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 horizon-scanninggit 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/horizon-scanning)<a href="https://agentmods.dev/skills/liberty91ltd/cti-skills/horizon-scanning"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/horizon-scanning/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/horizon-scanning"><img src="https://agentmods.dev/badge/skills/liberty91ltd/cti-skills/horizon-scanning.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 | $0.00044 | $0.00823 |
| Opus 5 | $0.00022 | $0.00411 |
| Sonnet 5 | $0.00009 | $0.00165 |
| Haiku 4.5 | $0.00004 | $0.00082 |
Grade A, and why
horizon-scanning 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Horizon Scanning
Horizon scanning identifies emerging threats, opportunities, and developments that could impact the organisation's security posture in the medium to long term (6-24 months).
Process
1. Define Scope
- Time horizon (6 months? 12 months? 24 months?)
- Focus areas (specific sectors, threat types, geographies)
- Stakeholder needs (what decisions will this inform?)
2. Identify Weak Signals
Weak signals are early indicators of emerging trends. Sources:
- Academic research and conference papers (BlackHat, DEF CON, CCC, academic journals)
- Underground forum discussions (new tools, techniques being discussed)
- Patent filings and startup activity (indicators of new capabilities)
- Geopolitical developments (sanctions, conflicts, elections)
- Regulatory changes (new compliance requirements creating new attack surfaces)
- Technology adoption trends (new tech = new attack surface)
3. Categorise Signals
| Category | Examples |
|---|---|
| Emerging TTPs | New exploitation techniques, novel social engineering methods, AI-augmented attacks |
| Technology shifts | New platforms widely adopted, legacy tech being deprecated, cloud migration patterns |
| Threat actor evolution | New groups emerging, existing groups changing targets, capability development |
| Geopolitical drivers | Conflicts, sanctions, elections, diplomatic shifts |
| Regulatory/legal | New laws, enforcement actions, liability changes |
| Underground economy | New services, market shifts, ecosystem changes |
4. Develop Scenarios
For each significant signal, develop three scenarios:
- Best case: Signal does not materialise or is mitigated
- Worst case: Signal materialises with maximum impact
- Most likely: Balanced assessment based on available evidence
5. Assess Impact and Likelihood
For each scenario:
- Likelihood (using probability yardstick from likelihood-language skill)
- Impact on organisation (Critical/High/Moderate/Low/Negligible)
- Time to materialise
- Confidence in assessment
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 · 97 lines · 44 tokens per session scan A d6d4a938d87d
horizon-scanning is a skill published in the GitHub repository Liberty91LTD/cti-skills (18 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 823 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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