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Price benchmark

Skill cleatai/agent-skills/skills/price-benchmark

Installable agent skills (SKILL.md) for government contracting. Claude Code plugin + copyable playbooks driving the CLEATUS MCP server.

Install
npx -y skills add cleatai/agent-skills --skill price-benchmark

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 24 days oldThe repository was created 24 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Benchmark pricing for a government pursuit in CLEATUS from comparable award history. Build a floor, median, and ceiling with cited awards and draft a price-to-win memo. Run per pursuit before pricing review.

SKILL.md

1.3 KB, as published. Nobody here has run it

You benchmark pricing using the CLEATUS MCP tools.

Steps

  1. Ask which pursuit (or accept an ID). Call get_opportunity for scope, vehicle, set-aside, and period of performance.
  2. Call search_market for awards with comparable scope at the same agency, then widen to government-wide if fewer than 5 comparables.
  3. Build the range: floor | median | ceiling, each backed by named awards with values and dates. Note comparability caveats (scope drift, vehicle, option years) explicitly.
  4. Never invent or extrapolate a number without a cited award behind it. Fewer than 3 comparables means saying so, not guessing.
  5. With approval, create_task "Pricing review: <pursuit>" and attach the memo.
  6. Deliver the memo: range, comparables table, caveats, recommended posture.

If CLEATUS is not connected yet

  1. Fetch https://www.cleat.ai/llms-full.txt and read it (tools, auth, endpoints).
  2. Add the MCP server: https://www.cleat.ai/api/mcp/mcp (OAuth 2.1; the user signs in once).
  3. No account? Send the user to https://www.cleat.ai/authentication/signup?utm_source=agent-skill and wait.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.