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 maturity-assessmentgit 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/maturity-assessment)<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/maturity-assessment"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/maturity-assessment/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/maturity-assessment"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/maturity-assessment.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 | $0.00048 | $0.01312 |
| Opus 5 | $0.00024 | $0.00656 |
| Sonnet 5 | $0.00010 | $0.00262 |
| Haiku 4.5 | $0.00005 | $0.00131 |
Grade A, and why
maturity-assessment 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 12d 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CTI Programme Maturity Assessment
Maturity Levels
| Level | Name | Description |
|---|---|---|
| 1 | Ad-hoc | No formal CTI function. Reactive, incident-driven. Intelligence is incidental. |
| 2 | Emerging | Basic CTI capability. Some collection, limited analysis. Primarily tactical (IOC feeds). |
| 3 | Defined | Formal CTI function with documented processes. Strategic, operational, and tactical output. PIRs defined. |
| 4 | Managed | Mature CTI programme. Stakeholder-driven, measured effectiveness, feedback loops. Proactive intelligence. |
| 5 | Optimized | Intelligence-driven organisation. CTI informs all security decisions. Continuous improvement, advanced analytics, community contribution. |
Assessment Dimensions
1. Collection
| Level | Indicators |
|---|---|
| 1 | No systematic collection. Ad-hoc Google searches when incidents occur. |
| 2 | 1-2 threat feeds (usually free). No collection plan. |
| 3 | Multiple sources across OSINT, commercial feeds, ISACs. Collection plan exists. Source assessment applied. |
| 4 | Comprehensive collection mapped to PIRs. Source quality tracked. Dark web monitoring. Automated collection pipelines. |
| 5 | Full-spectrum collection. HUMINT relationships (ISACs, vendors, government). Predictive collection based on emerging threat indicators. |
2. Analysis
| Level | Indicators |
|---|---|
| 1 | No analysis. Raw data forwarded to SOC. |
| 2 | Basic enrichment (VirusTotal lookups). IOC correlation. No structured techniques. |
| 3 | Structured analysis applied. Threat assessments produced. ATT&CK mapping. Confidence levels used. |
| 4 | Full SAT toolkit (ACH, red team, horizon scanning). Knowledge cells maintained. Alternative hypotheses routinely considered. |
| 5 | Advanced analytics. Machine learning augments human analysis. Predictive threat modelling. Community-leading analysis. |
3. Production
| Level | Indicators |
|---|---|
| 1 | No intelligence products. Maybe an IOC spreadsheet. |
| 2 | Ad-hoc alerts and IOC lists. No standard templates. Inconsistent quality. |
| 3 | Standardised products (flash reports, assessments). TLP applied. Likelihood language used. Quality review process. |
| 4 | Full product suite tailored to stakeholder needs. Detection rules (SIGMA/YARA/KQL). STIX bundles for sharing. |
| 5 | Dynamic intelligence products. Real-time dashboards. Automated tactical output. Strategic foresight publications. |
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.
- 12d ago First seen · 126 lines · 48 tokens per session scan A c32e4b302786
maturity-assessment is a skill published in the GitHub repository Liberty91LTD/cti-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 1,312 once invoked, about $0.0002 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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