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 Liberty91LTD/cti-skills --skill confidence-levelsgit clone --depth 1 https://github.com/Liberty91LTD/cti-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/liberty91ltd/cti-skills/confidence-levels)<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/confidence-levels"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/confidence-levels/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/liberty91ltd/cti-skills/confidence-levels"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/confidence-levels.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 | $0.00063 | $0.00874 |
| Opus 5 | $0.00032 | $0.00437 |
| Sonnet 5 | $0.00013 | $0.00175 |
| Haiku 4.5 | $0.00006 | $0.00087 |
Grade A, and why
confidence-levels 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 11d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Confidence Levels
Every analytical judgment produced by this platform MUST carry a confidence level. Confidence reflects the quality and quantity of evidence supporting the judgment, NOT the probability that the event will occur (that's likelihood — see likelihood-language skill).
Primary Scale: Named Bands
| Band | Score Range | Meaning |
|---|---|---|
| Very High | 90-100 | Based on high-quality information from multiple independent sources. Analyst has no significant concerns about the validity of the sources. Well-corroborated assessment. |
| High | 75-89 | Based on high-quality information, or from multiple sources with minor inconsistencies. Key assumptions are well-supported. |
| Moderate | 50-74 | Based on credible information that is not sufficient to warrant higher confidence. Key assumptions are reasonable but not fully validated. Alternative interpretations exist. |
| Low | 25-49 | Based on limited or fragmentary information. Key assumptions have significant uncertainty. Multiple plausible alternative interpretations. |
| Very Low | 0-24 | Based on sparse, unreliable, or largely circumstantial information. Assessment is essentially speculative. |
What Determines Confidence
Confidence is determined by three factors:
1. Quality of Sources
- How reliable are the sources? (Cross-reference with Admiralty Scale)
- Are sources independent or derivative?
- Is there potential for deception or disinformation?
2. Quantity and Corroboration
- How many independent sources support the assessment?
- Do sources confirm each other or contradict?
- Is the evidence diverse (technical + human + open source)?
3. Analytical Logic
- How strong is the analytical reasoning?
- Have key assumptions been tested?
- Have alternative hypotheses been considered and evaluated?
How to Express Confidence
In text
"We assess with high confidence that APT28 is responsible for this campaign, based on infrastructure overlaps with three previously attributed operations and consistent TTP alignment documented by two independent vendors."
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.
- 11d ago First seen · 90 lines · 63 tokens per session scan A ec1eb92f5560
confidence-levels is a skill published in the GitHub repository Liberty91LTD/cti-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 874 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 2026-08-30.
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