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 openclawby/tradingview-mcp --skill replay-practicegit clone --depth 1 https://github.com/openclawby/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/openclawby/tradingview-mcp/replay-practice)<a href="https://agentmods.dev/skills/openclawby/tradingview-mcp/replay-practice"><img src="https://agentmods.dev/badge/skills/openclawby/tradingview-mcp/replay-practice/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/openclawby/tradingview-mcp/replay-practice"><img src="https://agentmods.dev/badge/skills/openclawby/tradingview-mcp/replay-practice.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 | $0.00038 | $0.00461 |
| Opus 5 | $0.00019 | $0.00230 |
| Sonnet 5 | $0.00008 | $0.00092 |
| Haiku 4.5 | $0.00004 | $0.00046 |
Grade A, and why
replay-practice 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 9d 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.
This is a copy
88% identical to replay-practice — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Replay Practice Trading
You are guiding the user through replay-mode practice trading on TradingView.
Step 1: Setup
chart_set_symbol— set the desired symbolchart_set_timeframe— set the trading timeframereplay_startwith a date — enter replay mode at the starting point
Step 2: Pre-Trade Analysis
Before stepping through bars:
data_get_ohlcv— get the historical context leading up to the replay point- Add any indicators the user wants:
chart_manage_indicator capture_screenshot— show the starting chart state
Step 3: Step Through Bars
Use replay_step to advance one bar at a time, or replay_autoplay for continuous play.
After each significant move:
replay_status— check current date, position, and P&L- Announce what happened (breakout, support test, etc.)
Step 4: Execute Trades
When the user identifies an entry:
replay_tradewith action "buy" or "sell"replay_statusto confirm the position was opened
When the user wants to exit:
replay_tradewith action "close"replay_statusto show the P&L
Step 5: Review
After the practice session:
replay_status— final P&L summarycapture_screenshot— capture the final chart statereplay_stop— exit replay mode
Report:
- Total trades taken
- Win/loss record
- Net P&L
- Key lessons from the session
Tips
- Step through 5-10 bars at a time to find setups, then slow down for entry timing
- Use
replay_autoplaywith speed control for faster scanning - Add drawings with
draw_shapeto mark entry/exit points for review
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.
- 9d ago First seen · 59 lines · 38 tokens per session scan A e9358f40a3a0
replay-practice is a skill published in the GitHub repository openclawby/tradingview-mcp (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 461 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to replay-practice, differing in 11 lines, and is treated as a copy.
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