Archestra Dev Observability
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
A skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
$ npx skills add agentfront/frontmcp --skill frontmcp-observability -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentfront/frontmcp frontmcp-observability --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentfront/frontmcp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/libs/skills/catalog/frontmcp-observability .claude/skills/frontmcp-observability && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "frontmcp-observability" agent skill from https://github.com/agentfront/frontmcp/tree/main/libs/skills/catalog/frontmcp-observability into .claude/skills/frontmcp-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontmcp-observability", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/agentfront/frontmcp/tree/main/libs/skills/catalog/frontmcp-observabilityType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add agentfront/frontmcp --skill frontmcp-observability -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentfront/frontmcp frontmcp-observability --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentfront/frontmcp.git skills-src && mkdir -p .agents/skills && cp -r skills-src/libs/skills/catalog/frontmcp-observability .agents/skills/frontmcp-observability && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "frontmcp-observability" agent skill from https://github.com/agentfront/frontmcp/tree/main/libs/skills/catalog/frontmcp-observability into .agents/skills/frontmcp-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontmcp-observability", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentfront/frontmcp --skill frontmcp-observability -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentfront/frontmcp frontmcp-observability --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentfront/frontmcp.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/libs/skills/catalog/frontmcp-observability .cursor/skills/frontmcp-observability && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "frontmcp-observability" agent skill from https://github.com/agentfront/frontmcp/tree/main/libs/skills/catalog/frontmcp-observability into .cursor/skills/frontmcp-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontmcp-observability", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/agentfront/frontmcp.git --path libs/skills/catalog/frontmcp-observability--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentfront/frontmcp --skill frontmcp-observability -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentfront/frontmcp frontmcp-observability --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentfront/frontmcp.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/libs/skills/catalog/frontmcp-observability .gemini/skills/frontmcp-observability && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "frontmcp-observability" agent skill from https://github.com/agentfront/frontmcp/tree/main/libs/skills/catalog/frontmcp-observability into .gemini/skills/frontmcp-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontmcp-observability", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install agentfront/frontmcp frontmcp-observabilityInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add agentfront/frontmcp --skill frontmcp-observability -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentfront/frontmcp.git skills-src && mkdir -p .github/skills && cp -r skills-src/libs/skills/catalog/frontmcp-observability .github/skills/frontmcp-observability && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "frontmcp-observability" agent skill from https://github.com/agentfront/frontmcp/tree/main/libs/skills/catalog/frontmcp-observability into .github/skills/frontmcp-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontmcp-observability", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add agentfront/frontmcp --skill frontmcp-observability -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentfront/frontmcp frontmcp-observability --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentfront/frontmcp.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/libs/skills/catalog/frontmcp-observability .opencode/skills/frontmcp-observability && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "frontmcp-observability" agent skill from https://github.com/agentfront/frontmcp/tree/main/libs/skills/catalog/frontmcp-observability into .opencode/skills/frontmcp-observability/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontmcp-observability", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
frontmcp-observabilityA skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
Frontmcp Observability is an agent skill from agentfront/frontmcp. Use when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server. Covers zero-config OpenTelemetry distributed tracing across all flows; the this.telemetry API for custom spans, events, and attributes in tools, plugins, agents, and skills; structured JSON logging with trace correlation and configurable sinks (Winston, Pino, stdout); the off-by-default /metrics endpoint (process and framework metrics, Prometheus-compatible); vendor integrations (Coralogix, Datadog, Logz.io, Grafana Cloud…
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 26 other files, including reference files (for example `examples/metrics-endpoint/enable-metrics-endpoint.md`, `examples/structured-logging/stdout-logging.md` and `examples/structured-logging/winston-integration.md`).
It sits in DevOps & Cloud, covering Observability and Monitoring and alerting. It works with OpenTelemetry, Datadog, Grafana and Prometheus. The repository describes itself as: TypeScript-first framework for the Model Context Protocol (MCP). You write clean, typed code; FrontMCP handles the protocol, transport, DI, session/auth, and execution flow. The licence is Apache-2.0.
3 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 8f59ba8. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npmFrom the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
docs.agentfront.devFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Frontmcp Observability loads about 4.6k tokens when it runs, and up to ~18k if it reads all its reference files. Until then it costs about 197 tokens; SKILL.md has 1,132 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from agentfront/frontmcp at commit 8f59ba8, republished under its Apache-2.0 licence (© agentfront). 1,132 words, ~4,594 tokens.
