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 IAPro-Community/Orquestrador-Maestro --skill skill-agent-observabilitygit clone --depth 1 https://github.com/IAPro-Community/Orquestrador-MaestroWrote 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/iapro-community/orquestrador-maestro/skill-agent-observability)<a href="https://agentmods.dev/skills/iapro-community/orquestrador-maestro/skill-agent-observability"><img src="https://agentmods.dev/badge/skills/iapro-community/orquestrador-maestro/skill-agent-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/iapro-community/orquestrador-maestro/skill-agent-observability"><img src="https://agentmods.dev/badge/skills/iapro-community/orquestrador-maestro/skill-agent-observability.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00144 |
| Opus 5 | $0.00016 | $0.00072 |
| Sonnet 5 | $0.00007 | $0.00029 |
| Haiku 4.5 | $0.00003 | $0.00014 |
Grade A, and why
skill-agent-observability 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 11d 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.
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.
What it actually says
Agent Observability
Define a minimal event taxonomy for runs, steps, tool calls, retries, failures, tokens, cost, latency, approvals, and outcomes. Redact secrets and personal data. Prefer OpenTelemetry-compatible spans when infrastructure supports it. Add dashboards or reports for success rate, tool failure rate, p50/p95 latency, cost per task, human intervention, and regression comparisons. Do not claim quality improvement without a baseline.
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.
- 11d ago First seen · 12 lines · 33 tokens per session scan A e14a0fc87eba
skill-agent-observability is a skill published in the GitHub repository IAPro-Community/Orquestrador-Maestro (41 stars, last pushed yesterday), licensed Apache-2.0. It adds 33 tokens to every session and 144 once invoked, about $0.0002 per session on Opus 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 2026-08-30.
Other skills, from other repositories
agent-self-scheduling
Schedule AI agent runs with cron, loops, or external clocks while avoiding unsafe tight autonomous timers.
agenttrace-session-audit
Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.
agenttrace-session-audit
Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.
self-improving-agent
Low-noise self-improvement skill. Captures learnings, errors, and corrections into a local .learnings/ cache layer. Never auto-promotes to long-term memory files (SOUL.md, MEMORY.md, AGENTS.md, TOOLS.md). Promotion requires explicit user approval after repeated validation.
cross-border-customer-service-brief
Cluster refund, return, complaint, and bad-review notes into a daily support brief with response guidance and escalation hints.
content-repurposing-engine
Converts long-form content into multiple formats like social media threads, short video scripts, or summaries while preserving the core message.