本文へ移動
cccskills
無料GitHub で公開

nasa-ceh

Knowledge base from the NASA Cost Estimating Handbook (CEH) v4.0. Use for NASA's 12-step, three-part cost estimating process (Project Definition, Cost Methodology, Cost Estimate); the WBS, CADRe, and ONCE data backbone; estimating methodologies (analogy, parametric/CER, engineering build-up, EVM, Delphi); ground rules and assumptions, data normalization and inflation (BY/CY/RY); the point-estimate-to-S-curve cost-risk chain and Unallocated Future Expense (UFE) reserves; Joint Cost and Schedule Confidence Level (JCL) analysis via probabilistic cost-loaded schedules; decision-support analyses (sensitivity, trade studies, make/lease-vs-buy, affordability, CAIV); and economic analysis (discounting, NPV, OMB Circular A-94). The cost-estimating complement to NASA's SE and risk packs. Does NOT reproduce the handbook's tool-specific procedures, worked examples, or appendix-depth methods (it names the appendices), nor cover full DoD/GAO cost guides, schedule construction, or formal risk management beyond the cost interface.

インストール方法を見る

含まれるファイル(13)

  • SKILL.md15.1 KB
  • chapters/ch01-nasa-ceh-introduction-and-process-overview.md8.5 KB
  • chapters/ch02-nasa-ceh-project-definition-tasks.md11.6 KB
  • chapters/ch03-nasa-ceh-cost-methodology-tasks.md13.6 KB
  • chapters/ch04-nasa-ceh-cost-estimate-tasks.md13.2 KB
  • chapters/ch05-nasa-ceh-jcl-analysis.md14.7 KB
  • chapters/ch06-nasa-ceh-decision-support-analyses.md13.1 KB
  • chapters/ch07-nasa-ceh-economic-analysis.md14.5 KB
  • cheatsheet.md6.6 KB
  • glossary.md8.0 KB
  • LICENSE1.8 KB
  • PACK.yaml1.4 KB
  • patterns.md7.3 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

<!-- argument-hint: [process task/step, WBS, CADRe, methodology (analogy/parametric/CER/build-up), GR&A, normalization, cost-risk/S-curve/UFE, JCL, sensitivity/trade/CAIV/affordability, economic analysis/NPV, chapter number] -->

NASA Cost Estimating Handbook (CEH) v4.0

Source: NASA (US Government work, public domain) | Chapters: 7

When to use

Use this skill to produce or review a NASA cost estimate end to end: scoping and defining what is being estimated, choosing an estimating methodology and tool, normalizing data, turning a deterministic point estimate into a confidence curve with a sized reserve, running a Joint Cost and Schedule Confidence Level analysis, supporting decisions with sensitivity/trade/affordability/CAIV analyses, and comparing alternatives with a discounted economic analysis. This is the cost-and-cost-risk complement to NASA's systems-engineering and risk material (nasa-risk, nasa-se-handbook, nasa-npr-7123) and to the broader government cost canon (gao-cost, gao-schedule).

Prerequisites: none — plain Markdown; no MCP server, API key, or licence tier needed at runtime.

How to Use This Skill

  • Without arguments — load the core frameworks below: the 12-step process, the methodology choices, the cost-risk chain, the JCL, and the decision-support and economic-analysis toolkit.
  • With a topic — ask about a process task (e.g. "GR&A", "normalization"), a methodology ("parametric CER", "engineering build-up"), the cost-risk chain ("S-curve", "UFE"), the JCL ("time-dependent vs. time-independent"), a decision-support method ("CAIV", "trade space"), or economic analysis ("NPV", "discount rate").
  • With a chapter — ch01 (process overview), ch03 (methodology), ch04 (cost-risk), ch05 (JCL), ch06 (decision support), ch07 (economic analysis).

Supporting files: glossary.md, patterns.md, cheatsheet.md.

