AI DevKit · Enforce evidence-based completion claims — require fresh command output before reporting success. Use when completing any task, fixing a bug, finishing a phase, running tests, building, deploying, or making any "it works" claim.
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See how to installReview the instructions the agent will receive before you install.
Prove it works before saying it works.
Every completion claim must pass all 5 steps in order:
If any step fails, stop. Fix the issue and restart from step 1.
If no verification command exists (e.g., no test suite), tell the user and ask them how to verify before claiming done.
| Claim | Required Evidence | Not Sufficient |
|---|---|---|
| Tests pass | Test output: 0 failures, exit 0 | Previous run, "should pass now" |
| Build succeeds | Build output: exit 0 | Linter passing, partial build |
| Bug is fixed | Reproduce symptom → now passes | "Changed code, should be fixed" |
| Linter clean | Linter output: 0 errors | Single file check |
| Phase complete | Each criterion verified individually | "Tests pass, so done" |
| Feature works | E2E test or manual walkthrough | Unit tests alone |
For bug fixes, a single pass is not enough:
If step 4 passes, the test is wrong. Rewrite it.
| Rationalization | Why It's Wrong | Do Instead |
|---|---|---|
| "This change is trivial" | Trivial changes break things constantly | Run the check |
| "I ran it earlier" | Code changed since then | Run it again now |
| "The test is flaky" | Flaky ≠ ignorable | Fix the flake first |
| "It compiles, so it works" | Compilation ≠ correctness | Run the tests |
| "The CI will catch it" | CI is a safety net, not a substitute | Verify locally first |
| "The agent said it's done" | Agent claims need verification too | Check diff and run tests |
After a failed verification, store the failure pattern: npx ai-devkit@latest memory store --title "<failure pattern>" --content "<what failed and how to avoid>" --tags "verify,failure-pattern"
If a task name is known and tracing is usable, record task evidence after
the verification report per task. If tracing was not probed, run the real read
probe first. If probe or evidence recording fails, report the failed task command
and continue verification; never block verification on optional task logging.
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AI DevKit · Exchange information with active Codex, Claude Code, and other AI agents using ai-devkit agent list, detail, and send. Use when an agent needs to find another active agent, read its recent context, send it information, or request information back.
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AI DevKit · Manage running AI agents with ai-devkit agent commands. Use when an agent needs to identify itself, list agents, start workers, inspect agent detail, assign work, group agents, resume sessions, stop agents, or delegate work to other agents.
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AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve conflicts, and verify completion. Use only for ongoing multi-agent coordination, not one-off list/detail/send/start/kill actions.
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AI DevKit · Check local AI DevKit readiness and run setup only when status shows onboarding or harness integration gaps.
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AI DevKit · Use when the user asks to brainstorm, ideate, generate ideas, expand options, challenge ideas, pressure-test ideas, compare concepts, narrow choices, name something, plan content angles, explore strategy, evaluate product ideas, technical approaches, experiments, or decisions.
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AI DevKit · Update CHANGELOG.md Unreleased items from git commits since the latest release. Use when users ask to update changelog/release notes from recent commits, with one concise line per commit and commit/PR links.
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