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-field-tokensgit 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-field-tokens)<a href="https://agentmods.dev/skills/vortx-ai/emem/emem-field-tokens"><img src="https://agentmods.dev/badge/skills/vortx-ai/emem/emem-field-tokens/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-field-tokens"><img src="https://agentmods.dev/badge/skills/vortx-ai/emem/emem-field-tokens.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
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 →
- high Supply Chain · line 71 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Data Exfiltration · line 57 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 84 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 102 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 112 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 129 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 | $0.00000 | $0.02030 |
| Opus 5 | $0.00000 | $0.01015 |
| Sonnet 5 | $0.00000 | $0.00406 |
| Haiku 4.5 | $0.00000 | $0.00203 |
Grade A, and why
emem-field-tokens 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 12d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
emem-field-tokens
A world model is a field over an area across time, not a set of points. This skill fetches that field from emem as a signed, re-derivable artifact:
POST /v1/band_raster— one native-resolution field over a bbox at one time, as a content-addressed grid plus anemem:raster:token. Four recipes share this shape: a raw satellite band (band_raster@1), a cloud-free median composite (s2_median_composite@1), static terrain (dem_raster@1), and a foundation-model embedding, 128-D per cell (embedding_raster@1).POST /v1/band_cube— the same field over several dates, a signed manifest over the raster slices, as anemem:cube:token (the field-over-time token).POST /v1/raster_bundle— several rasters as one re-derivable set, as anemem:rasterset:token;POST /v1/raster_bundle/resolvewalks it back to its members, which outlive the bundle and re-derive on their own.POST /v1/raster/resolvewith{"spot_check": true}— re-fetch the pixels and re-hash them for you, and cross-check sampled cells against the signed facts at those addresses. Use it to prove an artifact you were handed is the one its token names.POST /v1/cells_in_bbox— enumerate the cell64s in a bbox, paged, when you want the per-cell address list instead of the packed grid.
The receipt does not attest a value, it attests a derivation: this
responder computed the artifact whose blake3 is artifact_cid, from a pinned
Sentinel-2 scene, over a content-addressed area (aoi_cid) and time. Anyone
can re-fetch the bytes and re-hash them, or re-run the recipe from the pinned
scene, and get the same artifact.
When to invoke
The user wants an area's field of values, not a point reading:
- "Give me the 10 m NDVI grid over this farm, not per-cell scalars."
- "Get the red band (B04) as a raster over this bbox."
- "Build a time series of the near-infrared band over this AOI across the summer."
- "I need the actual pixels over this area that a stranger can re-derive."
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.
- 12d ago First seen · 150 lines · 0 tokens per session scan A 7c622584bab4
emem-field-tokens is a skill published in the GitHub repository Vortx-AI/emem (56 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 2,030 tokens. 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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