Cost as a design variable. The handbook's spine is that cost is not a number reported after design — it is information that shapes decisions. Keep cost drivers visible, challenge estimates that drift from history, and always deliver uncertainty alongside the point value.

Core Frameworks & Mental Models

The NASA 12-Step Cost Estimating Process (3 parts)

The process is a twelve-step sequence in three parts. Presented in order for teaching, it is iterative and rarely linear in practice; GR&A is the most frequently revisited task.

PartTasksWhat it produces
1 — Project Definition1 customer request · 2 WBS · 3 technical descriptiona scoped, commonly-understood definition of what is estimated
2 — Cost Methodology4 GR&A · 5 methodology · 6 models/tools · 7 data & normalizationthe approach and framework for the estimate
3 — Cost Estimate8 develop · 9 cost-risk · 10 document · 11 present · 12 updatethe estimate itself — produced, hardened, justified, briefed, maintained

Governing policy an estimator must know: NPD 1000.5 and NPR 7120.5E (acquisition / life-cycle management), NPR 7123.1B (review entrance/exit criteria). NASA's process is deliberately consistent with — but tailored from — the GAO Cost Estimating and Assessment Guide (GAO-09-3SP), with a task-level mapping between them.

Project Definition — the data backbone (Part 1)

  • Four critical elements — resources, data, schedule, expectations — jointly agreed between estimator and decision maker before a methodology is chosen.
  • WBS — a product-oriented decomposition giving full coverage without double counting; mandated by NPR 7120.5E, standardized to Level 2, extended below via the CADRe standard WBS. The estimator owns the cost WBS and maps it back to the standard.
  • CADRe (Cost Analysis Data Requirement) — captures programmatic/technical/cost data six times across the life cycle; stored in ONCE (One NASA Cost Engineering database), which also receives end-of-contract actuals to update cost models. This is the empirical grounding for future estimates.
  • Technical baseline — one common definition of the system so the Project Office estimate and an independent-review estimate are comparable.

Estimating Methodologies (Task 5)

Three core methods plus a fourth data source; the choice follows data availability, which shifts across the life cycle:

  • Analogy — adjust a similar fielded system's cost; fast but subjective, still needs normalization.
  • Parametric — apply a Cost Estimating Relationship (CER), a regression-derived Y-vs-X equation whose drivers need both statistical correlation and a sound logical rationale; valid only inside its data range. Built via the seven-step parametric process.
  • Engineering build-up — decompose the WBS into work packages, estimate each (labor and material separately), aggregate; defensible and severable but costly, slow, "what-if"-resistant.
  • EVM extrapolation — a fourth source once a program produces actuals.
  • Delphi — a documented expert-judgment fallback only when empirical data are absent.

GR&A, Models, and Normalization (Tasks 4, 6, 7)

  • Ground Rules and Assumptions (GR&A) — global (whole-estimate: dollars, schedule, inclusions/exclusions, quantities) and element-specific; documented continuously as they evolve, agreed with the P/pM and stakeholders.
  • Models mechanize a methodology but don't replace judgment — no single model fits all purposes; calibrate parametric models to comparable history, validate before use, cross-check with a second method, keep current.
  • Normalization makes raw data comparable: inflation (BY/CY/RY dollars; NASA New Start Inflation Index for new efforts, DCAA forward pricing for contracted work), plus learning curves, production rate, scope, anomalies, and reporting-system mapping. Collect risk data here — uncertainty drives the later cost-risk analysis.

The Cost-Risk Chain (Tasks 8–9)

Point estimate → S-curve (CDF) → UFE reserve.

  • The deterministic LCC point estimate is the start of cost-risk work, not the deliverable — summing most-likely values understates the total.
  • The Task 9 cost-risk assessment produces a credible S-curve / Cumulative Distribution Function across the cost range; the confidence level is read off it.
  • Unallocated Future Expense (UFE) is the reserve sized to reach the management-chosen confidence; phase it where risk realizes (PDR→CDR, Integration & Test).
  • Document to the rebuild standard (Basis of Estimate complete enough for an independent analyst to reproduce the number); keep the estimate a living baseline (Task 12, with EVM against actuals).

