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ae-proof-agent

Diligence-grade product and technical analysis for the ae.ltd proof-agent concept, including comparison against Cursor and Omnara, MVP and production architecture, red-team review, and build-vs-buy evaluation. Use when Codex needs to create or critique PRDs, tech specs, competitive diligence, leadership memos, or multi-agent evaluation packs for agent-runtime, demo-agent, or proof-agent products.

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Install command

npx skills add https://github.com/aegntic/cldcde --skill ae-proof-agent

Copy and paste this command into Claude Code to install the skill

Source

aegntic/cldcde

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Forks2

UpdatedMarch 13, 2026 at 17:46

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24 files

SKILL.md

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name	ae-proof-agent
description	Diligence-grade product and technical analysis for the ae.ltd proof-agent concept, including comparison against Cursor and Omnara, MVP and production architecture, red-team review, and build-vs-buy evaluation. Use when Codex needs to create or critique PRDs, tech specs, competitive diligence, leadership memos, or multi-agent evaluation packs for agent-runtime, demo-agent, or proof-agent products.

ae-proof-agent

Read references/RESEARCH-GUARDRAILS.md first.

Then use the bundle in this order:

Read references/COMPETITIVE-DILIGENCE.md.
Use references/PRD.md and references/TECHSPEC.md as the base spec.
Run the prompt chain in prompts/ when generating comparable multi-agent outputs.
Score outputs with templates/SCORECARD.md.
Assemble the final memo with templates/FINAL-REPORT-OUTLINE.md.

Rules:

Separate Verified, Inference, and Unknown.
Do not invent backend details, customer metrics, or infra choices.
Use exact dates for recent releases and product changes.
Prefer primary sources when browsing is required.
Optimize for decision quality, not volume.

Use the prompt chain like this:

prompts/01-DISCOVERY.md for a source-grounded brief
prompts/02-PRD.md for product requirements
prompts/03-TECHSPEC.md for implementation planning
prompts/04-REDTEAM.md for failure analysis
prompts/05-SYNTHESIS.md for the final leadership memo

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Source

aegntic

aegntic/cldcde

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Useful forSOC

Software DevelopersComputer and Mathematical Occupations15-1252L4

name	ae-proof-agent
description	Diligence-grade product and technical analysis for the ae.ltd proof-agent concept, including comparison against Cursor and Omnara, MVP and production architecture, red-team review, and build-vs-buy evaluation. Use when Codex needs to create or critique PRDs, tech specs, competitive diligence, leadership memos, or multi-agent evaluation packs for agent-runtime, demo-agent, or proof-agent products.

ae-proof-agent

Read references/RESEARCH-GUARDRAILS.md first.

Then use the bundle in this order:

Read references/COMPETITIVE-DILIGENCE.md.
Use references/PRD.md and references/TECHSPEC.md as the base spec.
Run the prompt chain in prompts/ when generating comparable multi-agent outputs.
Score outputs with templates/SCORECARD.md.
Assemble the final memo with templates/FINAL-REPORT-OUTLINE.md.

Rules:

Separate Verified, Inference, and Unknown.
Do not invent backend details, customer metrics, or infra choices.
Use exact dates for recent releases and product changes.
Prefer primary sources when browsing is required.
Optimize for decision quality, not volume.

Use the prompt chain like this:

prompts/01-DISCOVERY.md for a source-grounded brief
prompts/02-PRD.md for product requirements
prompts/03-TECHSPEC.md for implementation planning
prompts/04-REDTEAM.md for failure analysis
prompts/05-SYNTHESIS.md for the final leadership memo