full-equity-research
SkillCommerce & financeThe Auto 档 scenario — a soft-plan orchestrator for a complete fundamental equity research thesis: understand → financials → valuation → synthesize. The body is a soft plan (stages), not a rigid DAG; correctness is enforced by each referenced skill's own requires: preconditions, never by this plan's rigidity (Q2).
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the full-equity-research skill
What this skill tells your AI
The instructions your AI receives, as published by agentii-ai/agentii-investment-intelligence in plugins/vertical-plugins/scenarios/skills/agentii/full-equity-research/SKILL.md and read by ahel’s review.
scenario: full-equity-research
stages:
- skill: business-model
- skill: competitive
- skill: recent-quarter
- skill: valuation-methods
- skill: dcf
notes: >-
Foreign issuers use 20-F/6-K instead of 10-K/8-K; small caps may skip dcf.
Dispatch each stage as its own subagent (context isolation, Q2); handoff
passes artifact PATHS, never content (Q13 rule 3).
Validated by validate_scenes.py: registry-key references + acyclicity.
Signals
- GitHub stars
- 204
- Forks
- 16
- Last commit
- Sep 2026
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full-equity-research- Source
- github.com/agentii-ai/agentii-investment-intelligence