agent-observability SKILL.md skillA
agent-observability from jnpiyush/agentx is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jnpiyush/agentx/agent-observability@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jnpiyush/agentx
- Path
.github/skills/ai-systems/agent-observability/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Sep 15, 2026
- First version recorded
- Apr 30, 2026
- Size
- 5,598 bytes
- Repository stars
- 18
- License
- Apache-2.0
Instrument LLM agents with tracing, metrics, and evaluation telemetry. Use when adding OpenTelemetry GenAI semantic conventions, integrating Langfuse / LangSmith / Arize Phoenix / Helicone / OpenLLMetry, capturing prompt/response spans, tool-call latency, token cost, eval scores, and feedback signals. Distinct from genaiops (release policy) and ai-evaluation (rubric design).
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Agent Observability > **Purpose**: Make every LLM call, tool call, and agent decision observable, debuggable, and cost-attributable. --- ## When to Use This Skill - Standing up an LLM-powered service in any environment beyond local dev - Investigating regressions, latency spikes, or cost spikes - Wiring evaluation scores into traces for replay - Building a feedback loop from production data - Debugging multi-agent handoffs (see `multi-agent-orchestration`) --- ## Three Pillars | Pillar | What | Tools | |--------|------|-------| | **Traces** | Per-request span tree of model + tool calls | OpenTelemetry, Langfuse, LangSmith, Phoenix | | **Metrics** | Aggregate latency, cost, error rate, eval scores | Prometheus, Azure Monitor, Datadog | | **Logs** | Raw prompts, responses, tool args (PII-scrubbed) | Same backends + log store | Use all three. Traces alone are not sufficient for SLO monitoring; metrics alone cannot debug a single bad response. --- ## OpenTelemetry GenAI Semantic Conventions The OTel GenAI semantic conventions are now stable. Use them. Key span attributes: | Attribute | Example | |-----------|---------| …
Read the whole file at its exact version.
How to install
mdr add jnpiyush/agentx/agent-observability@sha256:4a2581e6f6fed4cfThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_m6iddpef3t6f6mzj)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Apr 30, 2026 and Sep 15, 2026, about one every 69 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-15 | f17c505 | 5,598 B | A | view · diff |
| v1.0.0 | 2026-06-21 | 2514c5b | 5,596 B | A | view · diff |
| v1.0.0 | 2026-04-30 | 4f38ce8 | 5,596 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (5598 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jnpiyush/agentx · 18 stars · license Apache-2.0 · pushed 2026-11-01 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_m6iddpef3t6f6mzj GET https://markdownregistry.com/api/v1/resolve?ref=jnpiyush/agentx/agent-observability GET https://markdownregistry.com/api/v1/blob/4a2581e6f6fed4cf2ceb2832feeb8938f50f66eb9697e4c2174f7cfdc49f0ff0
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.