tcx-forecast

tcx-forecast is a skill for Claude Code, Codex from monarchjuno/tradingcodex. It costs 29 tokens per session (438 once invoked), scanned A, original, Apache-2.0.

A forecasting procedure for recording predictions with a clear target, time limit, evidence, and review date. It treats a forecast as a judgment to check later, not as an automatic trading signal.

In plain words
What is it for?
Use it when estimating an outcome, considering a valuation implication, or supporting a decision with probabilities. It defines the forecast fields and update or invalidation rules.
Why use it?
It prevents vague predictions that cannot be tested or updated. It also makes missing evidence, opposing evidence, and the conditions that would change the view explicit.

Skill for Claude CodeCodex

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/monarchjuno/tradingcodex/tcx-forecast
Any agent
npx skills add monarchjuno/tradingcodex --skill tcx-forecast
Clone the repo
git clone --depth 1 https://github.com/monarchjuno/tradingcodex

Made for: Claude Code, Codex.

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 tcx-forecast

README.md
[![agentmods](https://agentmods.dev/badge/skills/monarchjuno/tradingcodex/tcx-forecast.svg)](https://agentmods.dev/skills/monarchjuno/tradingcodex/tcx-forecast)
Your own site
<a href="https://agentmods.dev/skills/monarchjuno/tradingcodex/tcx-forecast"><img src="https://agentmods.dev/badge/skills/monarchjuno/tradingcodex/tcx-forecast.svg" alt="Measured on agentmods" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 438 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 $0.00029 $0.00438
Opus 5 $0.00015 $0.00219
Sonnet 5 $0.00006 $0.00088
Haiku 4.5 $0.00003 $0.00044

Measured 4d ago against content hash e58f6fa9426c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

tcx-forecast 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.

workspace_templates/modules/repo-skills/files/.tradingcodex/subagents/skills/shared/tcx-forecast/SKILL.md · 52 lines

What it actually says

Forecasting Discipline

Use this procedure when a workflow asks for prediction, scenario probability, valuation implication, or decision support.

Forecast fields are an agentic judgment contract, not a trading model, feature store, autonomous signal, or execution trigger. Use them to make role judgment reviewable, horizon-bound, falsifiable, updateable, and suitable for postmortem.

Required output shape:

  • forecast_required
  • forecast_allowed
  • forecast_block_reason when probability should not be produced
  • forecast_target
  • forecast_horizon
  • probability or probability_range when allowed
  • base_rate or missing-base-rate note
  • evidence_ids
  • contrary_evidence
  • resolution_source
  • review_date
  • update_triggers
  • invalidation_conditions

Quality floor:

  • Bound each forecast to a resolvable target and horizon.
  • Separate factual data, model output, assumption, and judgment.
  • For a scoreable binary forecast, provide a point probability; an optional range may express uncertainty around it. Range-only records are exploratory diagnostics and do not count toward proper-score calibration.
  • Treat forecast probability as role judgment that needs evidence, contrary evidence, review date, and invalidation conditions.
  • If probability and probability_range both appear, keep the point value inside the range.
  • If evidence is too weak to defend a scoreable point probability, use forecast_allowed: false rather than presenting a range-only record as a calibrated forecast. Use not-decision-ready, revise, or blocked with a clear block reason.
  • When forecast scope is negated, provide qualitative scenarios only; do not create probability fields or forecast ledger records.

Write scoreable records under trading/forecasts/ only after accepted evidence supports the forecast.

Files

What ships with it

1 file 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. 4d ago First seen · 52 lines · 29 tokens per session scan A e58f6fa9426c

Subscribe to this mod's changes

tcx-forecast is a skill published in the GitHub repository monarchjuno/tradingcodex (366 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 29 tokens to every session and 438 once invoked, about $0.0001 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.

Related

Other skills, from other repositories

consulting-analysis

Use this skill when the user requests to generate, create, or write professional research reports including but not limited to market analysis, consumer insights, brand analysis, financial analysis, industry research, competitive intelligence, investment due diligence, or any consulting-grade analytical report. This…

bytedance/deer-flow · 110 tokens

agent-agentic-payments

Agent skill for agentic-payments - invoke with $agent-agentic-payments.

ruvnet/ruflo · 22 tokens

agent-payments

Agent skill for payments - invoke with $agent-payments.

ruvnet/ruflo · 15 tokens

company-research

A 股个股研究六阶段 SOP(profile → financials → estimates → valuation → risk → report),Phase 0 范围 = 财务估值闭环。当任务是研究 / 分析 / 评估一只或多只已指定代码的 A 股个股时使用;规定每阶段取哪些数据、调哪些 calc 函数、必须落盘什么产物、过什么 Gate。不用于:从市场中筛选标的、泛行业讨论、概念解释、给投资动作建议。.

simonlin1212/Vibe-Research · 115 tokens

moai-foundation-core

Provides MoAI-ADK foundational principles including TRUST 5 quality framework, SPEC-First DDD methodology, delegation patterns, progressive disclosure, agent catalog reference, and token budget management (absorbed from moai-foundation-context). Use when referencing TRUST 5 gates, SPEC workflow, or context window…

modu-ai/moai-adk · 68 tokens

moai-domain-html-report

Markdown-to-single-file-HTML report renderer. Six modes (status, incident, plan, explainer, financial, pr) selected by report type, crossed with three audience tiers (expert, basic, learn) derived from the active output style. The basic and learn tiers enrich the HTML with mermaid flowcharts, worked examples, and…

modu-ai/moai-adk · 128 tokens