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.
npx agentmods add skills/voxtechnologies/anty-framework/effectuationnpx skills add VoxTechnologies/anty-framework --skill effectuationgit clone --depth 1 https://github.com/VoxTechnologies/anty-frameworkWhat 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 | $0.00051 | $0.01057 |
| Opus 5 | $0.00026 | $0.00528 |
| Sonnet 5 | $0.00010 | $0.00211 |
| Haiku 4.5 | $0.00005 | $0.00106 |
Grade A, and why
effectuation 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 2d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- effectuation — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Effectuation (Exploration Mode)
When to Apply
- Pre-PMF stage with unclear product direction
- Post-pivot with new market entry
- Goals are ambiguous or evolving
- No historical data to estimate probabilities (Knightian uncertainty)
- Every direction looks equally plausible
Core Framework
Three-Condition Test (Auto-Evaluate)
| Condition | Causation (YES) | Effectuation (NO) |
|---|---|---|
| Goal clarity | Founder can state clear, measurable goal | Goal is ambiguous or evolving |
| Environmental legibility | Clear which market signals matter | Every direction looks equally plausible |
| Historical data | Data exists to estimate probabilities | No precedent, Knightian uncertainty |
Mode selection:
- All 3 YES: Causation mode (Strategy Kernel, KPI Tree, Critical Chain)
- Any 1+ NO: Effectuation mode (this framework)
- Mixed: Hybrid mode (Causation structure with Effectuation flexibility)
Effectuation Cycle
In effectuation mode, DISABLE: KPI tree decomposition, buffer management, Critical Chain. Run this repeating expansion cycle instead:
1. Bird-in-Hand Audit "What resources do you have RIGHT NOW?"
- Skills (founder + team)
- Network (who do you know?)
- Capital (how much can you invest?)
- Technology (what have you already built?)
- Domain knowledge (what do you uniquely understand?)
2. Affordable Loss Ceiling (4 Dimensions)
Every experiment is checked against ALL four dimensions:
| Dimension | Question | Threshold |
|---|---|---|
| Financial | "How much capital can you invest and survive if it goes to zero?" | Set dollar amount |
| Time | "How many months can you devote before you need income?" | Set month limit |
| Reputation | "Would failure here damage your ability to raise funds or get hired?" | low/medium/high |
| Psychological | "Can you handle this failing and try again?" | yes/no |
Track CUMULATIVE commitments across all active experiments. Individual experiments may each be small, but together they can exceed limits.
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.
- 2d ago First seen · 106 lines · 51 tokens per session scan A 14bdaaa2ce96
effectuation is a skill published in the GitHub repository VoxTechnologies/anty-framework (6 stars, last pushed 4mo ago), licensed MIT. It adds 51 tokens to every session and 1,057 once invoked, about $0.0003 per session on Opus 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 2026-08-31.
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