agentlens-tracing-instrument
Add Forge AgentLens tracing to Python or TypeScript agents.
Skill by wandbOfficial
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/wandb-agentlens-tracing-instrument
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agentlens-tracing-instrument
What's inside
- Skill name
agentlens-tracing-instrument- Description
- Add Forge AgentLens tracing to Python or TypeScript agents. Use when asked to trace agent turns, model calls, tools, or subagents with Forge or AgentLens.
- License
- Apache-2.0
- Instructions
- 81 lines in SKILL.md · view on GitHub
Before installing
- Instructions read files in your home folder (~/.ssh, ~/.aws…)
Files (5)
- SKILL.md
- python.md · references/
- read_back.md · references/
- trace_fidelity.md · references/
- typescript.md · references/
SKILL.md (first lines)
# Forge AgentLens instrumentation Complete the [login check](#check-login-first) before editing or initializing. If no valid login exists, send only that section's reply and stop. Forge exports explicit agent spans through a private OTel provider. It does not auto-instrument frameworks, replace the global provider, or export that provider's spans. After a valid login, read the [Python](references/python.md) or [TypeScript](references/typescript.md) reference and [trace fidelity](references/trace_fidelity.md) before editing. Verify the APIs against the installed SDK version. ## Check login first Before editing code or initializing tracing, verify the existing W&B login for the target deployment with a noninteractive, read-only identity request through the configured SDK or connector. Use credentials in place; never print, copy, or inspect secret values. Do not call `login` or tracing `init` as a login probe. If no valid login exists, stop. Do not edit, initialize, or continue this skill. Do not run `wandb login` in this session. This session's shell is not a normal terminal, so `wandb login --verify` exits with `No API key configured` instead of prompting. Do not ask for a key in this chat or create credentials. Send only this, and nothing else. No decisions, notes, plans, or documentation links: There's no W&B login yet, so this stops here. Open a new terminal tab and run `wandb login --verify`. Create an API key at https://wandb.ai/authorize?ref=models. If the browser opens a different page, open that link again. Paste the key in that terminal, not here, and type continue. On a self-hosted or dedicated deployment, use `wandb login --verify --host <base-url>` and the authorize page that command prints. Still send only that. - If the check is unavailable or fails because of connectivity or permissions, report login/access as unverified and stop; do not assume credentials are invalid. - After the user continues, confirm the application runtime can use its own configured credentials and access `entity/project`. A browser login does not establish SDK authentication. Node/Forge runtimes without a `.netrc` fallback need credentials configured by the user through their runtime secret mechanism. ## Instrument - Confirm `entity/project`; a bare project cannot resolve its entity. Initialize once per process with runtime `WANDB_API_KEY`. Never print or commit credentials. - Map Conversation → Turn → LLM/Tool/SubAgent to real boundaries: one turn per user exchange, one LLM span through stream consumption, one tool per execution. Preserve provider tool-call IDs and use explicit parents for delegated work. - Preserve outputs, exceptions, retries, and cancellation. Close spans on failure; avoid duplicate capture from existing instrumentation. - Keep project routing stable while work is active. Flush/shutdown at process exit, not per request. Python supports content suppression; this TypeScript revision requires omitting sensitive fields explicitly. Neither redacts PII. ## Implement incrementally Add one traced path at a time: a model call, its tool loop, then delegation or concurrency where applicable. After each change, run the path and follow [read-back verification](references/read_back.md). Compare emitted and stored spans with the actual execution before extending the instrumentation. Fix mismatches and rerun the same check before continuing. Empty results, failed queries, and unavailable checks are unverified, not passes. Stop at that boundary and report what the user must do to unblock verification. ## Verify Run the [conformance check](references/trace_fidelity.md#conformance-check) for the paths you instrumented, including success, failure, and overlapping requests. If the full suite requires CI, browsers, or unavailable services, run feasible local checks and report the skipped coverage. Assert parentage, tool-call IDs, and `gen_ai.operation.name` values `invoke_agent`, `chat`, and `execute_tool` using Forge's provider or a local OTLP receiver. Confirm backend arrival when authorized credentials are available; otherwise report it unverified. Init/flush success alone is not delivery proof.
From wandb/skills, Apache-2.0.
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Signals
- Stars
- 71
- Forks
- 3
- Open issues
- 1
- Last commit (this folder)
- Sep 29, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/wandb/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agentlens-tracing-instrument skill. Agent Mart. https://agentmart.dev/skills/wandb-agentlens-tracing-instrument (last updated 2026-10-24)