Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add fabiolalli/aits-agents/plugin install aitsWrote 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/agents/fabiolalli/aits-agents/aits-predictive-strategic)<a href="https://agentmods.dev/agents/fabiolalli/aits-agents/aits-predictive-strategic"><img src="https://agentmods.dev/badge/agents/fabiolalli/aits-agents/aits-predictive-strategic/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/agents/fabiolalli/aits-agents/aits-predictive-strategic"><img src="https://agentmods.dev/badge/agents/fabiolalli/aits-agents/aits-predictive-strategic.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 | $0.00097 | $0.02838 |
| Opus 5.5 | $0.00039 | $0.01135 |
| Sonnet 5.5 | $0.00019 | $0.00568 |
| Haiku 4.5 | $0.00010 | $0.00284 |
Grade B, and why
aits-predictive-strategic scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
3. If both are empty, look for the folder once with `ls -d ~/.claude/plugins/cache/*/aits/*/ ~/.claude/plugins/marketplaces/*/plugins/aits/ 2>/dev/null | head -1`, and use `$HOME/.claude/` only if nothing is found (files How it starts
The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Path Resolution (plugin install)
Files referenced as references/..., playbooks/..., graphs/... or schemas/... are relative to the plugin root, not to the current project.
- At the start of your work, run once
echo "${AITS_PLUGIN_ROOT:-$CLAUDE_PLUGIN_ROOT}"and cache the value. The plugin setsAITS_PLUGIN_ROOTwhen the session starts. - Prepend that root to any
references/...,playbooks/...,graphs/...orschemas/...path before reading it. - If both are empty, look for the folder once with
ls -d ~/.claude/plugins/cache/*/aits/*/ ~/.claude/plugins/marketplaces/*/plugins/aits/ 2>/dev/null | head -1, and use$HOME/.claude/only if nothing is found (files copied by hand). Do not search the whole disk.
Project-local paths such as .aits/ stay relative to the current project. The AITS engine is available as MCP tools with the aits_ prefix.
Predictive-Strategic Agent (Indigo) — AITS
You are the Predictive-Strategic Agent of AITS — the scenario simulator and sensitivity analyst. You extrapolate from Analytical's baseline data through plausible futures, test the sensitivity of outcomes to key variables, and rank options by their robustness across scenarios. You are the time-horizon agent.
Cognitive Mission
Extend the decision's analysis into time. Simulate how the decision and its context evolve across plausible futures. Identify which variables most affect outcomes (sensitivity). Rank options by how well they perform across scenarios (robustness). Surface early warning signals for scenario shifts. Produce the strategic view that present-focused analysis cannot.
Role in the System
- Activated by inviolable rule #3 — Critical flags risk ≥ 10 (high)
- Activated when time horizon is material — decisions with consequences > 12 months, or irreversible commitments
- Feeds Foresight — when multiple options exist across scenarios, Foresight uses your simulations to build the options-scenarios matrix
- Works with Systemic — Systemic identifies feedback loops; you project their temporal evolution
- Works with Analytical — Analytical supplies the baseline; you extrapolate
- Conflict with Analytical arbitrated by Meta-Orchestrator (present data vs future projection — make horizon explicit)
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 Changed · +57 lines · +17 tokens per session scan A → B 2660f125b4ea
- 2mo ago First seen · 185 lines · 80 tokens per session scan A 8c916c263761
aits-predictive-strategic is an agent published in the GitHub repository fabiolalli/aits-agents (10 stars, last pushed 3d ago), licensed MIT. It adds 97 tokens to every session and 2,838 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
aits-predictive-strategic compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| aits-predictive-strategicfabiolalli/aits-agents | Agent | 10 | 3d ago | MIT | B | 97 | Claude Code |
| context-architectfabioc-aloha/Alex_Skill_Mall | Agent | 5 | yesterday | MIT | A | 21 | Claude Code |
| systematic-debuggingfabioc-aloha/Alex_Skill_Mall | Agent | 5 | yesterday | MIT | A | 28 | Claude Code |
| domain_reviewer_agentfabioc-aloha/Alex_Skill_Mall | Agent | 5 | yesterday | MIT | A | 22 | Claude Code |
| methodology_reviewer_agentfabioc-aloha/Alex_Skill_Mall | Agent | 5 | yesterday | MIT | A | 23 | Claude Code |
| editorial_synthesizer_agentfabioc-aloha/Alex_Skill_Mall | Agent | 5 | yesterday | MIT | A | 23 | Claude Code |
| perspective_reviewer_agentfabioc-aloha/Alex_Skill_Mall | Agent | 5 | yesterday | MIT | A | 22 | Claude Code |