Claude-side bridge to the ccmaf-console web dashboard (npm): session autostart + heartbeat hooks and the launcher driver.
Plugin console from marketplace ccmaf in drushegh/CCMAF. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.
/console:stopGracefully stop this project's CCMAF Console (the /ccmaf:wrapup teardown seam)
bash -c 'cd "${CLAUDE_PROJECT_DIR:-.}" && { [ -f .claude/.framework-version ] && ! grep -Eq "^[[:space:]]*FRAMEWORK_LINE=v2" .claude/.framework-version || bash "${CLAUDE_PLUGIN_ROOT}/hooks/console-aut
bash -c 'cd "${CLAUDE_PROJECT_DIR:-.}" || exit 0; [ -f .claude/.console-version ] || [ -f .claude/.console-enabled ] || exit 0; { [ -f .claude/.framework-version ] && ! grep -Eq "^[[:space:]]*FRAMEWOR
bash -c 'cd "${CLAUDE_PROJECT_DIR:-.}" || exit 0; [ -f .claude/.console-version ] || [ -f .claude/.console-enabled ] || exit 0; { [ -f .claude/.framework-version ] && ! grep -Eq "^[[:space:]]*FRAMEWOR
CCMAF v2 core: the full framework as a plugin — board/lifecycle machinery, /ccmaf:init scaffolding, fat-plan/thin-build workflow, doctor, per-task budgets, unattended safety profile. Requires ccmaf-kernel; activates only on v2-marked projects.
16 commands · 9 agents · hooks
Multi-model advisory workbench: /advisors:fable /sol /terra /luna /consult /crossbench /mode — staged consultations with fail-closed model attestation.
7 commands
Council of Agents: five adversarial advisor perspectives + anonymised peer review + a chairman verdict with transcript and HTML report.
1 command · 6 agents
CCMAF Tier 0 kernel: dangerous-command guard, tool-call budget, done-criterion + receipt discipline. Zero per-project files.
hooks
Stack-aware dev QoL hooks for any repo: format-on-edit, lint-on-edit, dependency verification, noisy-test-output filtering.
hooks
Media generation via the codex CLI ChatGPT-sub built-ins (zero metered spend): /media:image renders images through gpt-image.
1 command
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