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 Vortx-AI/emem --skill emem-recall-polygongit clone --depth 1 https://github.com/Vortx-AI/ememWrote 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/vortx-ai/emem/emem-recall-polygon)<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.
<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>- NVIDIA SkillSpector warn
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.
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 | $0.00110 | $0.01516 |
| Opus 5.5 | $0.00044 | $0.00606 |
| Sonnet 5.5 | $0.00022 | $0.00303 |
| Haiku 4.5 | $0.00011 | $0.00152 |
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 \ 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.devonly, the service the plugin's MCP server connects to. Nothing they download is executed. The files underscripts/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_cellsdefaults to 64 and caps at 1024; out of range is a 400, not a silent clamp.budget_msis a soft materialisation budget. When it expires the answer is a partial 200 withconverged: falseand a typedpending[](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: falseand 16pendingentries (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; ifpendingdoes 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.
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.
- 11d ago Changed · +3 lines 3980621e7577
- 28d ago Changed · +2 lines 0b6239e72ca9
- 29d ago Changed · -38 lines · +11 tokens per session 4e822d373127
- 1mo ago Changed · -1 lines be73ac5ce5eb
- 1mo ago Changed · +11 lines 1ab824f3a3d6
- 1mo ago First seen · 140 lines · 99 tokens per session scan A d8b157e521a6
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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