estimating-price-to-win

estimating-price-to-win is a skill for Claude Code from danielkinneyspears/federal-proposal-skills. It costs 96 tokens per session (1,757 once invoked), scanned A, original, Apache-2.0.

An analysis of the price a federal contract bid likely needs to reach to be competitive. Price-to-win focuses on what the customer and competitors are likely to support, while a cost estimate focuses on what the work costs the bidder.

In plain words
What is it for?
Use it to set a price target or range, examine cost and pricing drivers, and guide the win strategy and later cost-volume work.
Why use it?
It exposes gaps between the likely winning price and the team's costs. This helps the team adjust pricing choices or recognize when the bid cannot be won profitably.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the federal-proposal-skills plugin — 22 skills shipped together

Good fit Use it to set a price target or range, examine cost and pricing drivers, and guide the win strategy and later cost-volume work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/danielkinneyspears/federal-proposal-skills/estimating-price-to-win
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 danielkinneyspears/federal-proposal-skills --skill estimating-price-to-win
Clone the repo
git clone --depth 1 https://github.com/danielkinneyspears/federal-proposal-skills

Made for: Claude Code.

Or install federal-proposal-skills, the plugin that ships this one along with the rest of its 22 skills.

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 estimating-price-to-win

README.md
[![agentmods](https://agentmods.dev/badge/skills/danielkinneyspears/federal-proposal-skills/estimating-price-to-win/github.svg)](https://agentmods.dev/skills/danielkinneyspears/federal-proposal-skills/estimating-price-to-win)
Your own site
<a href="https://agentmods.dev/skills/danielkinneyspears/federal-proposal-skills/estimating-price-to-win"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/federal-proposal-skills/estimating-price-to-win/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 estimating-price-to-win

Your own site · 80×15
<a href="https://agentmods.dev/skills/danielkinneyspears/federal-proposal-skills/estimating-price-to-win"><img src="https://agentmods.dev/badge/skills/danielkinneyspears/federal-proposal-skills/estimating-price-to-win.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 96 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,757 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.
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 $0.00096 $0.01757
Opus 5 $0.00048 $0.00879
Sonnet 5 $0.00019 $0.00351
Haiku 4.5 $0.00010 $0.00176

Measured 12d ago against content hash d0bf7ff16067, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

estimating-price-to-win 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 12d 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/estimating-price-to-win/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Estimating Price-to-Win

Estimate the price the bid has to reach to win — built from the customer's budget and competitors' likely pricing, not from the team's own cost. Price-to-win (PTW) and a bottom-up cost estimate answer different questions. The cost estimate says what the work costs the team. PTW says what the customer is willing and likely to pay the winner. When those two numbers differ, PTW analysis finds the levers that close the gap — or proves the bid cannot be won profitably.

When to use this skill

Use this skill during capture, after a competitive assessment exists, to establish the price target that shapes the win strategy and, later, the cost volume. Re-run it when the competitive picture or budget signals change, and again when the RFP clarifies the contract type, evaluation weighting, and CLIN structure.

This skill estimates the target. It does not build the bottom-up cost estimate or write the cost volume narrative — that is narrating-cost-volumes. It hands the target to that skill and to developing-win-strategy.

Inputs

Preferred upstream artifacts:

  • 00-opportunity-profile.md: contract type, estimated value, period of performance, scope.
  • 02-capture-plan.md: customer budget signals and acquisition history.
  • 03-competitive-assessment.md: the competitors and their assessed price postures and cost structures. PTW depends heavily on this; run analyzing-competitors first if it is missing.

Without the competitive assessment, the skill can still produce a budget-based estimate, but it must flag that the competitor-price leg of the analysis is missing and confidence is reduced.

Read ../../shared/glossary.md, ../../shared/federal-solicitation-primer.md, and ../../shared/pursuit-workspace.md if not already read this session.

Intake

Ask these as a numbered list. Skip what upstream artifacts answer.

  1. The buy. Contract type (FFP, T&M, cost-reimbursement, hybrid), scope, period of performance including option years, and CLIN structure if known.
  2. The evaluation. Is the approach best-value tradeoff or LPTA? How is price weighted against non-price factors? For cost-reimbursement work, will the government perform a cost-realism analysis? (If the RFP is out, Section M answers this.)
  3. Budget signals. What is known or assessed about the customer's budget — the funding line, an independent government cost estimate if signaled, the prior contract's value, or the value of comparable awards?
  4. The team's cost picture. What is the team's rough bottom-up cost view, if any — labor mix, wrap rates, subcontractor content, escalation assumptions? (Used to size the gap, not to set the target.)
  5. Pricing flexibility. Where does the team have real room to move — labor mix, indirect rates, fee, escalation, subcontractor selection, solution scope choices, the make/buy split?
  6. Strategic posture. Is this a must-win where the team will price thin, a margin-priority bid, or somewhere between?

Read the full file on GitHub · 141 lines

Files

What ships with it

3 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. 12d ago First seen · 141 lines · 96 tokens per session scan A d0bf7ff16067

Subscribe to this mod's changes

estimating-price-to-win is a skill published in the GitHub repository danielkinneyspears/federal-proposal-skills (5 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 96 tokens to every session and 1,757 once invoked, about $0.0005 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 2026-08-31.

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