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 Miha21222/tradingview-mcp --skill smc-scanninggit clone --depth 1 https://github.com/Miha21222/tradingview-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/miha21222/tradingview-mcp/smc-scanning)<a href="https://agentmods.dev/skills/miha21222/tradingview-mcp/smc-scanning"><img src="https://agentmods.dev/badge/skills/miha21222/tradingview-mcp/smc-scanning/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/miha21222/tradingview-mcp/smc-scanning"><img src="https://agentmods.dev/badge/skills/miha21222/tradingview-mcp/smc-scanning.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 | $0.00091 | $0.01122 |
| Opus 5 | $0.00046 | $0.00561 |
| Sonnet 5 | $0.00018 | $0.00224 |
| Haiku 4.5 | $0.00009 | $0.00112 |
Grade A, and why
smc-scanning 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 10d 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SMC / ICT pattern scanning
Detect smart-money / ICT structures on OHLCV bars: Fair Value Gaps, Order Blocks, Break of Structure / Change of Character, liquidity pools + sweeps, killzone sessions, and previous-period high/low. Numbers are the authority — the chart is an artifact; read the JSON, not pictures.
When to use
- Establishing a trading bias before entry decisions.
- Finding confluent setups: e.g. a liquidity sweep into a killzone that leaves an FVG.
- Checking whether a level is broken (BOS) or a move changed character (CHoCH).
- You have a symbol/timeframe in mind and want the structure, not a raw quote.
Tools
Front these first (all read-only, all name their data feed via provider):
tv_data_get_bars— OHLCV bars (Dukascopy default; OANDA ifOANDA_API_KEYset).tv_scan_fvg— Fair Value Gaps (bullish/bearish boxes with top/bottom).tv_scan_ob— Order Blocks (boxes + strength % + mitigation).tv_scan_structure— BOS and CHoCH (level + broken_index/time).tv_scan_liquidity— clustered swing highs/lows + sweeps.tv_scan_sessions— killzone blocks with each block's high/low (dealing range).tv_scan_prev_hl— previous-day/week high/low and whether price broke them.
Optional: tv_chart_render to draw the detected structures (see the chart-markup skill).
Workflow
- Get bars:
tv_data_get_bars(symbol, timeframe, count)— for M15 day-trading, 500–1000 bars is a reasonable window; match the timeframe to the intent (M15/M30 for intraday, H1/H4 for swing). - Scan structure:
tv_scan_structure(symbol, timeframe, count, swing_length). A bullish BOS above a prior swing high after a sweep is a classic setup seed. - Scan liquidity:
tv_scan_liquidity— look for swept pools (aswept_timepresent) as potential reversal triggers. - Scan FVG/OB:
tv_scan_fvgandtv_scan_ob— gaps and blocks in the direction of your bias; treat a fresh FVG as support/resistance, not a signal. - Session filter:
tv_scan_sessions(symbol, timeframe, count, session=...)— note each killzone block's high/low (the dealing range where liquidity sits). - Previous H/L:
tv_scan_prev_hl— levels traders watch; a sweep of the previous day high/low is a common stop-hunt. - Synthesize a narrative, naming each detected element with its timestamp and
price, then (optionally) render it: build a
markup_jsonand calltv_chart_render(see chart-markup skill).
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.
- 10d ago First seen · 83 lines · 91 tokens per session scan A 36707371a716
smc-scanning is a skill published in the GitHub repository Miha21222/tradingview-mcp (0 stars, last pushed 14d ago), licensed MIT. It adds 91 tokens to every session and 1,122 once invoked, about $0.0005 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 2026-08-31.
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