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 long-short-equitygit 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/long-short-equity)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/long-short-equity"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/long-short-equity/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/long-short-equity"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/long-short-equity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00045 | $0.01658 |
| Opus 5 | $0.00023 | $0.00829 |
| Sonnet 5 | $0.00009 | $0.00332 |
| Haiku 4.5 | $0.00005 | $0.00166 |
Grade A, and why
long-short-equity 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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Methodology fused from institutional long/short and buy-side research frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| parameter_free | true | This skill has no tunable parameters; analysis scope set by temporal_scope frontmatter |
Preflight
Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.
Data Source Priority
- Strategy methodology —
references/strategy-methodology.md(bundled long/short framework) - Strategy frameworks —
search_investment_strategies(domain=fundamental) - Historical precedent —
search_investment_cases+search_by_analogue(company_situation=...) - Financials —
search_xbrl_factsfor unit economics and decline-rate evidence
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
Ownership & insider signals: search_institutional_holdings (top-10 holders + whale portfolios, direction=accumulating|reducing|new|exited) and search_insider_trades (Form-4 transactions with SEC URLs) are available as signal inputs.
Branch (a) Structured Data Query from contracts/retrieval.md. Retrieve frameworks via search_investment_strategies, precedent via search_investment_cases and search_by_analogue. Detailed methodology in references/strategy-methodology.md.
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
Every long/short position rests on an earnings disconnect — a gap between what the market
has priced and what the business will deliver. The unifying question across all strategy
types is: what does consensus believe, and what do I believe differently? Strategy
spectrum, short archetypes, and process detail are in references/strategy-methodology.md.
Consensus is not the published number. Sell-side consensus is a simple average of analyst estimates; buy-side consensus typically moves ahead of it. Trading against the published figure while the real positioning has already shifted is a common and expensive error. Triangulate the effective buy-side expectation before sizing any view.
What ships with it
3 files 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.
- 6d ago First seen · 151 lines · 45 tokens per session scan A c4413256a695
long-short-equity is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 45 tokens to every session and 1,658 once invoked, about $0.0002 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 2026-09-05.
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