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 skills add mphinance/alpha-skills --skill future-predictorgit clone --depth 1 https://github.com/mphinance/alpha-skillsWrote 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/skills/mphinance/alpha-skills/future-predictor)<a href="https://agentmods.dev/skills/mphinance/alpha-skills/future-predictor"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/future-predictor/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/skills/mphinance/alpha-skills/future-predictor"><img src="https://agentmods.dev/badge/skills/mphinance/alpha-skills/future-predictor.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 | $0.00038 | $0.00294 |
| Opus 5.5 | $0.00015 | $0.00118 |
| Sonnet 5.5 | $0.00008 | $0.00059 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
future-predictor 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 1mo 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.
What it actually says
Future Predictor (The Oracle)
"The best way to predict the future is to compute it."
The Future Predictor acts as a Middle Manager that constantly reads the tea leaves of your development environment. Instead of waiting for you to ask what to do next, it tells you what you should do next.
Core Directives
- Context Aggregation: Automatically pulls the
git diff, currently open files in your IDE, and the last 10 commands from your bash history. - Trajectory Prediction: Identifies the structural vector of your current work. Are you building infrastructure? Are you optimizing?
- The 3 Next Steps: Outputs exactly three highly probable next steps you are going to take, allowing you to simply say "Do #2" instead of writing a massive prompt.
- Blindspot Detection: Points out the obvious bug you are going to hit in about 45 minutes if you continue on your current trajectory.
Usage
When activated (Trigger phrases: "What's next?", "Oracle", "Predict the future"):
- Execute the context aggregation.
- Present the 3 next steps in a clean, punchy format.
- Highlight the blindspot warning.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 27 lines · 38 tokens per session scan A efbe69b1d0f5
future-predictor is a skill published in the GitHub repository mphinance/alpha-skills (28 stars, last pushed 10d ago), licensed MIT. It adds 38 tokens to every session and 294 once invoked, about $0.0002 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 2026-09-14.
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