emem-locate-and-recall

emem-locate-and-recall is a skill for Claude Code from Vortx-AI/emem. It costs 127 tokens per session (2,028 once invoked), scanned A, original, Apache-2.0.

A location lookup and recall tool for Earth-observation measurements. It turns a place name into an emem cell64 location code and retrieves signed facts such as weather, vegetation, elevation, or soil data.

In plain words
What is it for?
Use it to answer measurement questions about named places, including temperature, vegetation index, elevation, and soil properties, or to request a location preview when you already have a cell64 code.
Why use it?
It removes the need to find the location code and query the measurement service separately, while flagging fallback place matches as less reliable.

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 answer measurement questions about named places, including temperature, vegetation index, elevation, and soil properties, or to request a location preview when you already have a cell64 code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vortx-ai/emem/emem-locate-and-recall
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-locate-and-recall
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-locate-and-recall

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/vortx-ai/emem/emem-locate-and-recall"><img src="https://agentmods.dev/badge/skills/vortx-ai/emem/emem-locate-and-recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 127 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,028 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 33
    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 45
    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 $0.00127 $0.02028
Opus 5.5 $0.00051 $0.00811
Sonnet 5.5 $0.00025 $0.00406
Haiku 4.5 $0.00013 $0.00203

Measured 28d ago against content hash 55e9c332d3b4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

emem-locate-and-recall 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 28d 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/locate \
plugins/emem/skills/emem-locate-and-recall/SKILL.md · 146 lines

How it starts

The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.

emem-locate-and-recall

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.

Two REST calls turn a place name into signed facts. Each fact comes back with its own emem:fact: token, so the number never has to travel without its citation.

When to invoke

The user asks about a measurable geospatial value at a named place:

  • "What's the current 2 m air temperature in Bengaluru?"
  • "Show me the NDVI in the Sundarbans."
  • "What's the elevation of Mount Kilimanjaro?"

If you already hold a cell64 (a string like defi.zb493.zezo.zcb35), skip step 1. For an extent rather than a point, use emem-recall-polygon. For a picture, GET https://emem.dev/v1/cells/<cell64>/scene.png.

Step 1: resolve the place

curl -sf -X POST https://emem.dev/v1/locate \
  -H 'content-type: application/json' \
  -d '{"q":"Bengaluru, India"}' \
  | jq '{cell64, place_label, via, disambiguation_required}'

place is accepted as a synonym of q, and {"lat":..,"lng":..} skips the geocoder. When disambiguation_required is true, or selected.is_high_confidence is false, read alternatives and ask the user which one they meant rather than citing rank 0. "Springfield" returns Missouri first and flags it; that is the case this exists for.

Step 2: recall the bands

CELL=defi.zb493.zezo.zcb35
curl -sf -X POST https://emem.dev/v1/recall \
  -H 'content-type: application/json' \
  -d "{\"cell\":\"$CELL\",\"bands\":[\"weather.temperature_2m\",\"indices.ndvi\"]}" \
  > recall.json

# The latest reading per band, with the token to cite it by.
jq -r '.current_by_band | to_entries[] | .value' recall.json | while read cid; do
  jq -c --arg c "$cid" '.facts[] | select(.fact_cid == $c)
        | {band, value_verbatim, unit, observed_at, memory_token}' recall.json
done

Read the full file on GitHub · 146 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. 28d ago Changed · +2 lines 55e9c332d3b4
  2. 29d ago Changed · +5 lines · +18 tokens per session 1b6e953a6af3
  3. 1mo ago Changed · -1 lines a8e8047c54bc
  4. 1mo ago Changed b94c2d63845d
  5. 1mo ago Changed · +23 lines fda32a7a885a
  6. 1mo ago First seen · 117 lines · 109 tokens per session scan A e104dad255fa

Subscribe to this mod's changes

emem-locate-and-recall is a skill published in the GitHub repository Vortx-AI/emem (76 stars, last pushed today), licensed Apache-2.0. It adds 127 tokens to every session and 2,028 once invoked, about $0.0005 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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