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/quick)<a href="https://agentmods.dev/commands/fabiolalli/aits-agents/quick"><img src="https://agentmods.dev/badge/commands/fabiolalli/aits-agents/quick/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/quick"><img src="https://agentmods.dev/badge/commands/fabiolalli/aits-agents/quick.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 | $0.00068 | $0.00853 |
| Opus 5.5 | $0.00027 | $0.00341 |
| Sonnet 5.5 | $0.00014 | $0.00171 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
quick 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Engine: this command starts an AITS run with
aits_start_run(graphquick, modeautonomous) and closes it only throughaits_synthesize.
/aits:quick — Rapid AITS Decision (Autonomous Mode)
This command activates the Meta-Orchestrator in autonomous mode — minimal agent sequence, no voluntary checkpoints, mandatory gates still enforced.
When to use
- Time-sensitive decisions where speed matters more than depth
- Lower-stakes decisions where full multi-agent analysis would be overkill
- Follow-up iterations after a full analysis on related topics
- Routine recurring decisions of the same type
What happens
- Intake — Meta-Orchestrator reads the problem, matches pattern library, recalls memory, picks a playbook if one clearly fits
- Execution — 3-agent sequence runs uninterrupted:
- ⚪ Analytical — facts and data baseline
- ⚫ Critical-Validator — risk map and premortems
- 🟡 Optimizer — value case and action plan
- Auto-escalation — inviolable rules trigger automatic additions:
- Rule #2: data gap → return to Analytical
- Rule #3: risk severity ≥ 10 → activate Ethical or Predictive
- Rule #4: Black/Yellow L3 conflict → activate Ethical
- Rule #6: ethical red line → mandatory HITL gate
- Mandatory gates — when triggered, the flow pauses with a gate checkpoint requiring explicit user input
- Synthesis — Meta-Orchestrator closes the decision with the usual structured output
Gate checkpoint format
═══════════════════════════════════════════════════
⚠️ MANDATORY GATE — [Reason]
═══════════════════════════════════════════════════
▶ TRIGGER [rule citation]
▶ AGENT OUTPUT SUMMARY
▶ IMPLICATIONS
▶ RULE REQUIRES
▶ YOUR OPTIONS
[1] ✅ ACKNOWLEDGE & PROCEED
[2] ✏️ PROVIDE CONTEXT
[3] 🛑 PAUSE (switch to supervised)
[4] ⛔ ABORT
═══════════════════════════════════════════════════
Usage
/aits:quick
[your problem statement]
Upgrade paths
If the autonomous flow is producing low-confidence outputs or frequent mandatory gates, switch modes:
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 · 89 lines · 68 tokens per session scan A d0f044cbec64
quick is a command published in the GitHub repository fabiolalli/aits-agents (10 stars, last pushed 3d ago), licensed MIT. It adds 68 tokens to every session and 853 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.
quick compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| quickfabiolalli/aits-agents | Command | 10 | 3d ago | MIT | A | 68 | 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 |