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 skills add target1m/traderspy-mcp --skill market-briefinggit clone --depth 1 https://github.com/target1m/traderspy-mcpWrote 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/target1m/traderspy-mcp/market-briefing)<a href="https://agentmods.dev/skills/target1m/traderspy-mcp/market-briefing"><img src="https://agentmods.dev/badge/skills/target1m/traderspy-mcp/market-briefing/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/skills/target1m/traderspy-mcp/market-briefing"><img src="https://agentmods.dev/badge/skills/target1m/traderspy-mcp/market-briefing.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 | $0.00174 | $0.01618 |
| Opus 5.5 | $0.00070 | $0.00647 |
| Sonnet 5.5 | $0.00035 | $0.00324 |
| Haiku 4.5 | $0.00017 | $0.00162 |
Grade A, and why
market-briefing 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 23d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A briefing is a fixed set of questions answered with fresh numbers, in an order a trader can scan in thirty seconds: where are the majors, how is the market positioned, what is the signal engine seeing, what stands out on the screener. The value is in the selection and the brevity, not in the volume of data — every tool call costs the user quota, so the playbook below is deliberately tight.
The playbook (6 calls, all read-only)
- Majors —
get_pricewith["BTCUSDT","ETHUSDT","SOLUSDT"]plus any coins the user has mentioned in the conversation (≤ 20 per call). Price, 24h change, 24h range. - Positioning —
get_derivativeswith["BTC","ETH","SOL"](add up to two of the user's coins). Funding label and annualized rate, open-interest change and regime, top-trader long share, taker flow. Thenotes[]are written to be quoted. - Movers —
screen_symbolswith no conditions,sortBy: "change24h",limit: 50,universe: 50,interval: "4h". One call returns all 50 most-traded pairs sorted by 24h change: the top five are the gainers, the last five the losers. - What is stretched —
screen_symbolswith[{"metric":"rsi","op":"lt","value":30}]on 4h,limit: 5. If it returns nothing, flip torsi gt 70— one of the two usually has names. - Signal engine —
get_signal_statswithperiod: "24h"(or7dfor a weekly recap). - Freshest ideas —
get_signalswithlimit: 5.
Smart-money lean is already in step 2 (positioning.topTraderLongPct); add get_positions
(status: open, limit: 20) only when the user asks who specifically is positioned how.
Quota-aware variants. If the user is on a free key or asks for "just the headline", run steps
1, 2 and 5 only (three calls) and say what you skipped. For a weekly recap use 7d in step 5 and
interval: "1d" in steps 3–4.
If any call fails or returns empty, keep the section with a one-line "unavailable right now" note rather than dropping it silently — a briefing with a hole is more honest than one that quietly narrowed.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 23d ago Changed · +1 lines 06a58cdbb89f
- 1mo ago First seen · 88 lines · 174 tokens per session scan A 7981fb9ea74d
market-briefing is a skill published in the GitHub repository target1m/traderspy-mcp (2 stars, last pushed 6d ago), licensed MIT. It adds 174 tokens to every session and 1,618 once invoked, about $0.0007 per session on Opus 5.5. 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 2026-09-14.
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