emem-recall-polygon

emem-recall-polygon is a skill for Claude Code from Vortx-AI/emem. It costs 110 tokens per session (1,516 once invoked), scanned A, original, Apache-2.0.

A tool for retrieving Earth-observation facts across a user-defined map region. It accepts GeoJSON or a closed list of longitude-and-latitude points.

In plain words
What is it for?
Use it to recall values such as NDVI, precipitation, or elevation for every sampled cell inside a polygon, with a receipt for each cell.
Why use it?
It answers regional questions that a single map point cannot, such as conditions across a watershed or administrative area.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the emem plugin — 19 skills shipped together

Good fit Use it to recall values such as NDVI, precipitation, or elevation for every sampled cell inside a polygon, with a receipt for each cell.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vortx-ai/emem/emem-recall-polygon
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 Vortx-AI/emem --skill emem-recall-polygon
Clone the repo
git clone --depth 1 https://github.com/Vortx-AI/emem

Made for: Claude Code.

Or install emem, the plugin that ships this one along with the rest of its 19 skills.

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 emem-recall-polygon

README.md
[![agentmods](https://agentmods.dev/badge/skills/vortx-ai/emem/emem-recall-polygon/github.svg)](https://agentmods.dev/skills/vortx-ai/emem/emem-recall-polygon)
Your own site
<a href="https://agentmods.dev/skills/vortx-ai/emem/emem-recall-polygon"><img src="https://agentmods.dev/badge/skills/vortx-ai/emem/emem-recall-polygon/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 emem-recall-polygon

Your own site · 80×15
<a href="https://agentmods.dev/skills/vortx-ai/emem/emem-recall-polygon"><img src="https://agentmods.dev/badge/skills/vortx-ai/emem/emem-recall-polygon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,516 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 35
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 69
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
How audits are shown
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 $0.00110 $0.01516
Opus 5.5 $0.00044 $0.00606
Sonnet 5.5 $0.00022 $0.00303
Haiku 4.5 $0.00011 $0.00152

Measured 11d ago against content hash 3980621e7577, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

emem-recall-polygon scanned grade A with 1 finding 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 11d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sf -X POST https://emem.dev/v1/recall_polygon \
plugins/emem/skills/emem-recall-polygon/SKILL.md · 117 lines

How it starts

The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.

emem-recall-polygon

Network use. The commands in this skill send and receive JSON (and, where a step says so, an image or a raster file) to https://emem.dev only, the service the plugin's MCP server connects to. Nothing they download is executed. The files under scripts/ read local files and make no network calls.

POST /v1/recall_polygon samples cells inside an area, recalls the requested bands at each, and returns them per cell with per-cell receipts. It is locate, then a sample of the area's cells, then recall_many, collapsed into one call.

When to invoke

  • "What's the average NDVI inside this watershed?"
  • "Show me precipitation across the area bounded by ..."
  • The user pastes a bbox or a GeoJSON polygon.

For one point use emem-locate-and-recall. For the full-resolution pixel grid over an area use emem-field-tokens.

How to invoke

Give the area in one of three ways: place (free text, geocoded), polygon_bbox (an object with named corners; an array is refused, because bbox array orders disagree between conventions), or polygon_geojson (a GeoJSON Polygon, MultiPolygon or Feature). A polygon on its own sets the area: its bounds become the box and its boundary masks the sample. geojson and geometry_geojson are aliases of polygon_geojson. Beside a bbox, the polygon only masks the sample.

curl -sf -X POST https://emem.dev/v1/recall_polygon \
  -H 'content-type: application/json' \
  -d '{"polygon_bbox":{"min_lat":12.95,"max_lat":13.05,"min_lng":77.55,"max_lng":77.65},
       "bands":["copdem30m.elevation_mean"],
       "max_cells":16, "budget_ms":20000}' \
  > poly.json
jq '{cells_sampled, facts_returned, area_km2, converged, coverage_fraction,
     pending: (.pending | length)}' poly.json
  • max_cells defaults to 64 and caps at 1024; out of range is a 400, not a silent clamp.
  • budget_ms is a soft materialisation budget. When it expires the answer is a partial 200 with converged: false and a typed pending[] (each entry says why and what to do). Pending fetches are detached, not aborted, so the identical request retried returns strictly more. Pending entries are unsigned; they are not signed absences.
  • Recorded on 2026-09-28: this exact call returned 200 with cells_sampled: 16, facts_returned: 0, converged: false and 16 pending entries (state: "materializing"), and nine identical retries over 30 minutes stayed at zero while the responder's fetch path was saturated. Retry a few times with a pause; if pending does not shrink, tell the user the upstream fetch is stalled rather than looping, and never report the empty answer as "no data here".
  • A request with many cold cells and several bands can still pass the responder's 40 s transport budget and return compute_timeout. Narrow it: fewer bands, fewer cells, or retry once the first pass has warmed the cache.

Read the full file on GitHub · 117 lines

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. 11d ago Changed · +3 lines 3980621e7577
  2. 28d ago Changed · +2 lines 0b6239e72ca9
  3. 29d ago Changed · -38 lines · +11 tokens per session 4e822d373127
  4. 1mo ago Changed · -1 lines be73ac5ce5eb
  5. 1mo ago Changed · +11 lines 1ab824f3a3d6
  6. 1mo ago First seen · 140 lines · 99 tokens per session scan A d8b157e521a6

Subscribe to this mod's changes

emem-recall-polygon is a skill published in the GitHub repository Vortx-AI/emem (76 stars, last pushed today), licensed Apache-2.0. It adds 110 tokens to every session and 1,516 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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