Joint Cost and Schedule Confidence Level (JCL)

The probability of finishing at or under both the cost target and the schedule target — jointly, not as two separate confidences. Produced via a Probabilistic Cost-Loaded Schedule (PCLS) in six steps (0 goals · 1 schedule · 2 cost-load · 3 risk · 4 uncertainty · 5 results).

  • Time-Dependent (TD) cost grows when the schedule slips (the "marching army"); Time-Independent (TI) cost (e.g. materials) does not.
  • Risk = discrete probability-and-impact event; uncertainty = indefiniteness of the baseline (triangular distribution; usually dominates variance). Modeled together but kept distinct.
  • The scatterplot's lower-left quadrant fraction is the JCL; frontier lines mark chosen confidence levels; the chart is a snapshot of the current plan only.
  • Policy: ABC = 70% JCL, MA ≥ 50%, reviewed by the Standing Review Board, set at KDP-C (projects) / KDP-I (programs).

Decision-Support and Economic Analysis (Ch 6–7)

  • Five decision-support categories: Sensitivity, Trade Studies, Affordability, CAIV, Economic Analysis (procedures in Appendix N).
  • CAIV / Affordability invert the default flow: cost becomes an input/constraint and design converges on cost while meeting threshold performance.
  • Economic Analysis layers discounting and cost-vs-benefit on the LCCE: seven steps, NPV as the criterion (most-positive wins), OMB Circular A-94 for discount rates, and inflation (NNSI) kept distinct from the time-value-of-money.

Chapter Index

#SectionKey content
ch01Introduction & Process OverviewWhy cost estimating exists; cost as a design variable; the 12-step / 3-part process; governing policy (NPD 1000.5, NPR 7120.5E, NPR 7123.1B); mapping to the GAO guide
ch02Project Definition (Tasks 1–3)Customer request and the four critical elements; the WBS (coverage without double counting, Level 2 standard, CADRe extension); CADRe and ONCE; the technical baseline
ch03Cost Methodology (Tasks 4–7)GR&A; analogy / parametric (CER) / engineering build-up / Delphi; models and tools; data gathering and normalization; inflation (BY/CY/RY) and the NASA New Start Inflation Index
ch04Cost Estimate (Tasks 8–12)The LCC point estimate; probabilistic estimating; the S-curve / CDF; cost-risk assessment and UFE; the Basis of Estimate and the rebuild standard; presentation and updating; EVM
ch05Joint Cost & Schedule Confidence Level (JCL)The PCLS method; the six steps; time-dependent vs. time-independent cost; risk vs. uncertainty; the scatterplot, quadrants and frontier lines; ABC/MA policy thresholds
ch06Decision-Support AnalysesSensitivity analysis (five steps); cost-performance trade studies and the trade space; make-vs-buy and lease-vs-buy; affordability; Cost As an Independent Variable (CAIV)
ch07Economic AnalysisDiscounting and the time-value-of-money; NPV and measures of merit; the seven-step EA process; OMB Circular A-94; nominal vs. real rates; cost-effectiveness when benefits won't quantify