.claude/skills/frontmcp-observability/SKILL.md (or your agent's skills folder). This skill also uses 19 other files; get the full folder from GitHub.Router for adding observability to FrontMCP servers. Covers distributed tracing (OpenTelemetry), structured JSON logging, per-request log collection, the this.telemetry developer API, and vendor integrations.
this.telemetry to create custom spans in tools, plugins, or agentsfrontmcp-production-readiness)frontmcp-config)frontmcp-setup)Decision: Use this skill when you need to observe, trace, or log your server. Start with
tracing-setupfor auto-instrumentation, addstructured-loggingfor production logs, and usetelemetry-apifor custom spans in your code.
frontmcp-setup)npm install @frontmcp/observability| I want to... | Reference |
|---|---|
| Enable auto-tracing for all flows | references/tracing-setup.md |
| Add structured JSON logging with trace correlation | references/structured-logging.md |
| Create custom spans in tools/plugins | references/telemetry-api.md |
| Connect Coralogix, Datadog, Logz.io, Grafana | references/vendor-integrations.md |
| Test that spans and logs are correct | references/testing-observability.md |
Expose Prometheus /metrics endpoint | references/metrics-endpoint.md |
The simplest way — one config line:
@FrontMcp({
observability: true,
})This enables auto-tracing for all SDK flows. Add structured logging:
@FrontMcp({
observability: {
tracing: true,
logging: { sinks: [{ type: 'stdout' }] },
requestLogs: true,
},
})Follow the scenario routing table above to find the right reference for your use case.
| Scenario | Reference | Description |
|---|---|---|
| Enable OpenTelemetry tracing | references/tracing-setup.md | Zero-config auto-instrumentation, setupOTel(), span hierarchy |
| Add JSON logs with trace correlation | references/structured-logging.md | Sinks (stdout, console, OTLP, winston, pino), redaction, log format |
| Custom spans in tools/plugins | references/telemetry-api.md | this.telemetry.startSpan(), withSpan(), addEvent(), setAttributes() |
| Connect to monitoring platforms | references/vendor-integrations.md | Coralogix, Datadog, Logz.io, Grafana — OTLP and direct |
| Test spans and log entries | references/testing-observability.md | createTestTracer(), assertSpanExists(), integration test patterns |
Expose Prometheus /metrics endpoint | references/metrics-endpoint.md | Off-by-default Prometheus scrape endpoint with process + framework counters |
| Pattern | Correct | Incorrect | Why |
|---|---|---|---|
| Enable observability | observability: true in @FrontMcp config | Import and install ObservabilityPlugin manually | Config-driven is the standard pattern since v1.0 |
| Custom spans | this.telemetry.withSpan('op', fn) | trace.getTracer().startSpan() directly | this.telemetry auto-inherits trace context |
| Log correlation | this.logger.info('msg', { key: val }) | console.log('msg') | SDK logger flows through StructuredLogTransport with trace_id |
| Session ID | Use mcp.session.id attribute (hashed) | Log the real session ID | Privacy: the hash is sufficient for correlation |
| Vendor integration | Use { type: 'otlp', endpoint } sink | Build vendor-specific HTTP clients | OTLP is the universal standard |
| Category | Flows | Attributes |
|---|---|---|
| HTTP requests | traceRequest, auth, route, finalize | http.request.method, url.path |
| Tool calls | parseInput → findTool → execute → finalize | mcp.component.type=tool, enduser.id |
| Resource reads | parseInput → findResource → execute | mcp.component.type=resource, mcp.resource.uri |
| Prompts | parseInput → findPrompt → execute | mcp.component.type=prompt |
| Agents | parseInput → findAgent → execute (nested tool calls) | mcp.component.type=agent |
| Auth | verify, session verify, OAuth flows | frontmcp.auth.mode, frontmcp.auth.result |
| Transport | SSE, Streamable HTTP, Stateless HTTP | frontmcp.transport.type |
| Skills | search, load, HTTP endpoints | frontmcp.flow.name |
@frontmcp/observability installedobservability field added to @FrontMcp configsetupOTel() or external SDK); the startup warning about a missing provider appears only when none is registeredtrace_id and span_idthis.telemetry is available in tool execution contexts, and @frontmcp/observability is imported so it type-checksERROR statuscreateTestTracer()CallbackSink| Problem | Cause | Solution |
|---|---|---|
