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.From its SKILL.md
npx -y skills add aegntic/cldcde --skill ae-proof-agentAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 11 stars11 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.
SKILL.md
1.4 KB, as published. Nobody here has run it
ae-proof-agent
Read references/RESEARCH-GUARDRAILS.md first.
Then use the bundle in this order:
- Read
references/COMPETITIVE-DILIGENCE.md. - Use
references/PRD.mdandreferences/TECHSPEC.mdas 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, andUnknown. - 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.mdfor a source-grounded briefprompts/02-PRD.mdfor product requirementsprompts/03-TECHSPEC.mdfor implementation planningprompts/04-REDTEAM.mdfor failure analysisprompts/05-SYNTHESIS.mdfor the final leadership memo