Topic Index

  • Affordability analysis → ch06
  • Analogy method → ch03
  • Basis of Estimate (BOE) / rebuild standard → ch04
  • CADRe (Cost Analysis Data Requirement) → ch02, ch04
  • CAIV (Cost As an Independent Variable) → ch06
  • Cost as a design variable → ch01
  • Cost Estimating Relationship (CER) → ch03, ch04
  • Cost-risk assessment → ch04
  • Cross check → ch04
  • Cumulative Distribution Function (CDF) / S-curve → ch04
  • Decision support (five categories) → ch06
  • Delphi method → ch03
  • Discounting / discount rate → ch07
  • Earned Value Management (EVM) → ch04, ch03
  • Economic Analysis (EA) → ch07
  • Engineering build-up method → ch03
  • Four critical elements → ch02
  • Frontier line (JCL) → ch05
  • Ground Rules and Assumptions (GR&A) → ch03, ch04
  • Inflation / dollar types (BY / CY / RY) → ch03
  • Joint Cost and Schedule Confidence Level (JCL) → ch05
  • Lease-versus-buy analysis → ch06
  • Life-Cycle Cost (LCC) point estimate → ch04
  • Make-versus-buy analysis → ch06
  • Methodology selection (data availability) → ch03
  • NASA New Start Inflation Index (NNSI) → ch03, ch07
  • Net Present Value (NPV) → ch07
  • Nominal versus real rate → ch07
  • Normalization → ch03
  • OMB Circular A-94 → ch07, ch06
  • ONCE database → ch02
  • Parametric method → ch03
  • Point estimate → ch04, ch06
  • Probabilistic cost estimate → ch04
  • Probabilistic Cost-Loaded Schedule (PCLS) → ch05
  • Process overview (12 steps, 3 parts) → ch01
  • Project Definition tasks → ch02
  • Risk versus uncertainty → ch05
  • Sensitivity analysis → ch06, ch04
  • Technical baseline / description → ch02
  • Time-Dependent vs. Time-Independent cost → ch05
  • Trade study / trade space → ch06
  • Unallocated Future Expense (UFE) → ch04, ch05
  • Work Breakdown Structure (WBS) → ch02

Supporting Files

  • glossary.md — key cost-estimating terms, alphabetical, with chapter references
  • patterns.md — reusable patterns (define-before-price, method by data availability, normalize-then-compare, point-estimate-to-S-curve, rebuild-standard documentation, the JCL/PCLS, affordability/CAIV, the seven-step EA) with When/How/Trade-offs
  • cheatsheet.md — the 12-step process table, methodology selection table, dollar types, the cost-risk chain, the JCL, decision-support analyses, economic analysis formulas, tells & smells

Scope & Limits

Covers: NASA's cost estimating process per the NASA Cost Estimating Handbook v4.0 — the 12-step, three-part process; Project Definition (customer request, WBS, CADRe/ONCE, technical baseline); methodology selection (analogy, parametric/CER, engineering build-up, EVM, Delphi); GR&A, model/tool selection, and data normalization/inflation; the deterministic-to-probabilistic cost-risk chain (point estimate, S-curve/CDF, UFE) and documentation/presentation/updating; JCL analysis via probabilistic cost-loaded schedules; the five decision-support analyses (sensitivity, trade studies, make/lease-vs-buy, affordability, CAIV); and economic analysis (discounting, NPV, OMB Circular A-94).

Does not cover in depth: the handbook's appendix-depth procedures, worked examples, and tool-specific instructions (named here as Appendices C, F, G, H, I, J, K, N and pointers to ACEIT/PCEC/NAFCOM/SEER/PRICE — not reproduced); detailed regression/statistical method for building CERs; schedule construction (see nasa-schedule / gao-schedule and the NASA Schedule Management Handbook); formal risk identification and handling beyond the cost interface (see nasa-risk); and the full GAO and DoD cost guides (see gao-cost; complemented by dau-se-guidebook).

Source version: NASA Cost Estimating Handbook (CEH) Version 4.0, February 2015. Public-domain US Government work; guidance is NASA-specific and not a substitute for the current controlled handbook in a live estimating engagement.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Signpost (not a knowledge pack) for the automotive standards landscape: ISO 26262, ASPICE, SAE J3016, UNECE R155, UNECE R156, and the NHTSA vehicle set. Contains NO source content: designation, edition, owner, status, and an official catalogue URL only. Use when you need to identify or locate an automotive standard. Most are paywalled or carry no redistribution grant and cannot be packaged; the one open path is the nhtsa-vehicle pack.

