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-screenergit 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-screener)<a href="https://agentmods.dev/skills/target1m/traderspy-mcp/market-screener"><img src="https://agentmods.dev/badge/skills/target1m/traderspy-mcp/market-screener/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-screener"><img src="https://agentmods.dev/badge/skills/target1m/traderspy-mcp/market-screener.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 | $0.00191 | $0.02473 |
| Opus 5.5 | $0.00076 | $0.00989 |
| Sonnet 5.5 | $0.00038 | $0.00495 |
| Haiku 4.5 | $0.00019 | $0.00247 |
Grade A, and why
market-screener 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 14d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Two tools, one vocabulary. screen_symbols evaluates up to three AND-ed conditions across the
most-traded pairs (or a list you give it) on one timeframe, in ONE quota unit. backtest_condition
takes the same conditions, one symbol and one timeframe, and reports what price did after every
past occurrence — with the unconditional baseline so the edge is separated from the tape's drift.
Together they answer the two questions traders actually ask: "what fits this pattern right now?" and "has this pattern meant anything before?"
The condition vocabulary
A condition is { metric, op, value, period?, period2? }. op is lt / gt (latest value) or
crossAbove / crossBelow (a one-bar event: the previous bar was on the other side).
| Metric | Default period | Unit / meaning |
|---|---|---|
rsi |
14 | 0–100 |
stochastic |
14, %D 3 | slow %K, 0–100 |
cci |
20 | Commodity Channel Index (±100 typical bands) |
mfi |
14 | 0–100, volume-weighted RSI |
williamsR |
14 | −100…0 (−80 oversold, −20 overbought) |
adx |
14 | trend strength; > 25 strong, < 20 absent |
roc |
12 | rate of change, % |
macdHistogram |
12, 26 (signal 9) | histogram in price units; crossAbove 0 = bullish MACD cross |
atrPct |
14 | ATR as % of price — volatility |
volumeRatio |
20 | bar volume ÷ average of the previous N bars |
bbPercentB |
20 (2σ) | 0 = lower band, 1 = upper band; < 0 or > 1 = outside |
bbWidthPct |
20 | band width as % of the middle — small = squeeze |
priceVsEma |
50 | % distance of close from EMA(period); > 0 above |
emaSpread |
50, 200 | % of EMA(period) over EMA(period2); crossAbove 0 = golden cross |
supertrend |
10 (×3) | +1 up-trend, −1 down-trend |
changePct |
24 | % change of close over the last N BARS (on 1h, 24 = one day) |
price |
— | close |
Periods clamp to 2–200. Conditions are AND-ed; there is no OR — run two scans for an OR and merge.
Unknown metrics are rejected, so stick to the table (the full recipe list is in
references/condition-cookbook.md).
What ships with it
2 files 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.
- 14d ago Changed · +5 lines 200ba253b9b6
- 23d ago Changed 4000cc44ef8d
- 1mo ago First seen · 140 lines · 191 tokens per session scan A 6c8de0bcdda0
market-screener is a skill published in the GitHub repository target1m/traderspy-mcp (2 stars, last pushed 6d ago), licensed MIT. It adds 191 tokens to every session and 2,473 once invoked, about $0.0008 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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