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 playbattlegrid/battlegrid-mcp --skill battlegrid-trade-analysisgit clone --depth 1 https://github.com/playbattlegrid/battlegrid-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/playbattlegrid/battlegrid-mcp/battlegrid-trade-analysis)<a href="https://agentmods.dev/skills/playbattlegrid/battlegrid-mcp/battlegrid-trade-analysis"><img src="https://agentmods.dev/badge/skills/playbattlegrid/battlegrid-mcp/battlegrid-trade-analysis/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/playbattlegrid/battlegrid-mcp/battlegrid-trade-analysis"><img src="https://agentmods.dev/badge/skills/playbattlegrid/battlegrid-mcp/battlegrid-trade-analysis.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 | $0.00086 | $0.02526 |
| Opus 5.5 | $0.00034 | $0.01010 |
| Sonnet 5.5 | $0.00017 | $0.00505 |
| Haiku 4.5 | $0.00009 | $0.00253 |
Grade A, and why
battlegrid-trade-analysis 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 7d 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 — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade Analysis
You are answering "how am I actually doing?" — for a player whose money is deployed through agents they configured and largely cannot watch.
1. The money map, with a reconciliation line
Start with where the money is, always, even when the question is narrower — a per-agent answer means nothing without the whole.
get_account_statefor the account total.get_agent_budgetfor each agent's capital at risk.
Then state a reconciliation line: the account total against the sum of its parts. If they agree, say they agree. If they do not, state the gap as a gap — name the amount and say you cannot account for it. Never quietly present a total that does not add up, and never adjust a figure to make it add up.
2. Per agent: "is it doing its job?"
Not "what were its returns" — whether it did the thing it was told to do.
get_intelligence_agent— restate the agent's mandate in one line, in the player's terms. This is the yardstick; without it "up 4%" means nothing.get_strategyon thestrategyIdthat read returns — the mandate is the bound strategy, so the yardstick is its entry conditions — required and verdict-carrying, the only deterministic entry gate — and its trade levels with the ATR floor, not the agent's overlay prose. ReadbindingStatetoo: atSYNCINGorORPHANEDthe agent evaluates a materialized copy at its ownstrategyRevision, and judging it against the strategy's current revision measures it by rules it is not running.get_agent_performanceandlist_agent_tradesnarrowed byagentId— judge against that mandate. ItssummaryandresultSummarycover the agent's whole scope on the player's account, not the page.get_agent_profilewhen the question names a period or a signal source — "how did Falcon do this week", "how are its radar trades doing". Passtimeframe(1D,7D,30DorLIFETIME) andsignalSource, and quote its KPIs as served — win rate, net P&L, best and worst trade, entry rate, average conviction and risk/reward, durations — recomputing none.get_agent_performancemeasures from the budget baseline, not over a period. A{ profile: null }result is UNDETERMINED for that agent: the read serves the player's own private agents only. The fixed Decision Quality window and its regime, hour, weekday and coin slices areget_agent_review_analytics's, not this read's.get_trade_outcome_by_decision(a trade row'sdecisionId) /get_trade_chartwhen a specific trade needs explaining: the outcome carries the fills, fees, slippage, leverage, duration and exit label. A measurable trade'stradeExcursionreads in R:mfeRandmaeR(the best and worst it reached),exitR, andgiveBackR(what it surrendered between its peak and the close).exitEfficiencyis a union — branch on itsstatebefore readingefficiencyPercent. All of them are gross of costs;netPnlis the after-fee figure.- The record around the trades:
list_agent_market_grid_decisions(an agent's arena decisions),get_signal_log(a trade's pipeline, its thesis asthesisReasoning),list_my_market_grid_entries/get_my_market_grid_entry(an arena entry's reasoning —agentIdfor one agent's entries, none for every entry),get_agent_activity_feed(what happened), andget_agent_explorerfor where the agent stands among public agents. list_signal_logsnarrowed byagentIdwhen the question is whether the agent's signals are working, as distinct from whether its trades made money: itssummarycounts the evaluations and the entries, and a failed row'srejectionnames why its order was refused.
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.
- 7d ago Changed · +1 lines ec0b543bc62f
- 14d ago Changed · +28 lines 140d847f24e9
- 15d ago Changed · +27 lines 66bd5d057f7b
- 24d ago Changed 3f927b4f9796
- 28d ago Changed f545b916dc2a
- 1mo ago Changed · +15 lines a1e666ca03bd
- 1mo ago Changed f5d817022ab9
- 1mo ago Changed · +5 lines f49482702f17
- 2mo ago First seen · 75 lines · 86 tokens per session scan A 32573a67e55d
battlegrid-trade-analysis is a skill published in the GitHub repository playbattlegrid/battlegrid-mcp (0 stars, last pushed today), licensed MIT. It adds 86 tokens to every session and 2,526 once invoked, about $0.0003 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 2026-09-05.
battlegrid-trade-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
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