日本語の概要は準備中です。原文の説明を表示しています。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月9日 更新

cisa-cpg

無料

Knowledge base from CISA Cross-Sector Cybersecurity Performance Goals 2.0. Use for prioritized IT/OT baseline cyber goals aligned to NIST CSF 2.0 (including GOVERN), critical-infrastructure hygiene, MSP/supply-chain expectations, and board-friendly outcome language. Covers CPG 2.0 goals only; does not replace full CSF programs, sector-specific goals (SSGs), or CSET tooling detail.

日本語の概要は準備中です。原文の説明を表示しています。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月9日 更新

Knowledge base from DAFMAN 63-119 (15 April 2021), Mission-Oriented Test Readiness Certification. Use for continuous MOTRC replacing single-point OTRR thinking: framework/applicability, Certification Official vs PM roles, review cycle and exit criteria, certification memo/decertify gates, DT&E/contractor evidence, ITT integration and cyber resiliency, and the 31-template matrix. DAF T&E readiness process only—does not replace DoDI 5000.89, AFI 99-103, or multi-service lead policies.

日本語の概要は準備中です。原文の説明を表示しています。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月9日 更新

Knowledge base from the DoD Systems Engineering Guidebook (OUSD R&E, February 2022). Use for the DoD SE process model — the 16 SE processes (8 technical management + 8 technical) mapped to ISO/IEC/IEEE 15288, the event-driven technical reviews and audits across the Major Capability Acquisition life cycle (ASR, SRR, SFR, PDR, CDR, SVR/FCA, PRR, PCA), the Systems Engineering Plan (SEP), risk/issue/opportunity management, TPMs and leading indicators, system-of-systems and digital engineering, and the 24 design considerations (RAM, system safety, HSI, system security engineering, MOSA, supportability, etc.). Acquisition-program oriented: thin on detailed cost estimating, contracting law, and non-DoD or commercial life cycles.

日本語の概要は準備中です。原文の説明を表示しています。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月9日 更新

Knowledge pack from 'Towards Digital Engineering: The Advent of Digital Systems Engineering' (Huang et al., Old Dominion University, arXiv:2002.11672, 2020). Use when reasoning about digital engineering, the DoD Digital Engineering Strategy and its five goals, the Authoritative Source of Truth, digitalization vs. digitization, digital augmentation, digitalized models, provenance, unique identification, and the four-level (vision/strategy/action/foundation) DSE research framework. Covers the conceptual/vision layer of the field. SCOPE LIMITS: this is a single ~28-page vision paper, not a methods handbook — it is thin on step-by-step procedures, tooling, case studies, and quantitative evaluation, and it predates 2020 so it does not cover later digital-engineering standards or recent AI/LLM advances. Use the sebok pack for established SE canon and MBSE depth.

日本語の概要は準備中です。原文の説明を表示しています。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月9日 更新

Knowledge base from the DoD Digital Engineering Strategy (2018, OUSD/ODASD(SE)). Use for the Department of Defense's five digital engineering goals — (1) formalize the development, integration, and use of models; (2) provide an enduring authoritative source of truth; (3) incorporate technological innovation; (4) establish supporting infrastructure and environments; (5) transform the culture and workforce — plus their focus areas, the document-to-model and design-build-test→model-analyze-build shifts, model formalisms/provenance, governance and access control of the authoritative source of truth, and the coordinate→plan→pilot→sustain rollout. A vision-and-policy strategy, deliberately non-prescriptive. Does NOT provide a how-to method, tool tutorials, MBSE/SysML mechanics, or implementation-plan content; thin on metrics, acquisition-policy detail, and step-by-step procedure. Excludes the CAC-gated Digital Engineering Body of Knowledge (DEBoK).

日本語の概要は準備中です。原文の説明を表示しています。

jgsystemsconsulting/jgs-se-knowledge-packs82026年10月9日 更新

jgsystemsconsulting のスキルをすべて見る

このスキルの問題を報告する