Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
OpenClaw Logfire
Pydantic Logfire observability — OTEL GenAI traces, tool call spans, token metrics, distributed tracing
skill openclawclawhub Free
Pydantic Logfire observability — OTEL GenAI traces, tool call spans, token metrics, distributed tracing
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- CHANGELOG.md, CONTRIBUTING.md, README.md, SKILL.md, docs/worktracking/2025-12-04-logfire-pubsub-observability-plan.md, docs/worktracking/2026-02-12-openclaw-chief-of-staff-deployment.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.2
Provenance
- Publisher
- namabile
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
OpenClaw Logfire Plugin
Pydantic Logfire observability plugin for OpenClaw. Traces the full agent lifecycle with OTEL GenAI semantic conventions — tool calls, token usage, errors, and optional distributed tracing across services.
Install
openclaw plugins install @ultrathink-solutions/openclaw-logfire Set your Logfire write token: export LOGFIRE_TOKEN="your-token" Add to openclaw.json: { "plugins": { "entries": { "openclaw-logfire": { "enabled": true, "config": {} } } } } Restart OpenClaw. Traces appear in your Logfire dashboard.
What It Traces
Every agent invocation produces a span tree: invoke_agent chief-of-staff (root span) |-- execute_tool Read (file read) |-- execute_tool exec (shell command) |-- execute_tool Write (file write) Spans follow OTEL GenAI semantic conventions: gen_ai.agent.name, gen_ai.tool.name, gen_ai.usage.input_tokens, gen_ai.usage.output_tokens, etc.
Metrics
gen_ai.client.token.usage — token count histogram (input/output) gen_ai.client.operation.duration — agent invocation latency
Key Configuration
SettingDefaultDescriptionenvironmentdevelopmentDeployment environment labelserviceNameopenclaw-agentOTEL service nameproviderName—GenAI provider (e.g. anthropic)captureToolInputtrueRecord tool argumentsredactSecretstrueStrip API keys and JWTsdistributedTracing.enabledfalseW3C traceparent propagation
Security & Privacy
Secret redaction (on by default): Strips API keys, platform tokens, JWTs, and credentials from recorded tool arguments before export Tool output is not captured by default (captureToolOutput: false) Message content is not captured by default (captureMessageContent: false) Data destination: Traces are exported via OTLP HTTP to Pydantic Logfire (US or EU region). No other external endpoints are contacted. No local persistence: All data is streamed to Logfire; nothing is written to disk
External Endpoints
URLData Senthttps://logfire-api.pydantic.dev (US)OTLP traces + metricshttps://logfire-api-eu.pydantic.dev (EU)OTLP traces + metrics By using this plugin, trace and metric data is sent to Pydantic Logfire. Only install if you trust this destination.
Links
GitHub npm Logfire Blog: We Put OpenClaw Into Production
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
6 Docs
- SKILL.md
- CHANGELOG.md
- CONTRIBUTING.md
- docs/worktracking/2025-12-04-logfire-pubsub-observability-plan.md
- docs/worktracking/2026-02-12-openclaw-chief-of-staff-deployment.md
- README.md