly validated one project; no held-out TypeScript quota
Hang watchdog improved for unittest and pytest; node unchanged rechecks on previously used projects; node target missed
Speed experimental; target missed slower than native on short suites
Stop-hook completion gate experimental, opt-in its tests pass; effect on agents not measured
Jest, Vitest, Mocha; monorepos with several runners not supported opaque runners: full suite only, one runner per invocation
Platform Status
macOS seatbelt host sandbox; containers
Linux bubblewrap host sandbox (CI job); containers
Windows no host sandbox: containers required for verify --run; missions not supported; unit tests pass in CI; never measured on fresh data
Area Status Evidence, in brief
context (identity-first shortlist) stable candidate retrieval holdout, 18 repositories: strong on symbol names, weak on prose (recall@5 0.320)
evidence, review, privacy, uninstall stable candidate release-freeze journey: uninstall left the tree byte-identical; no network. review does not yet read verify evidence
Two sessions in one repository stable candidate locking and atomic writes covered by tests and an adversarial review
--smart (learned rules, generated skills) experimental, opt-in no benefit shown
--feature-set full opt-in; no benefit shown no subagent or skill invoked, about 10% higher cost
Area Status
repo-ai do offline plan, why, why-test-failed, agents doctor usable; no model needed
Live execution with IBM Bob, Codex CLI, agy (macOS) works on small tasks; small n; Codex and agy cost UNKNOWN
Claude Code as a mission provider experimental from 0.10.0 (macOS live-verified, n = 1 journeys; own login, file tools only)
Gemini CLI as a mission provider rejected for the tested account
Provider routing (--agent auto, agents route) deterministic; does not check login or quota before a run
apply / undo transactional; existing regular tracked files only
Live tournament (--tournament) / replay comparison (--candidate) experimental; abstains on several distinct passes
shortlist, coverage added in the 0.9.0 cycle; never correctness claims
Handoff and --from-handoff experimental; integrity, not authentication; small constructed demos
--role investigator / adversary experimental, advisory; same provider, so not independent review
Benefit over plain provider use NOT_YET_DEMONSTRATED
Area Status
skills inventory stable candidate; offline, read-only
skills vet (skills) stable candidate; pinned, quarantined, read-only
Plugin inspection experimental; its fresh validation failed, plugins are never reported eligible
Third-party skills (discover, install, trials) experimental; no controlled benefit shown
Capability registry (capabilities list, show) stable candidate
Ruff security adapter stable candidate; needs your approval in a terminal
Capability discovery (recommend, candidates, select) experimental; preregistered evaluation failed
Constraints (--deny) enforced when passed
Semgrep and dependency-audit adapters disabled / not implemented

repo-ai prove is not qualified: experimental, opt-in and excluded from the supported capabilities. Its release qualification found false proofs inside the narrowed scope; three are open and named in every report it writes. No hook or gate calls it.

Does repo-ai make a coding agent succeed more often? Not demonstrated. The studies are summarised on Evaluation & methodology.