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 BaggaT236/AI-Trading-Skills --skill ibd-distribution-day-monitorgit clone --depth 1 https://github.com/BaggaT236/AI-Trading-SkillsWrote 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/baggat236/ai-trading-skills/ibd-distribution-day-monitor)<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/ibd-distribution-day-monitor"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/ibd-distribution-day-monitor/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/baggat236/ai-trading-skills/ibd-distribution-day-monitor"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/ibd-distribution-day-monitor.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 | $0.00107 | $0.01359 |
| Opus 5 | $0.00053 | $0.00679 |
| Sonnet 5 | $0.00021 | $0.00272 |
| Haiku 4.5 | $0.00011 | $0.00136 |
Grade A, and why
ibd-distribution-day-monitor 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 12d 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.
This is a copy
100% identical to ibd-distribution-day-monitor — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IBD Distribution Day Monitor
Purpose
Detect IBD-style Distribution Days for major market ETFs (QQQ as Nasdaq proxy, SPY as S&P 500 proxy) and produce a daily market deterioration signal plus a TQQQ/QQQ exposure recommendation. Designed for post-market review.
When to Use
Invoke this skill:
- Daily after the US market close.
- Before increasing TQQQ exposure or rebalancing leveraged positions.
- When evaluating whether an uptrend is becoming vulnerable to a correction.
- As an upstream input to FTD (Follow-Through Day) detection or other market-state frameworks.
Do NOT use this skill to:
- Execute trades or modify orders.
- Generate discretionary market predictions outside of the IBD ruleset.
Inputs
- Symbols (default: QQQ, SPY) and lookback (default 80 trading sessions).
- Optional
--as-of YYYY-MM-DDfor backtesting against a historical session. - Strategy context: instrument (TQQQ or QQQ), current exposure %, base trailing stop %.
- FMP API key via
--api-key,config.data.api_key, orFMP_API_KEYenv var (in that priority order).
Core Rules
A Distribution Day is detected when:
- Today's close is at least 0.2% below yesterday's close.
- Today's volume is greater than yesterday's volume.
A Distribution Day is removed from the active count when either:
- More than 25 trading sessions have elapsed since the DD.
- The index has gained 5% from the DD close (using post-DD high by default; configurable to close-source).
Today's DD is never invalidated immediately because there are no post-DD sessions to evaluate the 5% gain against.
Counting Conventions
d5_count/d15_count/d25_countcount active records withage_sessions <= N.- This means N+1 sessions are inspected (age 0..N inclusive). Reports therefore say "within N elapsed sessions" rather than "直近 N 取引日" to avoid ambiguity.
Risk Classification
| Risk | Trigger |
|---|---|
| NORMAL | d25 <= 2 |
| CAUTION | d25 >= 3 |
| HIGH | d25 >= 5 OR d15 >= 3 OR d5 >= 2 |
| SEVERE | d25 >= 6 OR d15 >= 4 OR (market_below_21ema_or_50ma AND d25 >= 5) |
What ships with it
23 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.
- config/default.yaml 1.1 KB
- references/ibd_distribution_methodology.md 4.4 KB
- references/tqqq_exposure_policy.md 2.5 KB
- scripts/_fmp_compat.py 4.9 KB runs code
- scripts/data_loader.py 3.0 KB runs code
- scripts/distribution_day_tracker.py 5.9 KB runs code
- scripts/exposure_policy.py 2.2 KB runs code
- scripts/fmp_client.py 16 KB runs code
- scripts/history_utils.py 1.9 KB runs code
- scripts/ibd_monitor.py 16 KB runs code
- scripts/math_utils.py 1.5 KB runs code
- scripts/models.py 2.3 KB runs code
- scripts/report_generator.py 5.8 KB runs code
- scripts/risk_classifier.py 1.9 KB runs code
- scripts/tests/conftest.py 315 B runs code
- scripts/tests/helpers.py 3.4 KB runs code
- scripts/tests/test_data_loader.py 3.4 KB runs code
- scripts/tests/test_distribution_day_tracker.py 14 KB runs code
- scripts/tests/test_exposure_policy.py 2.3 KB runs code
- scripts/tests/test_history_utils.py 2.0 KB runs code
- scripts/tests/test_math_utils.py 1.1 KB runs code
- scripts/tests/test_report_generator.py 3.1 KB runs code
- scripts/tests/test_risk_classifier.py 2.9 KB runs code
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.
- 12d ago First seen · 105 lines · 107 tokens per session scan A af7bda67bec7
ibd-distribution-day-monitor is a skill published in the GitHub repository BaggaT236/AI-Trading-Skills (121 stars, last pushed 9d ago), licensed MIT. It adds 107 tokens to every session and 1,359 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ibd-distribution-day-monitor, differing in 0 lines, and is treated as a copy.
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