simulate

simulate is a skill for Claude Code, Codex from eddmpython/dartlab. It costs 0 tokens per session (3,955 once invoked), scanned A, original, Apache-2.0.

A scenario-analysis tool that connects company data and economic assumptions to possible paths for revenue, profit margins, cash flow, and valuation. Its results depend on the chosen assumptions and are not certain forecasts.

In plain words
What is it for?
Use it for baseline and adverse scenarios, stress tests, interest-rate shocks, and what-if comparisons over a chosen time horizon.
Why use it?
It makes the effect of different assumptions visible and keeps the inputs and reasoning behind each result available for review.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for baseline and adverse scenarios, stress tests, interest-rate shocks, and what-if comparisons over a chosen time horizon.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/eddmpython/dartlab/simulate
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.

Any agent
npx skills add eddmpython/dartlab --skill simulate
Clone the repo
git clone --depth 1 https://github.com/eddmpython/dartlab

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 simulate

README.md
[![agentmods](https://agentmods.dev/badge/skills/eddmpython/dartlab/simulate/github.svg)](https://agentmods.dev/skills/eddmpython/dartlab/simulate)
Your own site
<a href="https://agentmods.dev/skills/eddmpython/dartlab/simulate"><img src="https://agentmods.dev/badge/skills/eddmpython/dartlab/simulate/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.

agentmods 80×15 button for simulate

Your own site · 80×15
<a href="https://agentmods.dev/skills/eddmpython/dartlab/simulate"><img src="https://agentmods.dev/badge/skills/eddmpython/dartlab/simulate.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,955 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00000 $0.03955
Opus 5.5 $0.00000 $0.01582
Sonnet 5.5 $0.00000 $0.00791
Haiku 4.5 $0.00000 $0.00396

Measured 15d ago against content hash 3b90e4f6c949, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

simulate 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 15d 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.

src/dartlab/skills/specs/engines/simulate/SKILL.md · 282 lines

How it starts

The opening of the file, as written. The whole thing — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.

엔진 역할

simulate는 회사 원자료와 매크로 시나리오를 결정론 드라이버 시트로 연결하는 L3 엔진이다. 난수를 쓰지 않으며 같은 target, scenario, asOf는 같은 노드별 inputsHash를 만든다. 결과는 미래 확정치가 아니라 입력 가정에 조건부인 변환 결과다.

드라이버 시트는 매크로 변수와 전달 채널마다 노드 하나를 둔다. 노드 감사에서 어느 입력이 어느 숫자를 움직였는지 그대로 읽힌다.

노드 의존 역할
macro.path, macro.rate, macro.fx 없음 프리셋 GDP, 기준금리, 원달러 경로
rev.path GDP, 환율 매출 채널
margin.path GDP, 금리 영업이익률 채널 (금리는 금융업 NIM만)
wacc.path 금리 할인율 채널 (금리 변화의 절반)
proforma 매출, 마진 성장 경로와 영업이익률 충격으로 3표 추정
dcf proforma, WACC 연도별 시나리오 WACC로 FCFF 할인

금리 충격은 WACC 경로를 통해 주당 DCF를 움직인다. 마진 경로는 proforma 영업이익에 충격으로 반영되어 FCF를 움직인다.

사용자 가정: 시나리오 경로와 드라이버 override

프리셋 다섯 개 밖의 가정은 사용자가 직접 넣는다. scenario, strategies 두 축 모두 경로와 드라이버 변경을 받으며, 각 축에서 실제 계산에 쓰는 값만 허용한다.

  • 사용자 시나리오: scenario에 dict를 넘긴다. 키는 name, base, gdp, rate, fx다. base 프리셋(기본 baseline)의 경로 중 준 변수만 바꾼다. GDP 성장률과 기준금리는 %, 환율은 원달러 수준이다. 세 경로를 모두 주면 프리셋 길이 3년을 넘어 10년까지 펼칠 수 있다.
  • 드라이버 override: overrides에 dict를 넘긴다. baseWacc, terminalGrowth, baseMargin은 %, revenueToGdp, revenueToFx, marginToGdp, nimToRate는 업종 탄성 단위다. 정한 값이 대신한 기본값 가정은 assumptions에서 빠진다.
  • 검증: 모르는 키, 숫자가 아닌 값, 범위 밖 값(금리 030%, GDP -3030%, 환율 100~10,000 등), horizon보다 짧은 경로, 프리셋과 같은 name은 실행 전에 AssumptionInputError로 실패한다. 조용히 자르거나 보정하지 않는다.
  • 추적: 결과의 scenarioKind는 user, scenarioBase는 바꾸지 않은 경로의 출처 프리셋이다. macroPaths는 실제로 쓴 세 경로다. 바꾼 root node는 provenance user:{name}, ref user:scenario/{name}#{variable}을 남기고, assumptionLedger에 source="user" 행이 appliedToDriverSheet=True로 남는다. 바꾸지 않은 root는 같은 프리셋 node와 inputsHash가 같다.
shock = dartlab.simulate("005930", scenario={"name": "rateShock", "rate": [5.0, 5.5, 5.5]})
shock.scenarioKind, shock.macroPaths["rate"], shock.waccPath, shock.dcfPerShare

slow = dartlab.simulate(
    "005930",
    scenario={"name": "slowDecade", "gdp": [1.0] * 5, "rate": [3.0] * 5, "fx": [1450.0] * 5},
    horizon=5,
    overrides={"baseWacc": 12.0, "terminalGrowth": 2.0},
)

Read the full file on GitHub · 282 lines

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. 15d ago Changed · +64 lines 3b90e4f6c949
  2. 16d ago Changed · +34 lines b37189db2b62
  3. 1mo ago First seen · 184 lines · 0 tokens per session scan A 9b1c7b8fd100

Subscribe to this mod's changes

simulate is a skill published in the GitHub repository eddmpython/dartlab (225 stars, last pushed 3d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 3,955 tokens. 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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