# Agent Observability

> >

- **Type:** Skill
- **Install:** `agentstack add skill-arnie016-codex-prompt-templates-agent-observability`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [Arnie016](https://agentstack.voostack.com/s/arnie016)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [Arnie016](https://github.com/Arnie016)
- **Source:** https://github.com/Arnie016/codex-prompt-templates/tree/main/skills/agent-observability
- **Website:** https://github.com/Arnie016/codex-prompt-templates

## Install

```sh
agentstack add skill-arnie016-codex-prompt-templates-agent-observability
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Agent Observability

Use lightweight local observability before adopting a full platform.

## Minimal Run Ledger

Create:

```text
.agent-runs/
  runs.jsonl
  evals.md
  costs.md
```

Each `runs.jsonl` entry should include:

```json
{"ts":"","task":"","model":"","inputs":"","commands":[],"result":"","tokens_est":"","cost_est":"","status":""}
```

## What To Track

- task type and outcome
- commands run
- tests passed/failed
- estimated tokens and cost
- repeated failure causes
- user corrections
- guardrail or safety decisions

## Eval Loop

1. Define 3-10 realistic tasks.
2. Run the same task across workflow variants.
3. Score correctness, time, tokens, and human intervention.
4. Keep the cheaper path only if quality is comparable.

## Skip Or Escalate

When observability needs gateway policy, staged guardrails, shadow traffic,
trace-to-regression feedback, or model budgets, switch to
`$auto-skill-build-agent-reliability-loop`. Keep this skill for local ledgers
and lightweight eval/cost tracking.

Use full platforms like Future AGI when you need hosted traces, simulations,
gateway routing, or production guardrails. Use local ledgers for personal workflows.

For appending or summarizing `.agent-runs/runs.jsonl`, use
`$auto-skill-build-agent-run-ledger-dashboard`.

For Codex Supercharge artifact grades and subagent/automation handoff status,
use `$auto-skill-build-supercharge-feedback-loop`; it writes a separate local
feedback stream under `plugins/codex-supercharge/.agent-runs/`.

## Validation

- Each tracked run has a task, status, commands/tests, and outcome.
- Cost/token notes are marked as estimates unless measured.
- Repeated failures are summarized into a follow-up or eval case.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [Arnie016](https://github.com/Arnie016)
- **Source:** [Arnie016/codex-prompt-templates](https://github.com/Arnie016/codex-prompt-templates)
- **License:** MIT
- **Homepage:** https://github.com/Arnie016/codex-prompt-templates

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-arnie016-codex-prompt-templates-agent-observability
- Seller: https://agentstack.voostack.com/s/arnie016
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.