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/spark)<a href="https://agentmods.dev/commands/moshcoder/moshcode/spark"><img src="https://agentmods.dev/badge/commands/moshcoder/moshcode/spark/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/spark"><img src="https://agentmods.dev/badge/commands/moshcoder/moshcode/spark.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 | $0.00010 | $0.00376 |
| Opus 5.5 | $0.00004 | $0.00150 |
| Sonnet 5.5 | $0.00002 | $0.00075 |
| Haiku 4.5 | $0.00001 | $0.00038 |
Grade A, and why
spark 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
Compare recent price action across $ARGUMENTS.
moshcode crypto spark $ARGUMENTS --period 24h --json
--period is 24h or 7d. Up to 20 pairs per call. With no pairs given, ask
which ones — or offer the majors (BTC, ETH, SOL).
Fallback: curl -sS "https://advis0r.com/api/crypto/sparklines?symbols=BTC-USD,ETH-USD&period=24h"
Reading the response
series is keyed by canonical symbol, each with points[] (closes, ascending),
first, last, changePercent, and the start/end of the window.
Rules
- Lead with
changePercentper pair and rank them — that is the question a multi-pair call is asking. - Each series is scaled to itself. A dramatic-looking shape on one pair and a flat one on another can be the same percentage move; compare the numbers, not the shapes.
- Name the window (
start→end) and the period. "Up 5%" over 24h and over 7d are different claims. - Do not extrapolate a trend from 24 points, and do not call a direction
"momentum" without the technicals to back it —
/crypto:report <PAIR>has those. - 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 · 37 lines · 10 tokens per session scan A fc2fe359cb6b
spark is a command published in the GitHub repository moshcoder/moshcode (3 stars, last pushed 4d ago), licensed MIT. It adds 10 tokens to every session and 376 once invoked, about $0.0000 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
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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.