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.
npx skills add agentii-ai/agentii-investment-intelligence --skill full-equity-researchgit clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligenceWrote 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.
[](https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/full-equity-research)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/full-equity-research"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/full-equity-research/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.
<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/full-equity-research"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/full-equity-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.00232 |
| Opus 5 | $0.00037 | $0.00116 |
| Sonnet 5 | $0.00015 | $0.00046 |
| Haiku 4.5 | $0.00007 | $0.00023 |
Grade A, and why
full-equity-research 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 2d 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.
What it actually says
full-equity-research
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.
What ships with it
1 file 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.
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.
- 2d ago First seen · 25 lines · 74 tokens per session scan A a92daea76ef4
full-equity-research is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 74 tokens to every session and 232 once invoked, about $0.0004 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 2026-09-09.
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