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 journal-syncgit 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/journal-sync)<a href="https://agentmods.dev/skills/miha21222/tradingview-mcp/journal-sync"><img src="https://agentmods.dev/badge/skills/miha21222/tradingview-mcp/journal-sync/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/journal-sync"><img src="https://agentmods.dev/badge/skills/miha21222/tradingview-mcp/journal-sync.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 | $0.00077 | $0.01004 |
| Opus 5 | $0.00039 | $0.00502 |
| Sonnet 5 | $0.00015 | $0.00201 |
| Haiku 4.5 | $0.00008 | $0.00100 |
Grade A, and why
journal-sync 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.
How it starts
The opening of the file, as written. The whole thing — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Journal sync: FX Replay CSV → Notion
Import FX Replay CSV exports into a Notion trade journal using the documented mapping (empirically verified, not guessed). Parse + normalize the CSV with the journal tools here, then write through your own Notion MCP.
When to use
- A new
backtesting-analytics.csv(or similar FX Replay export) needs to land in the backtest journal. - Re-importing / de-duplicating a previously imported export.
- Checking whether an import is consistent (audit via the raw-code columns).
Tools
tv_journal_scan— list CSV files in the journal watch-folder and sniff them.tv_journal_parse— normalize one export into records + summary (side/day/session/ tags mapping, symbols resolved, R computed).- Your Notion MCP (
notion-create-pages,notion-update-data-source,notion-query-data-sources, ...) — the write side (external, out of scope here).
FX Replay CSV columns (genuine export)
id, dateStart, dateEnd, pair ("OANDA:EURUSD"), uPnL, rPnL, side, entryPrice, initialSL, maxTP, idealTP, amount, amountClosed, status, day, tags, avgClosePrice, avgRiskReward, maxRiskReward, exchangeRate, initialBalance, currentRealizedBalance.
avgRiskReward is the realized R-multiple (loss = exactly -1, win = rPnL/risk);
tv_journal_parse recomputes r the same way and cross-checks.
Import procedure (proven path)
tv_journal_scanto locate the file;tv_journal_parseto normalize + get the summary (win rate, expectancy, per-session/day/side).- Pre-create multi-select options: Notion's
notion-create-pagescannot create new multi-select options on the fly — firstnotion-update-data-sourcewithALTER COLUMN "<col>" SET MULTI_SELECT(...)listing every unique tag/pair value. - Create rows with
notion-create-pagesunder the backtest journaldata_source_id, resolving relations programmatically (pair→pair page, setup→ draft-setup page, side/day/session→the mapped pages). Do NOT use the Notion UI CSV importer (it can't resolve relations/multi-select). - Verify with
notion-query-data-sources; formulas/rollups are opaque via API (formulaResult://...), so confirm WR/expectancy by eye (browser get-text on the setup/trade page). - Keep the raw audit columns (
День (номер),Пара (FX Replay),userDefined:ID,Тэги (FX Replay)) for de-dup on re-import.
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.
- 9d ago First seen · 75 lines · 77 tokens per session scan A db5bb342e1c7
journal-sync is a skill published in the GitHub repository Miha21222/tradingview-mcp (0 stars, last pushed 13d ago), licensed MIT. It adds 77 tokens to every session and 1,004 once invoked, about $0.0004 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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