Atlas / Skills / blazeup-ai / Observal Ops

Observal OpsSAFE

skills/blazeup-ai/observal-ops

Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
2.4.0
Hosts
—
License
Apache-2.0
Stars
4,245
01

Overview

Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.

Read from source at commit 6ae7cbfc894cOBSERVED · 2026-10-08
02

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
# SPDX-FileCopyrightText: 2026 Hemalatha Madeswaran <[email protected]>
# SPDX-License-Identifier: Apache-2.0
name: observal-ops
command: observal
description: "Inspects Observal traces, sessions, rankings, feedback, telemetry health, logs, and Agent insight reports. Use when the user wants operational evidence, current activity, telemetry diagnosis, ratings, report generation, regression analysis, or recommendations grounded in Agent usage."
version: 2.4.0
owner: observal
---

# Observing Observal

## Execution contract

1. Execute commands with a 60 second timeout. Use a longer timeout only for report generation or an intentional stream.
2. **Use machine output by default:** add `--output json` whenever supported. Parse list envelopes, finite objects, and JSON Lines separately.
3. Run `--help` before acting when a path or flag is uncertain.
4. Start with the narrowest read that answers the question. Do not generate a new report when a completed report already suffices.
5. Ground every conclusion in returned fields, report period, and sample size. Distinguish missing data from healthy data.
6. Verify rating mutations and report generation results.
7. Never repeat secrets or sensitive trace and log content unless the user explicitly requests the specific data and is authorized.
8. After an uncertain rating or report-generation failure, read current state before retrying.

## Choose the workflow

| User intent | Read |
| --- | --- |
| Sessions, traces, rankings, ratings, telemetry, or logs | [Operational workflows](references/operational-workflows.md) |
| Agent health, friction, costs, versions, regressions, or suggestions | [Insight reports](references/insight-reports.md) |

Read the selected reference completely before executing.

## Analysis rules

- A zero exit status from telemetry diagnosis can still contain issues or warnings. Read the JSON health fields.
- No events is not automatically a hook problem. Check authentication, server reachability, local outbox, and hook state in that order.
- Quote report evidence accurately and say when session count is thin.
- Only `component_ref` proves an insight suggestion maps to a Registry component. Never reconstruct a component identity from prose.
- Lead with reuse suggestions before create-new suggestions.
- For logs and traces, summarize the minimum sensitive content needed to answer the question.

## Completion

Report the time range, filters, counts, health state, strongest evidence, uncertainty, and concrete next action. Do not present popularity fallback or sparse reports as personalized certainty.
03

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha 6ae7cbfc894cfull audit observations/trust-audit/skill/blazeup-ai__observal-ops.json · Report an issue / request a re-scan
04

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-086ae7cbfc894cSAFEB89first audit
05

Questions

What does the Observal Ops skill do?

Observal is self-hosted registry for your coding agent extensions with a built in insight engine. Setup Observal, define the scope and share your Skills, MCPs and Agents with your peers.

Is Observal Ops safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Observal Ops access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (6ae7cbfc894c), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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