llm-observability SKILL.md skillA

llm-observability from nahid-sparktales/agent-dispatcher is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nahid-sparktales/agent-dispatcher/llm-observability@git:20260919.a0d4f55

Pins git:20260919.a0d4f55 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nahid-sparktales/agent-dispatcher
Path
skills/ai/llm-observability/SKILL.md
Versions recorded
1
Latest version
git:20260919.a0d4f55, committed Sep 19, 2026
Size
6,276 bytes
Repository stars
58
License
MIT

See what an agent actually did — one trace per run with nested model, tool and retrieval spans, token and latency accounted per step, and failures clustered by mechanism instead of read one at a time. Use when an agent misbehaves in ways you cannot reproduce, when cost or latency is unexplained, when "it sometimes fails" is the whole bug report, or before writing evals when you do not yet know which failures exist. Not for judging whether an output is correct (agent-evals), and not a…

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

# LLM observability

An agent run is a tree of decisions, most of which nobody saw. Without a trace you are left
re-running the prompt and hoping the failure happens again while you watch.

## When this fires

A failure that will not reproduce, a cost or latency number nobody can account for, a "sometimes"
bug, or the start of eval work where the failure modes are still unknown. It does not fire for a
single deterministic call whose input and output you already hold.

## Procedure

1. **State the question first.** "Why did run X do Y", "where is the cost going", "which failures
   share a cause". Instrumentation added without a question becomes expensive noise nobody reads.
2. **One trace per run, nested by causality.** The run is the root; each model call, tool call,
   retrieval and retry is a child span in the place it actually happened. A flat log of lines loses
   the one thing you need — which step caused which.
3. **Record per span what cannot be reconstructed afterwards**: model id, prompt or system-prompt
   version, sampling parameters, input and output token counts, stop reason, tool name and
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nahid-sparktales/agent-dispatcher/llm-observability@sha256:459396d48a7ea26a

The line at the top of this page pins the label git:20260919.a0d4f55, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_2r52wcctnzmdyddr.svg)](https://markdownregistry.com/a/art_2r52wcctnzmdyddr)

7 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 19, 2026.

versioncommittedcommitsizeaudit
git:20260919.a0d4f55 latest2026-09-19 a0d4f55 6,276 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (6276 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

GitHub

nahid-sparktales/agent-dispatcher · 58 stars · license MIT · pushed 2026-10-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_2r52wcctnzmdyddr
GET https://markdownregistry.com/api/v1/resolve?ref=nahid-sparktales/agent-dispatcher/llm-observability
GET https://markdownregistry.com/api/v1/blob/459396d48a7ea26aa19ba96b9d5e97e23f6f1406e3413cd80672b92ad9ed4d8a

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.

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