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chutes-tee

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Atualizado11 de junho de 2026 às 18:58

Chutes.ai TEE and attestation workflow for Hermes users: fetch evidence envelopes, parse TDX quotes, parse NVIDIA GPU attestation, and explain what TEE does and does not guarantee. Triggers on: chutes tee, confidential compute, TEE attestation, fetch evidence, verify quote, GPU attestation, tdx quote, /chutes evidence.

Instalação

Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.

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Fonte

Veightor

Veightor/chutes-agent-toolkit

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Ocupações relacionadasSOC

Baseado na classificação ocupacional SOC

Desenvolvedores de softwareInformática e Matemática·SOC 15-1252

SKILL.md

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name	chutes-tee
description	Chutes.ai TEE and attestation workflow for Hermes users: fetch evidence envelopes, parse TDX quotes, parse NVIDIA GPU attestation, and explain what TEE does and does not guarantee. Triggers on: chutes tee, confidential compute, TEE attestation, fetch evidence, verify quote, GPU attestation, tdx quote, /chutes evidence.
version	0.2.0
author	Chutes Agent Toolkit
license	MIT
metadata	{"hermes":{"tags":["chutes","tee","attestation","confidential-compute","tdx","hermes"],"status":"shape-valid"}}

Chutes TEE for Hermes

Status: SHAPE-VALID, verified live 2026-04-13 against a real TEE chute. The current scripts parse and validate evidence shape; full cryptographic validation requires Intel DCAP tooling. Full skill lives at plugins/chutes-ai/skills/chutes-tee/.

When to use this skill

Use when a Hermes user wants to:

Confirm whether a Chutes model/chute is confidential-compute backed.
Fetch /chutes/{id}/evidence and inspect the evidence envelope.
Parse TDX v4 quotes or NVIDIA Hopper GPU attestation fields.
Understand the limits of TEE: it helps isolate runtime execution, but does not automatically prove model weights, prompts, or downstream systems are safe.

Hermes-facing workflow

Run from the repo root:

python plugins/chutes-ai/skills/chutes-tee/scripts/fetch_evidence.py --chute-id <id> --out /tmp/evidence.json
python plugins/chutes-ai/skills/chutes-tee/scripts/verify_quote.py --evidence /tmp/evidence.json
python plugins/chutes-ai/skills/chutes-tee/scripts/verify_gpu_attestation.py --evidence /tmp/evidence.json
python plugins/chutes-ai/skills/chutes-tee/scripts/attest_chute.py --chute-id <id>

For model selection, still use the live models endpoint and filter confidential_compute: true.

Deep references

plugins/chutes-ai/skills/chutes-tee/SKILL.md
plugins/chutes-ai/skills/chutes-tee/references/evidence-envelope.md
plugins/chutes-ai/skills/chutes-tee/references/tdx-quote-anatomy.md
plugins/chutes-ai/skills/chutes-tee/references/dcap-trust-root.md
plugins/chutes-ai/skills/chutes-tee/references/what-tee-does-not-protect.md

Safety rules

Do not claim cryptographic verification unless DCAP validation has actually run and passed.
Do not rely solely on a -TEE model-name suffix; use live metadata and evidence.
Keep evidence files out of commits unless intentionally adding sanitized fixtures.

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name	chutes-tee
description	Chutes.ai TEE and attestation workflow for Hermes users: fetch evidence envelopes, parse TDX quotes, parse NVIDIA GPU attestation, and explain what TEE does and does not guarantee. Triggers on: chutes tee, confidential compute, TEE attestation, fetch evidence, verify quote, GPU attestation, tdx quote, /chutes evidence.
version	0.2.0
author	Chutes Agent Toolkit
license	MIT
metadata	{"hermes":{"tags":["chutes","tee","attestation","confidential-compute","tdx","hermes"],"status":"shape-valid"}}

Chutes TEE for Hermes

Status: SHAPE-VALID, verified live 2026-04-13 against a real TEE chute. The current scripts parse and validate evidence shape; full cryptographic validation requires Intel DCAP tooling. Full skill lives at plugins/chutes-ai/skills/chutes-tee/.

When to use this skill

Use when a Hermes user wants to:

Confirm whether a Chutes model/chute is confidential-compute backed.
Fetch /chutes/{id}/evidence and inspect the evidence envelope.
Parse TDX v4 quotes or NVIDIA Hopper GPU attestation fields.
Understand the limits of TEE: it helps isolate runtime execution, but does not automatically prove model weights, prompts, or downstream systems are safe.

Hermes-facing workflow

Run from the repo root:

python plugins/chutes-ai/skills/chutes-tee/scripts/fetch_evidence.py --chute-id <id> --out /tmp/evidence.json
python plugins/chutes-ai/skills/chutes-tee/scripts/verify_quote.py --evidence /tmp/evidence.json
python plugins/chutes-ai/skills/chutes-tee/scripts/verify_gpu_attestation.py --evidence /tmp/evidence.json
python plugins/chutes-ai/skills/chutes-tee/scripts/attest_chute.py --chute-id <id>

For model selection, still use the live models endpoint and filter confidential_compute: true.

Deep references

plugins/chutes-ai/skills/chutes-tee/SKILL.md
plugins/chutes-ai/skills/chutes-tee/references/evidence-envelope.md
plugins/chutes-ai/skills/chutes-tee/references/tdx-quote-anatomy.md
plugins/chutes-ai/skills/chutes-tee/references/dcap-trust-root.md
plugins/chutes-ai/skills/chutes-tee/references/what-tee-does-not-protect.md

Safety rules

Do not claim cryptographic verification unless DCAP validation has actually run and passed.
Do not rely solely on a -TEE model-name suffix; use live metadata and evidence.
Keep evidence files out of commits unless intentionally adding sanitized fixtures.