this.telemetry is undefined in a tool | observability not enabled on the parent @FrontMcp config | Set observability: true (or a config object) in the @FrontMcp decorator; see tracing-setup |
Property 'telemetry' does not exist (TS2339) | @frontmcp/observability is not part of the compilation | Add import type {} from '@frontmcp/observability' where you use it (or once in the server entry); see telemetry-api |
Spans appear without trace_id in logs | Logger not connected to StructuredLogTransport | Use this.logger, not console; see structured-logging |
| OTLP exporter silently drops spans | Endpoint URL points at the UI, not the OTLP collector | Use the OTLP HTTP/gRPC ingest endpoint exposed by your vendor (Datadog, Coralogix, Logz, etc.); see vendor-integrations |
| Real session ID appears in span attributes | A custom span attribute writes session.id directly | Use the SDK-provided mcp.session.id (already hashed); never log the raw session token |
| Tests randomly fail with leftover spans | Exporter retained between tests | Reset the in-memory exporter in afterEach; see testing-observability |
| OTel auto-instrumentation double-traces requests | Both setupOTel() AND a vendor agent attached to the process | Pick one: either FrontMCP-managed OTel OR the vendor agent — not both |
Each reference has matching examples under examples/<reference>/:
tracing-setup| Example | Level | Description |
|---|---|---|
basic-tracing | Basic | Enable auto-tracing and see spans printed to your terminal. |
production-tracing | Intermediate | Full production observability — traces to OTLP, structured logs to stdout, per-request log collection. |
structured-logging| Example | Level | Description |
|---|---|---|
stdout-logging | Basic | Enable NDJSON structured logging to stdout with automatic trace correlation and field redaction. |
winston-integration | Intermediate | Forward FrontMCP structured log entries to your existing winston logger. Each entry includes trace_id and span_id as metadata. |
telemetry-api| Example | Level | Description |
|---|---|---|
tool-custom-spans | Basic | Create child spans, events, and attributes inside a tool's execute method using this.telemetry. |
plugin-telemetry | Intermediate | Add telemetry events from a custom plugin's hooks. Events appear on the tool execution span, giving you visibility into plugin behavior within the trace. |
agent-nested-tracing | Advanced | Trace an agent's execution lifecycle including its nested tool calls. Every span shares the same trace ID. |
vendor-integrations| Example | Level | Description |
|---|---|---|
coralogix-setup | Intermediate | Send both traces and structured logs to Coralogix. Logs include trace_id so Coralogix links them to traces automatically. |
testing-observability| Example | Level | Description |
|---|---|---|
test-custom-spans | Basic | Verify that your tool creates the expected child spans with correct attributes. |
test-log-correlation | Intermediate | Verify that structured log entries include trace context fields for correlation with spans. |
metrics-endpoint| Example | Level | Description |
|---|---|---|
enable-metrics-endpoint | Basic | Turn on the /metrics endpoint with defaults and scrape it with curl. |
Skills are distributed as plain SKILL.md files plus a sibling references/
and examples/ tree, so consumers can pick whichever access mode fits:
| Mode | How it works |
|---|---|
| Filesystem | Read libs/skills/catalog/frontmcp-observability/ directly from a clone of the catalog repo, or from a published @frontmcp/skills install. SKILL.md is the entry point. |
frontmcp CLI | frontmcp skills list, frontmcp skills read frontmcp-observability, frontmcp skills read frontmcp-observability:references/<file>.md, frontmcp skills install frontmcp-observability — no server required. |
MCP skill:// | When a developer mounts this skill into their own FrontMCP server (@FrontMcp({ skills: [...] })), the SDK exposes it via SEP-2640 resources: skill://frontmcp-observability/SKILL.md, skill://frontmcp-observability/references/{file}.md, etc. The server’s skill://index.json returns the SEP-2640 discovery document for everything mounted on it. |
The catalog itself is not an MCP server. The skill:// URIs only resolve
when a server has been configured to host this skill.
frontmcp-production-readiness, frontmcp-config, frontmcp-testing, frontmcp-development© agentfront, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 19 other files (references) in libs/skills/catalog/frontmcp-observability of agentfront/frontmcp.
