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 staskh/trading_skills --skill ib-collargit clone --depth 1 https://github.com/staskh/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/staskh/trading_skills/ib-collar)<a href="https://agentmods.dev/skills/staskh/trading_skills/ib-collar"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/ib-collar/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/staskh/trading_skills/ib-collar"><img src="https://agentmods.dev/badge/skills/staskh/trading_skills/ib-collar.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 | $0.00030 | $0.01005 |
| Opus 5.5 | $0.00012 | $0.00402 |
| Sonnet 5.5 | $0.00006 | $0.00201 |
| Haiku 4.5 | $0.00003 | $0.00101 |
Grade A, and why
ib-collar 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 1mo 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IB Tactical Collar
Generate a tactical collar strategy report for protecting PMCC positions through earnings or high-risk events.
IB Connection
TWS or IB Gateway must be running locally with API enabled:
- Paper trading — port 7497
- Live trading — port 7496
IB_PORTenv var — default port when--portis omitted (e.g.IB_PORT=4001for a Gateway container). Precedence:--portflag >IB_PORT> built-in default. Set it in the shell or a.envfile.
Port fallback: If the configured port fails, automatically retry on the other port. If the retry succeeds, save to memory which account type worked (live/paper) and reuse it for all IB skill calls in this and future sessions — until the user explicitly asks for the other account. If both ports fail, ask the user to verify that TWS or IB Gateway is running with API access enabled.
Instructions
Step 1: Gather Data
uv run python scripts/collar.py SYMBOL [--port PORT] [--account ACCOUNT]
The script returns JSON to stdout with all position and scenario data.
Step 2: Format Report
Read templates/markdown-template.md for formatting instructions. Generate a markdown report from the JSON data and save to sandbox/.
Step 3: Report Results
Present key findings to the user: recommended put protection, cost/benefit, and the saved report path.
Arguments
SYMBOL- Stock symbol to analyze (must be in portfolio)--port- IB port (default: 7497 for paper trading)--account- Specific account ID (optional, searches all accounts)
JSON Output
The script returns JSON with these key fields:
symbol,current_price- Basic infolong_strike,long_expiry,long_qty,long_cost- LEAPS positionshort_positions- List of short callsis_proper_pmcc,short_above_long- PMCC health flagsearnings_date,days_to_earnings- Earnings timingput_analysis- List of put scenarios with costs and P&L under gap up/flat/downunprotected_loss_10,unprotected_loss_15,unprotected_gain_10- LEAPS risk without collarvolatility- Historical volatility data
What ships with it
2 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.
- 1mo ago First seen · 107 lines · 30 tokens per session scan A c816cba5d1ea
ib-collar is a skill published in the GitHub repository staskh/trading_skills (389 stars, last pushed 4d ago), licensed MIT. It adds 30 tokens to every session and 1,005 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.
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