Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add agentfront/frontmcp --skill frontmcp-observabilitygit clone --depth 1 https://github.com/agentfront/frontmcpWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agentfront/frontmcp/frontmcp-observability)<a href="https://agentmods.dev/skills/agentfront/frontmcp/frontmcp-observability"><img src="https://agentmods.dev/badge/skills/agentfront/frontmcp/frontmcp-observability/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agentfront/frontmcp/frontmcp-observability"><img src="https://agentmods.dev/badge/skills/agentfront/frontmcp/frontmcp-observability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 10 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Prompt Injection · line 144 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 159 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 166 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 173 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 181 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 187 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Memory Poisoning · line 203 Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
- medium Prompt Injection · line 203 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 205 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
- medium Prompt Injection · line 206 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00177 | $0.03205 |
| Opus 5.5 | $0.00071 | $0.01282 |
| Sonnet 5.5 | $0.00035 | $0.00641 |
| Haiku 4.5 | $0.00018 | $0.00320 |
Grade A, and why
frontmcp-observability scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| [`enable-metrics-endpoint`](./examples/metrics-endpoint/enable-metrics-endpoint.md) | Basic | Turn on the /metrics endpoint with defaults and scrape it with curl. | How it starts
The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FrontMCP Observability
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.
When to Use This Skill
Must Use
- Adding tracing, logging, or monitoring to a FrontMCP server
- Connecting Coralogix, Datadog, Logz.io, Grafana, or any OTLP backend
- Using
this.telemetryto create custom spans in tools, plugins, or agents - Setting up structured logging with winston, pino, or NDJSON stdout
- Testing that spans and log entries are created correctly
Recommended
- Before going to production (see also
frontmcp-production-readiness) - When debugging request latency or error rates
- When building plugins that need trace context propagation
Skip When
- Building a prototype that doesn't need observability yet
- Configuring auth, transport, or throttle (see
frontmcp-config) - Setting up the project from scratch (see
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.
Prerequisites
- A working FrontMCP server (see
frontmcp-setup) npm install @frontmcp/observability
Step 1: Choose What You Need
| 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 |
What ships with it
18 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- examples/metrics-endpoint/enable-metrics-endpoint.md 2.4 KB
- examples/structured-logging/stdout-logging.md 1.8 KB
- examples/structured-logging/winston-integration.md 2.0 KB
- examples/telemetry-api/agent-nested-tracing.md 2.9 KB
- examples/telemetry-api/plugin-telemetry.md 3.4 KB
- examples/telemetry-api/skill-counters.md 3.7 KB
- examples/telemetry-api/tool-custom-spans.md 2.6 KB
- examples/testing-observability/test-custom-spans.md 2.6 KB
- examples/testing-observability/test-log-correlation.md 3.1 KB
- examples/tracing-setup/basic-tracing.md 1.9 KB
- examples/tracing-setup/production-tracing.md 2.5 KB
- examples/vendor-integrations/coralogix-setup.md 2.3 KB
- references/metrics-endpoint.md 12 KB
- references/structured-logging.md 6.6 KB
- references/telemetry-api.md 14 KB
- references/testing-observability.md 5.7 KB
- references/tracing-setup.md 6.8 KB
- references/vendor-integrations.md 7.5 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago Changed db5131696123
- 14d ago Changed be4dd4c2fe21
- 15d ago Changed · +1 lines 13ce3021cac5
- 1mo ago First seen · 217 lines · 177 tokens per session scan A 6fbaf4f7f315
frontmcp-observability is a skill published in the GitHub repository agentfront/frontmcp (147 stars, last pushed today), licensed Apache-2.0. It adds 177 tokens to every session and 3,205 once invoked, about $0.0007 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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