Open the folder on GitHubat commit 8f59ba8
Frontmcp Observability next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Frontmcp Observability this skillagentfront/frontmcp | 146 | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | |
| Archestra Dev Observabilityarchestra-ai/archestra | 4.3k | — | ~1.2k | Automated safety check: Pass | Custom licence | |
| Monitoring Observabilityahmedasmar/devops-claude-skills | 203 | — | ~3.9k | Automated safety check: Pass | None | |
| ObservabilityTheBeardedBearSAS/claude-craft | 107 | — | ~547 | Automated safety check: Pass | MIT | |
| Tsh Implementing ObservabilityTheSoftwareHouse/copilot-collections | 284 | — | ~2k | Automated safety check: Pass | MIT | |
| Observability Architecturemajiayu000/litellm-rs | 116 | — | ~1.3k | Automated safety check: Pass | MIT |
archestra-ai/archestra
A skill your agent uses when changing Archestra tracing, metrics, OpenTelemetry, Tempo, Grafana, Prometheus, LLM/MCP spans, observability labels, or local observability setup.
ahmedasmar/devops-claude-skills
Monitoring and observability strategy, implementation, and troubleshooting.
TheBeardedBearSAS/claude-craft
OpenTelemetry, distributed tracing, structured logging, metrics (Prometheus, Grafana, Datadog).
TheSoftwareHouse/copilot-collections
Observability patterns for logging, monitoring, alerting, and distributed tracing.
majiayu000/litellm-rs
LiteLLM-RS Observability Architecture. An agent skill from majiayu000/litellm-rs.
Jeffallan/claude-skills
Sets up application monitoring: structured logs, Prometheus metrics, OpenTelemetry tracing, Grafana dashboards, alert rules and load tests with k6 or Artillery.
agentfront/frontmcp
A skill your agent uses when customizing, branding, or replacing the built-in FrontMCP OAuth pages (the login, consent, federated-select, incremental-authorization, and error pages) with your own…
agentfront/frontmcp
A skill your agent uses when pushing real-time notifications or events into Claude Code (or another MCP client) sessions, or building two-way chat bridges.
agentfront/frontmcp
A skill your agent uses when extending FrontMCP beyond the core SDK by integrating external npm packages, libraries, or third-party services into providers and tools.
agentfront/frontmcp
A skill your agent uses when implementing authorization and access control for FrontMCP tools, resources, prompts, or skills, deciding who may invoke what.
agentfront/frontmcp
A skill your agent uses when configuring a FrontMCP server through frontmcp.config or the @FrontMcp options.
agentfront/frontmcp
A skill your agent uses when deploying, building for production, packaging, or shipping a FrontMCP server.
Categories
A skill your agent uses when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server. Frontmcp Observability is an agent skill from agentfront/frontmcp. Use when adding tracing, structured logging, metrics, or monitoring to a FrontMCP server.
Frontmcp Observability fits situations like: structured logging; monitoring to a FrontMCP server.
Run `npx skills add agentfront/frontmcp --skill frontmcp-observability -a claude-code`. Or copy the skill folder (libs/skills/catalog/frontmcp-observability in agentfront/frontmcp) into .claude/skills/frontmcp-observability in your project. Claude Code loads it when a task matches its description.
Run `npx skills add agentfront/frontmcp --skill frontmcp-observability -a codex`. Or copy the skill folder (libs/skills/catalog/frontmcp-observability in agentfront/frontmcp) into .agents/skills/frontmcp-observability in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add agentfront/frontmcp --skill frontmcp-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/frontmcp-observability, .gemini/skills/frontmcp-observability, .github/skills/frontmcp-observability and .opencode/skills/frontmcp-observability in your project.
Going by SKILL.md and its folder, Frontmcp Observability needs the command-line tools its instructions call (npm). Our summary lists: Node.js.
SKILL.md names 1 domain. As links in the text: docs.agentfront.dev. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Frontmcp Observability is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.6k tokens (SKILL.md is roughly 18k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 13k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Frontmcp Observability: Archestra Dev Observability (archestra-ai/archestra, 4.3k stars), Monitoring Observability (ahmedasmar/devops-claude-skills, 203 stars), Observability (TheBeardedBearSAS/claude-craft, 107 stars) and Tsh Implementing Observability (TheSoftwareHouse/copilot-collections, 284 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
agentfront (a GitHub organization) maintains it in agentfront/frontmcp, which has 146 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on October 7, 2026.
Source: agentfront/frontmcp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.