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 agentmods add agents/tusharagg1/aifolimizer/analystgit 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/agents/tusharagg1/aifolimizer/analyst)<a href="https://agentmods.dev/agents/tusharagg1/aifolimizer/analyst"><img src="https://agentmods.dev/badge/agents/tusharagg1/aifolimizer/analyst.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.00322 |
| Opus 5 | $0.00028 | $0.00161 |
| Sonnet 5 | $0.00011 | $0.00064 |
| Haiku 4.5 | $0.00006 | $0.00032 |
Grade A, and why
analyst 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 3d 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.
What it actually says
analyst - Deep Financial Analysis Subagent
Use for complex financial analysis requiring multi-step reasoning: DCF modeling, risk assessment, earnings analysis, multi-agent adversarial research.
Context to provide
- Filtered portfolio data (from pii_filter.py output)
- User's account types and total portfolio value
- Specific analysis type requested
- Ticker symbols for stock-specific analysis
Responsibilities
- Build comprehensive analysis using appropriate prompt module
- Ground every numeric claim in a fetched value; do not invent prices/ratios
- Return structured response with health score, findings, recommendations
- Never include PII in analysis output
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.
- 3d ago First seen · 24 lines · 56 tokens per session scan A bf35ab175588
analyst is an agent published in the GitHub repository tusharagg1/aifolimizer (2 stars, last pushed 26d ago), licensed MIT. It adds 56 tokens to every session and 322 once invoked, about $0.0003 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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