Experimental on aitasks

Stats

Mon, 01 Jan 0001 00:00:00 +0000

Launching

ait stats-tui

The Stats TUI requires the shared Python virtual environment (installed by ait setup) with the textual and pyyaml packages. Interactive chart panes additionally need the optional plotext package — ait setup prompts Install plotext for 'ait stats-tui' chart panes? [y/N] in the Python venv step. Without plotext, the TUI still launches but chart panes render placeholders instead of charts.

Inside tmux you can also reach the TUI via the TUI switcher — press j in any other aitasks TUI and pick Stats.

/aitask-stats

Mon, 01 Jan 0001 00:00:00 +0000

View task completion statistics via a code agent.

Usage:

/aitask-stats

Note: Must be run from the project root directory. See Skills overview for details.

Runs ./.aitask-scripts/aitask_stats.sh and displays the results. Provides the same statistics as ait stats, including:

Summary counts (7-day, 30-day, all-time)
Daily breakdown with optional task IDs
Day-of-week averages
Per-label weekly trends (4 weeks)
Label day-of-week breakdown (30 days)
Task type weekly trends
Label + issue type trends
Code agent weekly trends (last 4 weeks)
LLM model weekly trends (last 4 weeks)
Verified model score rankings per skill (pick, explain, batch-review) – see Verified Scores for how scores are accumulated
- All-providers aggregated view with per-provider breakdowns
- Time-windowed display (all-time, this month)

Supports all command-line options (-d, -v, --csv, -w). For interactive terminal charts (including code agent / LLM model histograms and verified score ranking bar charts per skill), run ait stats-tui or switch into it from any other aitasks TUI via the TUI switcher. For CSV export, provides guidance on opening the file in LibreOffice Calc with pivot tables and charts.

/aitask-add-model

Mon, 01 Jan 0001 00:00:00 +0000

Register a single, already-known code-agent model in the framework’s model registry and optionally promote it to default across codeagent_config.json, the seed/ template, and the hardcoded DEFAULT_AGENT_STRING. Companion to /aitask-refresh-code-models.

Usage:

/aitask-add-model
/aitask-add-model --agent claudecode --name opus4_7_1m --cli-id 'claude-opus-4-7[1m]' --notes "1M context" --promote --promote-ops pick,explore,brainstorm-explorer
/aitask-add-model --dry-run ...

Note: Must be run from the project root directory. See Skills overview for details.

When to Use This Skill

Use /aitask-add-model when you already know the model you want to register — a vendor just announced it, or you’ve decided to promote a specific variant to default. Unlike /aitask-refresh-code-models, this skill skips web research and writes deterministic, per-invocation changes.