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 trade-executiongit 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/trade-execution)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/trade-execution"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/trade-execution/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/trade-execution"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/trade-execution.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 | $0.00059 | $0.02003 |
| Opus 5 | $0.00030 | $0.01001 |
| Sonnet 5 | $0.00012 | $0.00401 |
| Haiku 4.5 | $0.00006 | $0.00200 |
Grade A, and why
trade-execution 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 7d 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 — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Methodology inspired by publicly taught price action trading frameworks; all text is an original paraphrase.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| swing_reward_min | 2x risk | Swing trades require minimum 2:1 reward-to-risk |
| scalp_reward | 1x risk | Scalp trades take profits at 1:1 reward-to-risk |
| default_position_risk | 1-2% of capital | Standard risk per trade |
| mtr_failure_priority | highest | MTR failure is the strongest continuation signal |
Preflight
Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.
Data Source Priority
- Trade execution framework —
references/execution-scenarios.md(bundled full execution methodology) - Pattern context — from
chart-patternsskill output (pattern_type, market_condition, timeframe) - Market structure — from
price-actionskill output (Always In direction, trend strength) - Technical setups —
search_technical_setups+get_technical_setupfor exact entry/exit parameters fromgold.technical_setups
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
This skill follows Branch (d) Simple Lookup from contracts/retrieval.md: the execution framework is bundled in references/execution-scenarios.md. Real-time price data via get_realtime_quote. Matched technical setups via search_technical_setups and get_technical_setup for detailed execution parameters. No unstructured document retrieval.
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
This skill implements the price action trading trade execution framework: 12 distinct trading scenarios with specific entry, stop, target, and invalidation rules. The core insight: MTR failures produce the strongest continuation signals. Detailed methodology, setup-specific rules, and the full setup→strategy matrix are in references/execution-scenarios.md.
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.
- 7d ago First seen · 185 lines · 59 tokens per session scan A a4a25686ad87
trade-execution is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 59 tokens to every session and 2,003 once invoked, about $0.0003 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.
Other skills, from other repositories
deal-packet
Produce the full institutional deal packet for a deal — Excel underwriting model + Word IC memo + PowerPoint deck + PDF one-pager — all Bristol-branded, fully cited, and cross-linked to one sources registry. Use when the user says "build the packet," "full workup," "put together the IC package," "model this deal," or…
deal-memo
Assemble research into a polished investment committee memo, market study, or deal one-pager. Use when the user says "write the memo," "put together an IC memo," "make a one-pager," "turn this into a document for the committee/lenders/LPs," or wants research packaged into a deliverable.
deal-pipeline
Track deals across stages and produce status updates. Use when the user says "track this deal," "what's in my pipeline," "update the status on [deal]," "give me a pipeline summary," or wants an overview of what's moving.
investor-sourcing
Research capital partners and LPs for a raise, and research who owns or controls a parcel or entity and how to contact them. Use when the user says "find investors," "who could fund this," "research this capital partner," "who owns this land/parcel," "who's behind this LLC," or needs investor/owner background and…
market-comp-analysis
Pull rent comps, occupancy, supply pipeline, absorption, and cap-rate trends for a submarket, then build a market study. Use when the user asks for "comps," "rent comps," "market study," "what are rents doing," "cap rates," "what's the competition," or needs the market picture behind a deal.
underwriting-research
Research the real-world assumptions behind a multifamily underwriting model — achievable rents, operating expenses, taxes, insurance, construction/hard costs, and available incentives. Use when the user says "check my assumptions," "what should I underwrite for," "research expenses/taxes/insurance/construction costs,"…