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review-agent-observability

Reviews agent projects for tracing, metrics, structured logging and trace propagation.

Skill by diagrid-labs

IndexedMIT★ 13
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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/diagrid-labs-review-agent-observability

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

Reviews agent projects for tracing, metrics, structured logging and trace propagation. Use for "review agent observability" or "audit agent tracing".

Use cases: security, agent-building

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/review-agent-observability

What's inside

Skill name
review-agent-observability
Description
Reviews agent projects for tracing, metrics, structured logging and trace propagation. Use for "review agent observability" or "audit agent tracing".
License
MIT
Instructions
43 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • allowed-tools: must be a space-separated string

Files (2)

  • REFERENCE.md
  • SKILL.md

SKILL.md (first lines)

# Review Agents — Observability

## Overview

Scans agent projects for observability completeness: Dapr tracing Configuration present, sampling rate non-zero, structured logging in use, explicit log level, trace-id propagation on outbound tool calls, and README guidance for trace / metrics UIs. Python projects are also checked for app-level OpenTelemetry: `agent_observability=` for native `dapr-agents`, and the built-in OTLP export of the `diagrid` framework wrappers (endpoint, gRPC protocol, `serve()`, service name).

## Execution Order

You MUST follow these phases in strict order.

1. **Resolve scope** — Read [`../dapr-shared/review-scope-prompt.md`](../dapr-shared/review-scope-prompt.md) and follow it to set `scope_root`.
2. **Detect target** — Read [`../dapr-shared/review-detect-target-agent.md`](../dapr-shared/review-detect-target-agent.md). Continue for every flavor (`native`, wrapper and `mixed`); the Python checklist says which rules apply to which flavor, decided per agent file by its imports.
3. **Load checklist** — Based on `language`, read exactly one of:
   - `python` → [`../dapr-shared/review-agent-observability-python.md`](../dapr-shared/review-agent-observability-python.md)
   - `dotnet` → [`../dapr-shared/review-agent-observability-dotnet.md`](../dapr-shared/review-agent-observability-dotnet.md)
4. **Scan** — Apply every rule. `dapr.yaml` (including `env:` blocks), `resources/tracing.yaml`, agent and tool file contents, `.env` files (Python), `appsettings*.json` (.NET), and `README.md` are all potentially in scope.
5. **Report** — Format findings using [`../dapr-shared/review-report-format.md`](../dapr-shared/review-report-format.md).
6. **Show final message** — Emit the report from step 5 with a `## Next steps` block.

## Prerequisites

- Read access to the project directory.

## Allowed tools

`Read`, `Grep`, `Glob` only.

## Rules

- [Python rules](../dapr-shared/review-agent-observability-python.md) — `DAG-OBS-001` … `DAG-OBS-008`, `DAG-OBS-011` … `DAG-OBS-018` (`DAG-OBS-000` is retired and reserved)
- [.NET rules](../dapr-shared/review-agent-observability-dotnet.md) — `DAG-OBS-001`, `DAG-OBS-002`, `DAG-OBS-004`, `DAG-OBS-006`, `DAG-OBS-007`, `DAG-OBS-009`, `DAG-OBS-010`

## Show final message

The last thing you emit MUST be the report from step 5. `## Next steps` should suggest:

- Run `review-agent-tools`, `review-agent-memory`, and `review-agent-orchestration` if not yet run.
- Re-run this skill after fixing critical findings.
- If the project has a `docker-compose.observability.yaml`, run it (`docker compose -f docker-compose.observability.yaml up -d`) and verify traces appear in the trace UI; if it has none, point to the `create-agent-*` skills' observability stack instead of a command.

Do not add any text after the report.

From diagrid-labs/dapr-skills, MIT.

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Stars
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Forks
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Last commit (this folder)
Oct 17, 2026 (14 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
Website
diagrid.io
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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review-agent-observability skill. Agent Mart. https://agentmart.dev/skills/diagrid-labs-review-agent-observability (last updated 2026-10-24)