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/moshcoder/moshcodeWrote 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/moshcoder/moshcode/quote)<a href="https://agentmods.dev/commands/moshcoder/moshcode/quote"><img src="https://agentmods.dev/badge/commands/moshcoder/moshcode/quote/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/moshcoder/moshcode/quote"><img src="https://agentmods.dev/badge/commands/moshcoder/moshcode/quote.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 | $0.00014 | $0.00312 |
| Opus 5.5 | $0.00006 | $0.00125 |
| Sonnet 5.5 | $0.00003 | $0.00062 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
quote scanned grade A with 1 finding 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 1mo 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
allowed-tools: Bash(moshcode crypto:*), Bash(curl -sS https://advis0r.com/api/crypto/:*) What it actually says
Task
Get the current quote for $ARGUMENTS.
moshcode crypto quote $ARGUMENTS --json
Fallback: curl -sS "https://advis0r.com/api/crypto/quote?symbol=$ARGUMENTS"
Reading the response
quotes[] each carry latestTrade (price, size, timestamp), latestQuote
(bidPrice/bidSize/askPrice/askSize), spread, spreadBps, and mid.
Rules
- Give the price at the precision the pair trades at. SHIB near $0.000006 rounded to two decimals is "$0.00", which is wrong, not concise.
spreadBpsis the cost of crossing. A wide spread means thin liquidity on this venue — report it alongside the price rather than burying it.latestTrade.timestampandlatestQuote.timestampcan differ. If the last trade is old, the mid is a quote, not evidence of a trade at that level.- Prices are Alpaca's US crypto venue and trade 24/7 — never "at the close".
- End with the response's own
disclaimer.
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.
- 1mo ago First seen · 32 lines · 14 tokens per session scan A ce031fa8fc2b
quote is a command published in the GitHub repository moshcoder/moshcode (3 stars, last pushed 4d ago), licensed MIT. It adds 14 tokens to every session and 312 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
hyperliquid-risk
Mission-critical real-time risk monitoring system with automated alerts, circuit breakers, and emergency shutdown for live Hyperliquid trading by ae.ltd.
global-flags
Cryptocurrency wallet for trading for Bitcoin, Bitcoin cash, Ethereum, ERC20, XRP Leger (Ripple).
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.