一键在 Manus 中运行任何 Skill

$pwd:

telemetry-privacy-review

Name: Telemetry Privacy Review
Author: Mesh-LLM

// Use this skill when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation.

在 Manus 中运行

$ git log --oneline --stat

stars:1,083

forks:134

updated:2026年5月7日 01:26

SKILL.md

readonly

name	telemetry-privacy-review
description	Use this skill when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation.
metadata	{"short-description":"Review mesh-llm telemetry privacy"}

telemetry-privacy-review

Use this skill before changing mesh-llm OTLP metrics, exporter activation, or telemetry attribute names.

Review Contract

Keep telemetry metrics-only. Do not export prompts, completions, logs, traces, hostnames, mesh gossip, relay messages, raw node IDs, raw GPU stable IDs, endpoint URLs, local absolute paths, or prompt hashes.
Keep egress explicit. There must be no hard-coded collector. Generic OTel env endpoints may only be consumed after telemetry.enabled = true; mesh config endpoints are explicit operator configuration.
Treat hashed IDs as stable pseudonymous identifiers, not anonymous data.
Keep request-path telemetry non-blocking and bounded.
Keep model labels sanitized with the runtime telemetry model-label helper.
Prefer bounded enums, buckets, counts, and hashes over high-cardinality raw values.

Required Updates

Update TELEMETRY_ATTRIBUTE_ALLOWLIST in crates/mesh-llm/src/runtime/survey.rs for every new exported attribute.
Update docs/plugins/telemetry.md with the metric or attribute inventory and privacy handling.
Add focused tests for private-path, raw-ID, endpoint-URL, prompt, and completion exclusion when the change touches those surfaces.

Validation

Run the narrowest relevant checks for the touched area. For telemetry runtime changes, start with:

cargo test -p mesh-llm runtime::survey::tests --lib
cargo test -p mesh-llm telemetry_config --lib

If routing telemetry changed, also run the focused mesh routing telemetry test:

cargo test -p mesh-llm routing_telemetry_sink_receives_request_pressure_and_attempt_events --lib

related-skills.json

同仓库

skippy-bench.md

from "Mesh-LLM/mesh-llm"

Use this skill when running benchmark orchestration, local single-stage or split benchmarks, benchmark report flow, or performance-oriented skippy runtime checks.

2026-05-271.1k

skippy-correctness.md

from "Mesh-LLM/mesh-llm"

Use this skill when validating skippy staged execution against full-model execution, adding model families, changing split boundaries, testing activation wire dtypes, or diagnosing mismatch behavior.

2026-05-271.1k

skippy-model-package.md

from "Mesh-LLM/mesh-llm"

Use this skill when inspecting GGUF models, planning layer ranges, generating or validating skippy package artifacts, fake packages for direct GGUFs, materialized stage cache behavior, or GGUF writer integration.

2026-05-271.1k

skippy-server.md

from "Mesh-LLM/mesh-llm"

Use this skill when running, configuring, debugging, or embedding skippy-server, binary stage transport, OpenAI frontend integration, activation wire dtype settings, stage configs, lifecycle status, or nonblocking telemetry.

2026-05-271.1k

kv-tool-loop-stability.md

from "Mesh-LLM/mesh-llm"

Use this skill when certifying mesh-llm KV/cache stability under repeated OpenAI tool-call loops, same-prefix cache reuse, suffix-prefill limits, or native Skippy slot/decode/eviction failures.

2026-05-261.1k

hf-layer-package-jobs.md

from "Mesh-LLM/mesh-llm"

Use when changing mesh-llm automation or CLI flows that discover Hugging Face GGUF models, plan CPU Hugging Face Jobs for layer-package splitting, estimate max cost, or publish skippy layer packages/catalog entries.

2026-05-081.1k

package.json

"author": "Mesh-LLM"

"repository": "Mesh-LLM/mesh-llm"

打开 GitHub 仓库查看创作者相关仓库

$ install --global

$ download --local

在 Manus 中运行

$ useful --forSOC

信息安全分析师计算机与数学类职业15-1212L4

name	telemetry-privacy-review
description	Use this skill when adding, renaming, removing, or reviewing mesh-llm OTLP metrics, telemetry attributes, metrics exporter settings, or telemetry documentation.
metadata	{"short-description":"Review mesh-llm telemetry privacy"}

telemetry-privacy-review

Use this skill before changing mesh-llm OTLP metrics, exporter activation, or telemetry attribute names.

Review Contract

Keep telemetry metrics-only. Do not export prompts, completions, logs, traces, hostnames, mesh gossip, relay messages, raw node IDs, raw GPU stable IDs, endpoint URLs, local absolute paths, or prompt hashes.
Keep egress explicit. There must be no hard-coded collector. Generic OTel env endpoints may only be consumed after telemetry.enabled = true; mesh config endpoints are explicit operator configuration.
Treat hashed IDs as stable pseudonymous identifiers, not anonymous data.
Keep request-path telemetry non-blocking and bounded.
Keep model labels sanitized with the runtime telemetry model-label helper.
Prefer bounded enums, buckets, counts, and hashes over high-cardinality raw values.

Required Updates

Update TELEMETRY_ATTRIBUTE_ALLOWLIST in crates/mesh-llm/src/runtime/survey.rs for every new exported attribute.
Update docs/plugins/telemetry.md with the metric or attribute inventory and privacy handling.
Add focused tests for private-path, raw-ID, endpoint-URL, prompt, and completion exclusion when the change touches those surfaces.

Validation

Run the narrowest relevant checks for the touched area. For telemetry runtime changes, start with:

cargo test -p mesh-llm runtime::survey::tests --lib
cargo test -p mesh-llm telemetry_config --lib

If routing telemetry changed, also run the focused mesh routing telemetry test:

cargo test -p mesh-llm routing_telemetry_sink_receives_request_pressure_and_attempt_events --lib

telemetry-privacy-review

telemetry-privacy-review

Review Contract

Required Updates

Validation

同仓库更多 Skills

同仓库更多 Skills

telemetry-privacy-review

Review Contract

Required Updates

Validation