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-verify-receiptgit 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-verify-receipt)<a href="https://agentmods.dev/skills/vortx-ai/emem/emem-verify-receipt"><img src="https://agentmods.dev/badge/skills/vortx-ai/emem/emem-verify-receipt/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-verify-receipt"><img src="https://agentmods.dev/badge/skills/vortx-ai/emem/emem-verify-receipt.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 36 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 98 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 | $0.00087 | $0.01514 |
| Opus 5 | $0.00044 | $0.00757 |
| Sonnet 5 | $0.00017 | $0.00303 |
| Haiku 4.5 | $0.00009 | $0.00151 |
Grade A, and why
emem-verify-receipt 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.
allowed-tools: Bash(curl:*) Bash(python3:*) Bash(pip:*) Read Write 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-verify-receipt
This skill rebuilds the canonical preimage of an emem receipt
byte-for-byte, BLAKE3s it, and runs Ed25519 verification — all
locally. The math matches emem-attest::receipt_preimage_v1 (crates/emem-attest/src/lib.rs)
in the emem source; if your verification passes, the receipt was
signed by the responder pubkey and has not been tampered with.
When to invoke
- "Is this emem receipt authentic?"
- "Verify this fact_cid offline."
- "I cached an emem response from last year — can I prove it's real without calling the server?"
- The user pastes a JSON blob with
request_id,served_at,primitive,cells,fact_cids,signature,responder(orresponder_pubkey_b32) fields.
How to invoke
Quick one-shot via the bundled Python script
python3 .claude/skills/emem-verify-receipt/verify.py path/to/receipt.json
Or pipe a receipt directly:
curl -sf -X POST https://emem.dev/v1/recall \
-H 'content-type: application/json' \
-d '{"cell":"defi.zb493.xoso.zcb6a","bands":["weather.temperature_2m"]}' \
| jq '.receipt' \
| python3 .claude/skills/emem-verify-receipt/verify.py -
The script prints VALID and the BLAKE3 digest hex if the signature
checks out, or INVALID with the reason if not.
What the math does
Receipts carry preimage_version: 1. The preimage is domain-separated
and length-prefixed so no two different receipts can collide without a
BLAKE3 collision:
blake3( "emem.preimage.v1\0"
|| u32le(len("receipt")) || "receipt"
|| segment* )
Each scalar segment is tag || u32le(len) || bytes; a list segment is
tag || u32le(count) || (u32le(len) || bytes)*. Segments appear in this
fixed order, and optional ones are emitted only when present:
| tag | segment | when |
|---|---|---|
| 1 | request_id | always |
| 2 | served_at | always |
| 3 | scope | scoped reads only |
| 4 | as_of | bi-temporal reads only |
| 5 | edges | include:["edges"] only |
| 6 | manifest | blake3(cbor(source_versions)), when non-empty |
| 7 | primitive | always |
| 8 | cells | always (list) |
| 9 | fact_cids | always (list) |
| 10 | field | field tokens (raster/cube): blake3 of the (aoi_cid, derivation_cid) binding |
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 First seen · 146 lines · 87 tokens per session scan A fa5add2c6154
emem-verify-receipt is a skill published in the GitHub repository Vortx-AI/emem (56 stars, last pushed today), licensed Apache-2.0. It adds 87 tokens to every session and 1,514 once invoked, about $0.0004 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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