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-locate-and-recallgit 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-locate-and-recall)<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.
<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>- 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 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.
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 | $0.00109 | $0.01345 |
| Opus 5 | $0.00055 | $0.00673 |
| Sonnet 5 | $0.00022 | $0.00269 |
| Haiku 4.5 | $0.00011 | $0.00135 |
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 13d 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.
allowed-tools: Bash(curl:*) Bash(jq:*) Bash(python3:*) Read 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-locate-and-recall
This skill turns a place name into signed Earth-observation facts in two REST calls.
When to invoke
The user asks about a measurable geospatial fact at a named place:
- "What's the current 2 m air temperature in Bengaluru?"
- "Show me the NDVI in the Sundarbans."
- "How does the soil pH look in central Iowa?"
- "What's the elevation of Mount Kilimanjaro?"
If the user has a cell64 already (a string like
defi.zb493.xoso.zcb6a), skip the locate step and go straight to
/v1/recall. If they want a thumbnail (visual preview) instead of
numeric facts, use GET /v1/cells/{cell64}/scene.png directly.
How to invoke
The endpoint is https://emem.dev. Reads are public.
Step 1 — resolve the place name
curl -sf -X POST https://emem.dev/v1/locate \
-H 'content-type: application/json' \
-d '{"q":"Bengaluru, India"}' | jq '.cell64, .place_label, .via'
via reports how the name was resolved (embedded, cache,
photon, nominatim, fallback). Treat via=fallback as
low-confidence and ask the user to clarify.
Step 2 — recall the band(s)
curl -sf -X POST https://emem.dev/v1/recall \
-H 'content-type: application/json' \
-d '{"cell":"<CELL64_FROM_STEP_1>",
"bands":["weather.temperature_2m","indices.ndvi"]}' \
| jq '.facts[] | {band, value, unit, signed_at}, .receipt.fact_cids[]'
The response carries .facts[] (with value, unit, signed_at,
signer_pubkey_b32) and .receipt (Ed25519 signature, fact_cids,
schema_cid, registry_cid). The fact_cids[i] is a durable handle —
re-fetching that CID from any responder in any year returns the same
bytes.
Picking bands
The full band list is at https://emem.dev/v1/bands (124 auto-materializable bands, 1792
total dims). Common picks:
- Weather:
weather.temperature_2m,weather.precipitation_mm,weather.relative_humidity_2m,weather.wind_speed_10m - Air quality:
cams.pm25,cams.no2,cams.aod_550 - Climate:
era5.t2m,era5.precip(1940→present hourly) - Vegetation:
indices.ndvi,indices.evi,modis.ndvi_mean - Elevation:
copdem30m.elevation_mean,gmrt.topobathy_mean - Land cover:
esa_worldcover.lc_2021 - Embeddings:
geotessera(128-D, default 2024 vintage); the responder also shipsgeotessera.{2017..2024}for per-year andgeotessera.multi_year(1024-D = 8×128 stacked).
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.
- 13d ago First seen · 117 lines · 109 tokens per session scan A e104dad255fa
emem-locate-and-recall is a skill published in the GitHub repository Vortx-AI/emem (56 stars, last pushed yesterday), licensed Apache-2.0. It adds 109 tokens to every session and 1,345 once invoked, about $0.0005 per session on Opus 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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