agent-communication
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…
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.
$ npx -y skills add codeaholicguy/ai-devkit --skill verify --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/verifyContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
name: verify description: 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.
Prove it works before saying it works.
Every completion claim must pass all 5 steps in order:
1. **Identify** — What command proves this claim? If multiple commands are needed, run the gate once per command. 2. **Run** — Execute the full command now. No partial runs, no skipping. 3. **Read** — Read complete output. Check exit code. Count pass/fail. 4. **Confirm** — Does the output prove the exact claim? 5. **Report** — State the result, cite command, exit code, and key output.
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:
1. Write a test covering the bug. 2. Run → **must pass** (fix in place). 3. Revert the fix. 4. Run → **must fail** (proves test catches the bug). 5. Restore the fix. 6. Run → **must pass**.
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.
The control plane for AI coding agents. AI DevKit gives Claude Code, Codex CLI, Gemini CLI, opencode, Pi, Cursor, GitHub Copilot, Devin, and other coding agents one local-first operating layer: one config, one console, local memory retrieval, cross-agent
Repo: codeaholicguy/ai-devkit
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…
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…
AI DevKit · Supervise multi-agent workflows over repeated passes: poll progress, unblock waiting agents, coordinate dependencies, relay outputs, resolve…
AI DevKit · Check local AI DevKit readiness and run setup only when status shows onboarding or harness integration gaps.
AI DevKit · Use when the user asks to brainstorm, ideate, generate ideas, expand options, challenge ideas, pressure-test ideas, compare concepts, narrow…
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…