trend-modeling

trend-modeling is a skill for Claude Code, Codex from zircote-plugins/sigint. It costs 82 tokens per session (1,816 once invoked), scanned A, original, MIT.

A method for analyzing trends when exact numerical data is missing, unreliable, or hard to obtain. It describes each factor as increasing, decreasing, or staying constant, then uses those directions to build possible scenarios.

In plain words
What is it for?
Use it for qualitative trend analysis, scenario generation, forecasting with limited data, and decisions where only directional information is available.
Why use it?
It allows structured reasoning under uncertainty without pretending that precise measurements are available. It makes assumptions and trade-offs easier to compare.

Skill for Claude CodeCodex

Part of the sigint plugin — 16 skills, 9 commands, 6 agents, 1 hook shipped together

Install

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.

agentmods
npx agentmods add skills/zircote-plugins/sigint/trend-modeling
Any agent
npx skills add zircote-plugins/sigint --skill trend-modeling
Clone the repo
git clone --depth 1 https://github.com/zircote-plugins/sigint

Made for: Claude Code, Codex.

Or install sigint, the plugin that ships this one along with the rest of its 16 skills, 9 commands, 6 agents, 1 hook.

Wrote 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.

agentmods badge for trend-modeling

README.md
[![agentmods](https://agentmods.dev/badge/skills/zircote-plugins/sigint/trend-modeling.svg)](https://agentmods.dev/skills/zircote-plugins/sigint/trend-modeling)
Your own site
<a href="https://agentmods.dev/skills/zircote-plugins/sigint/trend-modeling"><img src="https://agentmods.dev/badge/skills/zircote-plugins/sigint/trend-modeling.svg" alt="Measured on agentmods" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,816 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00082 $0.01816
Opus 5 $0.00041 $0.00908
Sonnet 5 $0.00016 $0.00363
Haiku 4.5 $0.00008 $0.00182

Measured 5d ago against content hash 698c21fab0b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

trend-modeling 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 5d 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.

skills/trend-modeling/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trend Modeling with Three-Valued Logic

Overview

Based on research in trend-based optimization for product innovation, this skill applies three-valued logic (increasing/decreasing/constant) to analyze markets when precise numerical data is unavailable. This approach enables meaningful analysis with minimal information.

Required Frameworks

Framework Output Section Required Condition
Variables Table Variables yes
Relationship Matrix Relationship Matrix yes
Scenario Generation Generated Scenarios yes
Transitional Graph Transitional Scenario Graph (Mermaid stateDiagram) yes
Terminal Scenario Analysis Terminal Scenario Analysis yes
Multi-Objective Trade-offs Trade-offs yes

Core Concept

Traditional market analysis requires extensive quantitative data. Three-valued logic provides an alternative when:

  • Data is scarce or unreliable
  • Relationships are qualitative
  • Uncertainty is high
  • Quick directional insights are needed

The Three Values

Load and apply the trend indicator definitions from protocols/TREND-INDICATORS.md. This skill uses the formal notation variant (INC(X, Y), DEC(X, Y)) and the extended notation (AG, DG, AD, DD) for acceleration/deceleration modifiers. See the protocol for full definitions.

CRITICAL: When the user provides correlation data, you MUST:

  1. Explicitly label each correlation as "positive correlation" or "negative correlation"
  2. Use the INC(X, Y) or DEC(X, Y) notation format for each relationship
  3. Show the conversion step clearly before building the relationship matrix

Example:

  • Market size and competition have positive correlationINC(Market Size, Competition)
  • If Market Size = INC, then Competition = INC
  • If Market Size = DEC, then Competition = DEC
  • Price and demand have negative correlationDEC(Price, Demand)
  • If Price = INC, then Demand = DEC
  • If Price = DEC, then Demand = INC

Read the full file on GitHub · 214 lines

Files

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.

Changes

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.

  1. 5d ago First seen · 214 lines · 82 tokens per session scan A 698c21fab0b8

Subscribe to this mod's changes

trend-modeling is a skill published in the GitHub repository zircote-plugins/sigint (20 stars, last pushed 18d ago), licensed MIT. It adds 82 tokens to every session and 1,816 once invoked, about $0.0004 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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