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 rate-cyclegit 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/rate-cycle)<a href="https://agentmods.dev/skills/agentii-ai/agentii-investment-intelligence/rate-cycle"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/rate-cycle/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/rate-cycle"><img src="https://agentmods.dev/badge/skills/agentii-ai/agentii-investment-intelligence/rate-cycle.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 | $0.00046 | $0.00708 |
| Opus 5 | $0.00023 | $0.00354 |
| Sonnet 5 | $0.00009 | $0.00142 |
| Haiku 4.5 | $0.00005 | $0.00071 |
Grade A, and why
rate-cycle 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Defaults
| Parameter | Default Value | Rationale |
|---|---|---|
| lookback_quarters | 8 | Captures full rate cycle from hiking to cutting |
| key_indicators | fed_funds, 2s10s_spread, dot_plot, inflation_breakevens | Core rate cycle indicators |
Preflight
Run canonical pre-flight per contracts/preflight.md. Propagate X-Agentii-Trace per contracts/x-agentii-trace-header.md.
Data Source Priority
- Knowledge entries (L1 rate cycle frameworks) -> 2. search_by_analogue(market_regime: rate-shock) -> 3. Real-time data
Methodology
Retrieval Scope
structured_only
Retrieval Strategy
Query knowledge entries for rate cycle frameworks; query search_by_analogue for historical rate cycles; supplement with real-time data.
Temporal Scope
See frontmatter temporal_scope block.
Tool Allowlist
See frontmatter allowed_tools.
Protocol
- Rate Cycle Phase — classify hiking/plateau/cutting/emergency
- Yield Curve Analysis — 2s10s spread, 3m10y, breakeven inflation
- Framework Application — Taylor Rule, duration management
- Analogue Retrieval — past rate cycles matching current phase
Output File
{ticker}/{YYYY-MM-DD_HHMM}_rate-cycle_{affix}.md
Output Structure
- Executive Summary — key findings in 2-3 sentences
- Core Analysis — applied frameworks with specific evidence
- Quantitative Indicators — key metrics and benchmarks
- Historical Analogues — matched cases with /v/cases/ citations
- Risk Assessment — key risk factors and mitigants
- Coverage Gaps — data limitations and degraded flags Rate Cycle Phase 3. Yield Curve Decomposition 4. Central Bank Posture 5. Duration and Curve Positioning 6. Historical Analogues 7. Scenarios
Error Handling
| Error | Fallback |
|---|---|
| No frameworks | Proceed with standard indicators; flag degraded |
Memory Load
See contracts/memory-load.md.
Snapshot
See contracts/snapshot-synthesis.md.
Final Summary (TUI)
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 · 93 lines · 46 tokens per session scan A cc4bb83f17e0
rate-cycle is a skill published in the GitHub repository agentii-ai/agentii-investment-intelligence (204 stars, last pushed yesterday), licensed Apache-2.0. It adds 46 tokens to every session and 708 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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