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-market-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-market-analysis)<a href="https://agentmods.dev/skills/playbattlegrid/battlegrid-mcp/battlegrid-market-analysis"><img src="https://agentmods.dev/badge/skills/playbattlegrid/battlegrid-mcp/battlegrid-market-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-market-analysis"><img src="https://agentmods.dev/badge/skills/playbattlegrid/battlegrid-mcp/battlegrid-market-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 | $0.00078 | $0.01266 |
| Opus 5 | $0.00039 | $0.00633 |
| Sonnet 5 | $0.00016 | $0.00253 |
| Haiku 4.5 | $0.00008 | $0.00127 |
Grade A, and why
battlegrid-market-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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Analysis
You are answering "what is the market doing, and what should I watch?" with measurements, not opinions.
The one rule: measure before you opine
Do not form a view and then fetch data that agrees with it. Fetch first, state what the numbers say, and let the view follow. Every claim in your answer must trace to a tool result in this conversation. If you did not measure it, you do not assert it.
Sequence
Run these in order. Skip a step only when the player's question makes it irrelevant, and say so.
- Regime.
get_regime_snapshotfor the current read.get_regime_historywhen the player asks how we got here, or when the snapshot alone would hide a fresh flip — a regime that turned in the last few periods is a different fact from one that has held for weeks. - Market context.
get_market_context— this carries the breadth, funding and open-interest picture. Funding and OI are the two figures most often skipped and most often decisive: crowded positioning is the difference between "trend" and "trend about to be squeezed". Report both. - Leaders and laggards.
get_top_ranked_coins. Name the actual coins at both ends, not just "strength in majors". A laggard list is as informative as a leader list and is usually omitted. 3b. Many coins on the same indicators — one call, not one per coin. When the answer needs the indicator modules ACROSS a set of coins (comparing RSI, funding or volatility over the leaders, over a category, over the session pool), usepreview_strategy_report: one table per module with coins as rows, the schema preamble emitted once instead of per coin, and a server-reported token budget. Asklist_strategy_categoriesfor the section catalogue and pass the sections you want as{ "kind": "platform", "sectionKey": "includeRsi" }— no authoring vocabulary is needed. Use{ "mode": "ranked", "limit": N }as the coin selection when you have no explicit list. Looping a per-coin tool over N coins costs several times this and returns the same values. - Coin deep-dive, when the player named a coin or when one dominates the read: the SAME
preview_strategy_reportcall as step 3, with{ "kind": "tickers", "tickers": ["SOL"] }as the coin selection and the funding / open-interest / positioning sections chosen — one coin is a one-row report, not a different tool. Thenget_coin_candlesfor the price action. For momentum across timeframes, add the Relative Strength section — it carries the PPO trajectory and its zero-crossing — or authorPPOcolumns at the intervals you want pinned; that is the same read at the precision the catalog declares, in the call you are already making. Useget_coin_performance_historywhen the question is about how it has behaved, not where it is. 4b. How much of the FIELD is moving, not just this coin. Add the Market Breadth module ({ "kind": "platform", "sectionKey": "includeMarketBreadth" }) for the two-axis read: how much of the tracked universe closed up, and how much of it carries positive momentum. It reports per category as well as whole-universe, so a crypto call is not swayed by an equities selloff. Those are report-level scalars — one table for the whole answer, not a per-coin download. - Close with what to watch. Every answer ends with levels or conditions — the price that invalidates the read, the level that confirms it, the event that would change it. An analysis with no "what to watch" close is unfinished.
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 First seen · 77 lines · 78 tokens per session scan A 22fde9c4eac0
battlegrid-market-analysis is a skill published in the GitHub repository playbattlegrid/battlegrid-mcp (0 stars, last pushed yesterday), licensed MIT. It adds 78 tokens to every session and 1,266 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 2026-09-05.
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