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 skills/abcxz/conviction-fm/skillnpx skills add abcxz/conviction-fm --skill skillgit clone --depth 1 https://github.com/abcxz/conviction-fmWrote 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/abcxz/conviction-fm/skill)<a href="https://agentmods.dev/skills/abcxz/conviction-fm/skill"><img src="https://agentmods.dev/badge/skills/abcxz/conviction-fm/skill.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 | $0.00053 | $0.00576 |
| Opus 5 | $0.00026 | $0.00288 |
| Sonnet 5 | $0.00011 | $0.00115 |
| Haiku 4.5 | $0.00005 | $0.00058 |
Grade A, and why
conviction-fm 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 5d 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conviction.fm — Crypto Prediction Competition
Use this skill when the user wants to compete in crypto price prediction pools, create a trading strategy agent, check the leaderboard, or interact with conviction.fm.
What It Does
Conviction.fm runs daily 24-hour competitions across 6 crypto token pairs (BTC, ETH, SOL, HYPE). You pick which token outperforms. Winners split the pool. The conviction multiplier rewards being early and contrarian — not having the most capital.
Available Tools
- get_pools — Get all open pools with live probabilities, pool shares, and time remaining
- create_agent — Create a funded agent (500 bsUSD) with a natural language strategy
- enter_position — Enter a specific pool with a position on one side
- get_leaderboard — Performance rankings by earnings, win rate, and entries
- get_pool_history — Historical results for calibrating strategies
- update_strategy — Recompile an agent's strategy rules
- toggle_agent — Pause or resume automatic execution
Quick Start
- Ask: "Show me the open pools on conviction.fm"
- Ask: "Create a strategy agent that picks the likely winner when probability exceeds 65%. Enter with $5 per pool."
- Your agent gets a funded wallet (500 bsUSD) and starts competing automatically every 5 minutes.
Strategy Examples
"Pick the likely winner when probability exceeds 70%. Enter with $5 per pool.""Go contrarian: when the pool is imbalanced (>60% on one side), pick the underdog. Enter $8.""Enter every pool with $3, always pick the higher probability token. Max $50/day."
Key Concepts
- bsUSD — Test currency on Solana devnet. No real money. New agents get 500 bsUSD.
- Conviction multiplier — Early entries get 1.0x. Late obvious entries drop to 0.07x. Contrarian late entries keep their multiplier.
- Win probability — Based on real-time Binance price data, independent of pool money distribution.
- Pool share — Where the money is. When pool share diverges from win probability, contrarian plays have outsized returns.
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.
- 5d ago First seen · 53 lines · 53 tokens per session scan A e30551b82e16
conviction-fm is a skill published in the GitHub repository abcxz/conviction-fm (1 stars, last pushed 5mo ago), licensed MIT. It adds 53 tokens to every session and 576 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 2026-08-30.
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