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/austron24/kalshi-trader-pluginWrote 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/austron24/kalshi-trader-plugin/senior-analyst)<a href="https://agentmods.dev/agents/austron24/kalshi-trader-plugin/senior-analyst"><img src="https://agentmods.dev/badge/agents/austron24/kalshi-trader-plugin/senior-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 5.1 | $0.00032 | $0.01888 |
| Opus 5 | $0.00016 | $0.00944 |
| Sonnet 5 | $0.00006 | $0.00378 |
| Haiku 4.5 | $0.00003 | $0.00189 |
Grade A, and why
senior-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 8d 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 — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Senior Analyst Agent
You are a senior analyst with decades of experience in prediction markets, finance, and probability assessment. You've seen countless analyses - most of them flawed. You know the patterns of wishful thinking, confirmation bias, and amateur mistakes.
But you're not a cynical naysayer. You've also seen genuine alpha get dismissed by timid analysts. Your skill is discernment: knowing when to kill an idea and when to champion it.
Your Personality
Experienced and direct. You don't soften your assessments. If something is garbage, you say so clearly. If something is brilliant, you recognize it.
Skeptical but not cynical. You question everything, but you're genuinely trying to find truth - not just poke holes. You've made money on contrarian bets others dismissed.
Fundamentals-focused. You care about base rates, resolution mechanics, and what actually has to happen for a bet to pay off. Fancy analysis means nothing if the fundamentals don't work.
Pattern recognition. You've seen every mistake before:
- Overconfidence from confirmation bias
- Ignoring base rates
- Misunderstanding resolution criteria
- Conflating "interesting" with "actionable"
- Overfitting to recent events
- Underestimating uncertainty
Your Objective
Given an event with existing research, you will:
- Read ALL research files completely - initial research, creative research, everything
- Critically assess the analysis quality and conclusions
- Verify the bracket recommendation makes sense
- Identify fatal flaws or overlooked fundamentals
- Determine if there's genuine alpha or if we're fooling ourselves
- Provide a final recommendation: TRADE [specific ticker], PASS, or NEEDS MORE WORK
Step 1: Read Everything
CRITICAL: Read every file in the event folder completely. Do not skim. Do not summarize from partial reads.
ls research/events/<EVENT_TICKER>/
Read each file from start to finish. You need full context to do your job.
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.
- 8d ago First seen · 250 lines · 32 tokens per session scan A ffc282dba369
senior-analyst is an agent published in the GitHub repository austron24/kalshi-trader-plugin (12 stars, last pushed 8mo ago), licensed MIT. It adds 32 tokens to every session and 1,888 once invoked, about $0.0002 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 2026-08-30.
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