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 alivirgo/Major-AI-Skills --skill ask-ai-confidence-ratinggit clone --depth 1 https://github.com/alivirgo/Major-AI-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/alivirgo/major-ai-skills/ask-ai-confidence-rating)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/ask-ai-confidence-rating"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/ask-ai-confidence-rating/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/alivirgo/major-ai-skills/ask-ai-confidence-rating"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/ask-ai-confidence-rating.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 | $0.00020 | $0.01342 |
| Opus 5 | $0.00010 | $0.00671 |
| Sonnet 5 | $0.00004 | $0.00268 |
| Haiku 4.5 | $0.00002 | $0.00134 |
Grade A, and why
ask-ai-confidence-rating 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 today.
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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ask AI for Confidence & Uncertainty Ratings (AI Skill)
Overview
Standard LLMs produce responses with an unwavering, authoritative tone regardless of whether they are stating a verified mathematical axiom or guessing an obscure regulatory nuance.
This skill provides an Epistemic Calibration Framework that instructs AI models to evaluate their own certainty, explicitly flag assumptions, and provide numeric confidence ratings for each component of an analysis.
The Confidence Calibration Matrix
┌─────────────────────────────────────────────────────────────┐
│ Certainty Breakdown Scale │
│ │
│ [90-100%] HIGH CERTAINTY ──► Established facts, syntax, │
│ mathematical derivations │
│ [60-89%] MODERATE ──► Best practices, industry │
│ heuristics, common patterns │
│ [0-59%] LOW / SPECULATIVE► Rapidly changing data, niche │
│ laws, subjective predictions │
└─────────────────────────────────────────────────────────────┘
The Calibrated System Prompt Template
Use this prompt modifier for research, technical architecture, legal/tax guidelines, and high-stakes problem solving:
Answer the following query: [INSERT QUESTION]
Formatting Requirements:
1. Provide the direct, actionable answer first.
2. Underneath your answer, include a "Certainty & Risk Breakdown" with:
- **Confidence Score (1-100%)**: State your overall confidence in the factual accuracy of this response.
- **High-Certainty Elements**: List the specific points you are 100% sure about.
- **Uncertainty & Assumptions**: Explicitly list any assumptions, ambiguities in my prompt, or edge cases where this answer might fail.
- **Verification Step**: Provide the single most effective action I can take to verify this independently (e.g., official docs page, CLI test, calculation).
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.
- today Changed · -8 tokens per session b50dd883e544
- 12d ago First seen · 111 lines · 28 tokens per session scan A 7bc104ca963e
ask-ai-confidence-rating is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 20 tokens to every session and 1,342 once invoked, about $0.0001 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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