Borrowing it
Nothing to install: this file belongs to tusharagg1/aifolimizer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tusharagg1/aifolimizer/master/.claude/skills/cash-deployment/SKILL.mdgit clone --depth 1 https://github.com/tusharagg1/aifolimizerWrote 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/tusharagg1/aifolimizer/cash-deployment)<a href="https://agentmods.dev/skills/tusharagg1/aifolimizer/cash-deployment"><img src="https://agentmods.dev/badge/skills/tusharagg1/aifolimizer/cash-deployment/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/tusharagg1/aifolimizer/cash-deployment"><img src="https://agentmods.dev/badge/skills/tusharagg1/aifolimizer/cash-deployment.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 | $0.00092 | $0.02411 |
| Opus 5 | $0.00046 | $0.01205 |
| Sonnet 5 | $0.00018 | $0.00482 |
| Haiku 4.5 | $0.00009 | $0.00241 |
Grade A, and why
cash-deployment 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 10d 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 — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Cash Deployment (Add-to-Winners with Discipline)
How to run
Step 0 - Memory (call in parallel with Step 1):
- Call
mcp__aifolimizer__get_cross_ticker_lessonswithmax_lessons=3- surface recent stop-outs or wins. If any top add candidates were recently stopped out, require new data to justify re-entry. - Call
mcp__aifolimizer__recall_preferenceswithquery="cash deployment add position"- investor preferences on sizing and account allocation. - Call
mcp__aifolimizer__get_personal_context- province, marginal tax rate, account waterfall, FHSA/FTHB horizon. This grounds the §5 tax-account routing (US-dividend→RRSP, growth→TFSA/FHSA). Ifpresent=false, flag the tax reasoning as generic and suggest the user run profile-setup.
- Call
mcp__aifolimizer__get_profile- per-account cash balances. Cash sits in specific accounts (TFSA, RRSP, Non-Reg) - can't move cash across account types without contribution-room consequences - Confirm with user: which account(s) is cash in? If unstated, use account(s) with largest cash balance from
get_profile - Call
mcp__aifolimizer__get_portfoliowithaccount_id=<that account>- current holdings, weights, cost basis - Call
mcp__aifolimizer__get_concentration_warnings- already-overweight names to EXCLUDE from add candidates - Call
mcp__aifolimizer__get_fundamentalson existing holdings - sort by valuation + analyst target upside - Call
mcp__aifolimizer__get_technicalson existing holdings - sort by Minervini stage 2 + RSI not overbought + trend uptrend - Call
mcp__aifolimizer__get_positioning_signalson existing holdings - crowding score per name. EXCLUDE consensus-crowded names from add candidates - For the top 3 candidates after filtering, call
mcp__aifolimizer__get_ticker_decision_history(one call per candidate, parallel) - check for prior stop-outs or failed entries on these specific tickers - Cross-reference: ideal add = (not concentration-flagged) AND (stage 2 uptrend) AND (RSI 40-65) AND (analyst upside >10%) AND (fundamentals not deteriorating) AND (crowding_score < 70) AND (lottery_flag != true) AND (no recent stop-out without new thesis override)
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.
- 10d ago First seen · 117 lines · 92 tokens per session scan A bbb4ddd16e82
cash-deployment is a skill published in the GitHub repository tusharagg1/aifolimizer (2 stars, last pushed 8d ago), licensed MIT. It adds 92 tokens to every session and 2,411 once invoked, about $0.0005 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 2026-08-31.
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