What is agenticx-agent-obs?

An observability setup and diagnosis guide for AgenticX, a system that records what AI agents do. It covers traces, which are timelines of runs and their steps, plus sessions, token use, and response timing.

Use it to connect Near desktop, Python, TypeScript, or Go agents and supported agent frameworks to AgenticX. It also helps inspect tool, model, and subagent traces and compare timing or token spikes.

It helps make local or hosted agent runs visible and explains how to investigate failed steps and slow responses. This replaces manual inspection with recorded run data and latency summaries.

agenticx-agent-obs — Skill for Claude Code and Codex by DemonDamon

Install

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.

Any agent

npx skills add DemonDamon/AgenticX --skill agenticx-agent-obs

Clone the repo

git clone --depth 1 https://github.com/DemonDamon/AgenticX

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/demondamon/agenticx/agenticx-agent-obs/github.svg)](https://agentmods.dev/skills/demondamon/agenticx/agenticx-agent-obs)

Your own site

<a href="https://agentmods.dev/skills/demondamon/agenticx/agenticx-agent-obs"><img src="https://agentmods.dev/badge/skills/demondamon/agenticx/agenticx-agent-obs/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/demondamon/agenticx/agenticx-agent-obs"><img src="https://agentmods.dev/badge/skills/demondamon/agenticx/agenticx-agent-obs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,091 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00089	$0.01091
Opus 5.5	$0.00036	$0.00436
Sonnet 5.5	$0.00018	$0.00218
Haiku 4.5	$0.00009	$0.00109

Measured today against content hash 9d2cc56cc76d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agenticx-agent-obs scanned grade A with 0 findings 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 today.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/diagnose_traces.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agenticx/skills/agenticx-agent-obs/SKILL.md · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgenticX Observability Assistant (`agenticx-agent-obs`)

Guide for connecting AI agents to the AgenticX Runtime Observability center (/ops/logs: Overview, Traces, Observations, Sessions) and diagnosing trace errors or latency bottlenecks.

Core Capabilities

Desktop & Local Runtime Auto-Onboarding: Configure ~/.agenticx/config.yaml so Near desktop sessions automatically report run, model, tool, and subagent spans (including reasoning thought previews) to the enterprise observability endpoint.
Multi-Framework SDK Instrumentation: Instrument Python (agenticx, openai, langchain, langgraph), TypeScript/Node.js, or Go services to report structured trace spans.
Interactive Trace & Session Diagnosis: Query recent traces, inspect failed tool / model / subagent observations, and summarize latency P50/P90 or token spikes using the bundled diagnostic script.

Workflow 1 — Connect Near Desktop to Enterprise Observability

When the user wants their local Near desktop runs to appear in the Enterprise Admin Console (运行观测):

Inspect ~/.agenticx/config.yaml under the enterprise: section.
Ensure the following keys are present (ask the user for base_url and token only if missing):
```
enterprise:
  enabled: true
  base_url: "<ENTERPRISE_PORTAL_URL>"
  user_email: "<USER_ACCOUNT>"
```
(The personal access credential is configured in Near Desktop Settings → Enterprise Connection.)
Verify connectivity using the bundled diagnostic script (see Workflow 3).
Explain privacy guarantees:
- Uploaded spans include trace_id, step_no, step_kind (run | model | tool | subagent), status, model, provider, token counts, duration_ms, and 500-char clipped previews of user input, assistant reply, and model reasoning (metadata.thought).
- Tool arguments and raw tool outputs are never uploaded.

Workflow 2 — Instrument External Agent Code (Python / LangChain / OpenAI / TS)

Read the full file on GitHub · 67 lines

Files

What ships with it

2 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.

Changes

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.

today First seen · 67 lines · 89 tokens per session scan A 9d2cc56cc76d

Subscribe to this mod's changes

agenticx-agent-obs is a skill published in the GitHub repository DemonDamon/AgenticX (460 stars, last pushed today), licensed Apache-2.0. It adds 89 tokens to every session and 1,091 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-17.

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