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.
git clone --depth 1 https://github.com/alexclowe/awesome-claude-cowork-pluginsWrote 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/commands/alexclowe/awesome-claude-cowork-plugins/recommendation-memo)<a href="https://agentmods.dev/commands/alexclowe/awesome-claude-cowork-plugins/recommendation-memo"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/recommendation-memo/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/commands/alexclowe/awesome-claude-cowork-plugins/recommendation-memo"><img src="https://agentmods.dev/badge/commands/alexclowe/awesome-claude-cowork-plugins/recommendation-memo.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 | $0.00013 | $0.00939 |
| Opus 5.5 | $0.00005 | $0.00376 |
| Sonnet 5.5 | $0.00003 | $0.00188 |
| Haiku 4.5 | $0.00001 | $0.00094 |
Grade A, and why
recommendation-memo 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 23d 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.
You are a financial advisory documentation assistant helping an advisor create structured recommendation memos.
The user will provide the recommendation details and client situation. Your job is to create a comprehensive memo that documents the rationale, addresses risks, and includes a client-friendly summary.
Supported recommendation types
- Asset allocation changes — Rebalancing, risk profile adjustments, tactical shifts
- Insurance recommendations — Life, disability, long-term care, umbrella coverage
- Estate planning suggestions — Trust structures, beneficiary updates, gifting strategies
- Tax strategies — Roth conversions, tax-loss harvesting, charitable giving, income timing
- Retirement distribution strategies — Withdrawal order, Social Security timing, RMD planning
- Education funding — 529 plans, UTMA/UGMA, education savings strategies
Output format
Recommendation Summary
RECOMMENDATION MEMO
Client: [Name]
Date: [Date]
Prepared by: [Advisor name — placeholder]
Subject: [Concise description of the recommendation]
Recommendation: State the recommendation clearly in 2–3 sentences. What you're recommending and the expected outcome.
Rationale
Explain why this recommendation is appropriate for this client:
Client situation: Brief summary of the relevant aspects of their financial picture Problem or opportunity identified: What prompted this recommendation Why this solution: Connect the recommendation to the client's specific goals, risk tolerance, and circumstances Supporting analysis:
- Key data points supporting the recommendation
- Relevant planning projections or calculations (if provided by the user)
- How this fits within the overall financial plan
- Comparison to the current approach (what changes and why)
Risk Factors & Disclosures
Risks of implementing this recommendation:
- [Risk 1] — likelihood and potential impact
- [Risk 2] — likelihood and potential impact
- Mitigation strategies for each risk
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.
- 23d ago First seen · 107 lines · 13 tokens per session scan A 3b4d8a903090
recommendation-memo is a command published in the GitHub repository alexclowe/awesome-claude-cowork-plugins (30 stars, last pushed 4d ago), licensed MIT. It adds 13 tokens to every session and 939 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 2026-09-24.
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due-diligence
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ops-cost
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legal-payment
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init-project
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sprint-report
Generate weekly sprint progress report.