battlegrid-strategy-examples

battlegrid-strategy-examples is a skill for Claude Code, Codex from playbattlegrid/battlegrid-mcp. It costs 72 tokens per session (4,859 once invoked), scanned A, original, MIT.

A collection of checked examples for building trading strategies in Strategy Studio. It covers report sections, conditions, signal weights, routing rules, trade levels, and position management.

In plain words
What is it for?
Use it when designing or reviewing a strategy with custom sections, entry conditions, disqualifying rules, weighted signals, trade levels, or position-management rules.
Why use it?
It helps avoid incomplete or incorrectly structured strategies by showing compositions that are checked during the build process. It also points users to the platform's current vocabulary and column definitions.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when designing or reviewing a strategy with custom sections, entry conditions, disqualifying rules, weighted signals, trade levels, or position-management rules.

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Install with agentmods
npx agentmods add skills/playbattlegrid/battlegrid-mcp/battlegrid-strategy-examples
Install

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.

Any agent
npx skills add playbattlegrid/battlegrid-mcp --skill battlegrid-strategy-examples
Clone the repo
git clone --depth 1 https://github.com/playbattlegrid/battlegrid-mcp

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for battlegrid-strategy-examples

README.md
[![agentmods](https://agentmods.dev/badge/skills/playbattlegrid/battlegrid-mcp/battlegrid-strategy-examples/github.svg)](https://agentmods.dev/skills/playbattlegrid/battlegrid-mcp/battlegrid-strategy-examples)
Your own site
<a href="https://agentmods.dev/skills/playbattlegrid/battlegrid-mcp/battlegrid-strategy-examples"><img src="https://agentmods.dev/badge/skills/playbattlegrid/battlegrid-mcp/battlegrid-strategy-examples/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.

agentmods 80×15 button for battlegrid-strategy-examples

Your own site · 80×15
<a href="https://agentmods.dev/skills/playbattlegrid/battlegrid-mcp/battlegrid-strategy-examples"><img src="https://agentmods.dev/badge/skills/playbattlegrid/battlegrid-mcp/battlegrid-strategy-examples.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,859 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00072 $0.04859
Opus 5 $0.00036 $0.02429
Sonnet 5 $0.00014 $0.00972
Haiku 4.5 $0.00007 $0.00486

Measured today against content hash 6b7a882fedd4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

battlegrid-strategy-examples 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 today.

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.

skills/battlegrid-strategy-examples/SKILL.md · 280 lines

How it starts

The opening of the file, as written. The whole thing — 280 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Strategy Studio — full-power composition patterns

strategy-authoring owns the flow (evidence → locked spec → discover → compile → review → apply). This skill owns what to compose: a default build — a few platform sections, no conditions, untouched weights — wastes the studio. The playbooks below are compiled in CI, so their shapes are binding in the sense that matters — they are checked, not merely asserted. Loose tokens elsewhere in this file are not covered by that gate, and vocabulary moves with deploys, so discovery in the conversation stays the authority — prefer what list_strategy_vocabulary, get_strategy_column_contract, and get_strategy_signal_definition return over anything printed here, and read exact headers from a preview's conditionColumns before conditioning on them.

The full-power checklist

Before compiling a CREATE, every "no" here is a decision to state, not an omission:

  1. At least one custom section whose columns encode the thesis — not only platform modules.
  2. Conditions encode the entry logic: building blocks (verdict: null) + verdict carriers, and at least one required: true condition vetoing obvious disqualifiers before any billing or LLM call.
  3. Every signal meant to score is named in rules with a deliberate tier — unnamed signals keep server defaults (typically Off). Verify in the compiled scorecard, never assume.
  4. Gates (minAggregateScore, minRequiredCount, minAtrPct) are computed against the chosen weight budget, not guessed.
  5. Trade levels + position management match the setup's geometry and holding period.
  6. marketReadText states standing orders with {...} markers so live values render inline.

Header grammar (system-generated — never named by the author)

Transform Header Validated example
value <code> bbWidthPct, RVOL, rate
trajectory w4 <code>_t3…_t1, _now, _trend (rising/falling/flat) RSI14_now, RSI14_trend
distance dist_<code> (signed % from price) dist_SMA50
spread <base>_<operand>_spread mark_oracle_spread
aggregate wN <code>_mean<N> rate_mean24
rank <code>_rank_<hi|lo|far|near> — ordinal, lte N = top-N bbWidthPct_rank_lo
efficiency wN <code>_er (1 straight, ~0 chop) close_ltf_er
maxShare wN <code>_maxShare volBase_ltf_maxShare
classifyZone / classifyState <code>_zone / <code>_state RSI14_zone, ADX_state

Read the full file on GitHub · 280 lines

Files

What ships with it

3 files 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.

Changes

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.

  1. today Changed · +2 lines 6b7a882fedd4
  2. 5d ago Changed 316c9635219c
  3. 6d ago First seen · 278 lines · 72 tokens per session scan A c986b9dfbf1a

Subscribe to this mod's changes

battlegrid-strategy-examples is a skill published in the GitHub repository playbattlegrid/battlegrid-mcp (0 stars, last pushed today), licensed MIT. It adds 72 tokens to every session and 4,859 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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