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-radar-deploymentgit 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-radar-deployment)<a href="https://agentmods.dev/skills/playbattlegrid/battlegrid-mcp/battlegrid-radar-deployment"><img src="https://agentmods.dev/badge/skills/playbattlegrid/battlegrid-mcp/battlegrid-radar-deployment/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-radar-deployment"><img src="https://agentmods.dev/badge/skills/playbattlegrid/battlegrid-mcp/battlegrid-radar-deployment.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 | $0.00122 | $0.02601 |
| Opus 5 | $0.00061 | $0.01300 |
| Sonnet 5 | $0.00024 | $0.00520 |
| Haiku 4.5 | $0.00012 | $0.00260 |
Grade A, and why
battlegrid-radar-deployment 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Radar & Deployment
You are handing an agent standing authority. A Radar policy fires real trades on confirmed regime flips with no further human action; a deployment policy enters real sessions the same way. Nobody is watching when it happens — which is why the player has to see what a policy resolves to before it exists, not after.
Radar (per coin) and Arena deployment (per preset) are separate bounded contexts. They share no slot shape, no condition union and no resolution type. Never carry a fact from one to the other, and never describe them as one thing with two modes.
The five failures this flow exists to prevent
- A write with no fresh preview. Cue: any
upsert_radar_deploymentorupsert_deployment_policy. The preview is the only place the player sees which agent actually goes on duty and why. → steps 2–3. - A blind CAS retry. Cue: a CONFLICT on a write. The revision moved because the stored policy changed. Bumping the number and retrying overwrites an edit you never read. → step 3.
- Previewing one thing and writing another. Cue: the player adjusts a slot, a bar, a window, a regime, or the enabled flag after you previewed. A preview vouches only for the parameters it was given. → step 2.
- A replacement that silently drops slots. Cue: any upsert on a coin or preset that already
has a policy.
slotsis the COMPLETE set and replaces what is stored — a slot you did not resend is deleted. → step 3. - Answering "why isn't it firing?" by paging the journal. Cue: any question about why a
deployed agent has been quiet — "is it working?", "it hasn't traded all day", "what's blocking
it?".
get_radar_activity_summarynow answers the whole question in one small call — which cause recurs, how far the score sits from firing, and what just happened — so paging the journal for it tallies an aggregate the server already computed and re-derives a proximity reading it already serves. The journal read is for ONE occurrence, or for more rows than the summary's ten. → step 5.
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 · 181 lines · 122 tokens per session scan A d2a012b154e1
battlegrid-radar-deployment is a skill published in the GitHub repository playbattlegrid/battlegrid-mcp (0 stars, last pushed yesterday), licensed MIT. It adds 122 tokens to every session and 2,601 once invoked, about $0.0006 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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