Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/fabiolalli/aits-agentsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/fabiolalli/aits-agents/board)<a href="https://agentmods.dev/commands/fabiolalli/aits-agents/board"><img src="https://agentmods.dev/badge/commands/fabiolalli/aits-agents/board/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/fabiolalli/aits-agents/board"><img src="https://agentmods.dev/badge/commands/fabiolalli/aits-agents/board.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.01120 |
| Opus 5.5 | $0.00030 | $0.00448 |
| Sonnet 5.5 | $0.00015 | $0.00224 |
| Haiku 4.5 | $0.00007 | $0.00112 |
Grade A, and why
board scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/aits:board — AITS Decision Dashboard
This command either displays the current state of an in-flight analysis or generates a visual HTML dashboard for a completed analysis.
Two modes
In-flight mode
If an analysis is currently running:
/aits:board
Displays:
- Agents completed (with status indicators)
- Agents pending
- Key findings so far
- Open HITL gates (if any)
- Current confidence level
- Current option space (if Creative has run)
- Current top risks (if Critical has run)
- Your available actions (continue, intervene, switch mode, abort)
HTML dashboard mode
For any completed analysis (including past decisions in .aits/memory/):
/aits:board for [decision-id or title]
Generates a self-contained HTML file at .aits/dashboard/[title-slug].html with:
- Header — decision title, date, confidence level, HITL mode used
- Agent flow graph — visual sequence with links showing handoffs
- Key findings by agent — expandable cards per agent
- Risk heatmap — risk map from Critical visualized as a 5×5 probability × impact grid
- Robustness matrix — if Foresight ran, the full options-scenarios matrix as a color-coded table
- Confidence meter — overall confidence with breakdown by agent
- Conflict timeline — conflicts detected, severity level, arbiter, resolution with matrix citations
- Ethical assessment — Purple's 7-dimension assessment as a radar chart
- Action plan — timestamped actions with owners and dependencies
- HITL log — every checkpoint, gate, and human intervention
Usage examples
/aits:board
→ Shows current state of in-flight analysis
/aits:board for 2026-04-17_product-x-launch
→ Generates HTML dashboard for that past decision
/aits:board for last
→ Generates HTML dashboard for the most recent completed analysis
/aits:board for pattern product-launch-cold-start
→ Generates an aggregated dashboard showing all past decisions matching this pattern with their retrospective outcomes
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 3d ago First seen · 134 lines · 74 tokens per session scan A 198561858764
board is a command published in the GitHub repository fabiolalli/aits-agents (10 stars, last pushed 3d ago), licensed MIT. It adds 74 tokens to every session and 1,120 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-11-07.
board compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| boardfabiolalli/aits-agents | Command | 10 | 3d ago | MIT | A | 74 | Claude Code |
| reviewfabioc-aloha/Alex_Skill_Mall | Command | 5 | yesterday | MIT | A | 2 | Claude Code |
| prune-sourcefabioc-aloha/Alex_Skill_Mall | Command | 5 | yesterday | MIT | A | 27 | GitHub Copilot |
| add-sourcefabioc-aloha/Alex_Skill_Mall | Command | 5 | yesterday | MIT | A | 25 | GitHub Copilot |
| setup-ai-operationsfabioc-aloha/Alex_Skill_Mall | Command | 5 | yesterday | MIT | A | 27 | Claude Code |
| choose-modelfabioc-aloha/Alex_Skill_Mall | Command | 5 | yesterday | MIT | A | 31 | Claude Code |
| execute-model-taskfabioc-aloha/Alex_Skill_Mall | Command | 5 | yesterday | MIT | A | 35 | Claude Code |