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 agentmods add skills/zircote-plugins/sigint/trend-analysisnpx skills add zircote-plugins/sigint --skill trend-analysisgit clone --depth 1 https://github.com/zircote-plugins/sigintWrote 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/zircote-plugins/sigint/trend-analysis)<a href="https://agentmods.dev/skills/zircote-plugins/sigint/trend-analysis"><img src="https://agentmods.dev/badge/skills/zircote-plugins/sigint/trend-analysis.svg" alt="Measured on agentmods" 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 | $0.00063 | $0.01639 |
| Opus 5 | $0.00032 | $0.00820 |
| Sonnet 5 | $0.00013 | $0.00328 |
| Haiku 4.5 | $0.00006 | $0.00164 |
Grade A, and why
trend-analysis 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 4d 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 — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trend Analysis
Overview
Trend analysis identifies patterns of change over time to anticipate future market conditions. This skill covers methodologies for discovering, validating, and projecting trends at macro and micro levels.
Required Frameworks
| Framework | Output Section | Required | Condition |
|---|---|---|---|
| Macro Trends Table | Macro Trends | yes | — |
| Micro Trends Table | Micro Trends | yes | — |
| Emerging Signals | Emerging Signals | yes | — |
| Transitional Scenario Graph | Transitional Scenario Graph | yes | — |
| Terminal Scenarios | Terminal Scenarios | yes | — |
| Monitoring Indicators | Monitoring Indicators | yes | — |
Trend Categories
Macro Trends (3-10+ years)
Large-scale shifts affecting multiple industries. Always classify each macro trend into one of these five categories and label it explicitly:
- Economic: Interest rates, inflation, employment, trade flows, pricing pressure
- Technological: AI, blockchain, quantum computing, automation, platform shifts
- Social: Demographics, values, behaviors, workforce changes, cultural shifts
- Environmental: Climate, sustainability, resources, regulatory carbon targets
- Political: Regulation, trade policy, governance, geopolitical risk
When presenting macro trends, include the category label (e.g., "Technological: AI-driven precision agriculture") so the classification is visible in the output.
Micro Trends (1-3 years)
Industry or segment-specific patterns:
- Feature adoption curves
- Pricing model shifts
- Channel preferences
- Buying behavior changes
- Competitive dynamics
Emerging Signals (< 1 year)
Early indicators of potential trends:
- Startup activity
- Patent filings
- Research papers
- Early adopter behavior
- Influencer attention
For each emerging signal, always state what it may indicate or suggest using language such as "This signal suggests...", "This may indicate...", "The implication is...", or "This points to...". Every signal must be paired with its potential implication.
What ships with it
4 files 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.
- 4d ago First seen · 218 lines · 63 tokens per session scan A 359de6a407a0
trend-analysis is a skill published in the GitHub repository zircote-plugins/sigint (20 stars, last pushed 17d ago), licensed MIT. It adds 63 tokens to every session and 1,639 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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radar-publish-council
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radar-provision-notion
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radar-diff-changes
Diffs this run's competitor dossiers against the previous run to find what materially changed (SERP moves, price changes, new news, sentiment shifts, new or dropped competitors). Produces a ranked change set the briefing and dashboard use. Use after all competitor-scout subagents have written their dossiers and before…