Agent skill

Observal Ops

by Observal in Observal/Observal

Inspects Observal traces, sessions, rankings, feedback, telemetry health, logs, and Agent insight reports.

Apache-2.0Auto-check passedDocuments & Office

Install Observal Ops

skills CLI
$ npx skills add Observal/Observal --skill observal-ops -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Observal/Observal observal-ops --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Observal/Observal.git skills-src && mkdir -p .claude/skills && cp -r skills-src/observal_cli/skills/observal-ops .claude/skills/observal-ops && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
observal-ops
GitHub stars
4.3k
Token cost
~654 tokens
SKILL.md length
287 words
Files
3 (incl. references)
Skills in repo
7
Repo updated
First seen
Licence
Apache-2.0

At a glance

Inspects Observal traces, sessions, rankings, feedback, telemetry health, logs, and Agent insight reports.

  • Works in 8 steps: Execute commands with a 60 second… → Use machine output by default: add… → Run --help before acting when a path or… → …
  • The user wants operational evidence
  • SKILL.md covers Execution contract, Choose the workflow, Analysis rules and Completion
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Observal Ops is an agent skill from Observal/Observal. 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.

Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/insight-reports.md` and `references/operational-workflows.md`).

It sits in Documents & Office, covering Statistics. The repository describes itself as: 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… The licence is Apache-2.0.

When your agent uses it

  • The user wants operational evidence
  • Current activity
  • Telemetry diagnosis
  • Report generation

Example prompts

  • “Use the observal-ops skill to inspect Observal traces, sessions, rankings, feedback, telemetry health, logs, and Agent insight reports”
  • “/observal-ops”

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  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.

What it can do on your machine

Read from SKILL.md and the folder at commit 3bc173c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Observal Ops loads about 654 tokens when it runs, and up to ~2.1k if it reads all its reference files. Until then it costs about 74 tokens; SKILL.md has 287 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~654
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Observal/Observal at commit 3bc173c, republished under its Apache-2.0 licence (© Observal). 287 words, ~654 tokens.

Download SKILL.mdSave it as .claude/skills/observal-ops/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
observal-ops
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.
command
observal
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 intentRead
Sessions, traces, rankings, ratings, telemetry, or logsOperational workflows
Agent health, friction, costs, versions, regressions, or suggestionsInsight reports

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.

© Observal, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in observal_cli/skills/observal-ops of Observal/Observal.

  • SKILL.md
  • references/insight-reports.md
  • references/operational-workflows.md

Open the folder on GitHubat commit 3bc173c

Compare with similar skills

Observal Ops next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Observal Ops compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Observal Ops this skillObserval/Observal4.3k—~654Automated safety check: PassApache-2.0
Format Markdown Tablemaslennikov-ig/claude-code-orchestrator-kit260—~1kAutomated safety check: PassCustom licence
Literature Statisticsaipoch/medical-research-skills1.9k—~1.9kAutomated safety check: PassMIT
Research Integrity Auditxuzhougeng/wisp-science1k—~2.6kAutomated safety check: PassAGPL-3.0
Review RevisionM1n-n9/paper-lifecycle693—~2.3kAutomated safety check: PassNone
Gslides Update Hiringlselector/seminar164—~956Automated safety check: PassNone

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Questions about Observal Ops

What does Observal Ops do?

Inspects Observal traces, sessions, rankings, feedback, telemetry health, logs, and Agent insight reports. Observal Ops is an agent skill from Observal/Observal. Inspects Observal traces, sessions, rankings, feedback, telemetry health, logs, and Agent insight reports.

When should I use Observal Ops?

Observal Ops fits situations like: the user wants operational evidence; current activity; telemetry diagnosis; report generation.

How do I install Observal Ops in Claude Code?

Run `npx skills add Observal/Observal --skill observal-ops -a claude-code`. Or copy the skill folder (observal_cli/skills/observal-ops in Observal/Observal) into .claude/skills/observal-ops in your project. Claude Code loads it when a task matches its description.

How do I install Observal Ops in Codex?

Run `npx skills add Observal/Observal --skill observal-ops -a codex`. Or copy the skill folder (observal_cli/skills/observal-ops in Observal/Observal) into .agents/skills/observal-ops in your project. Codex loads it when a task matches its description.

Can I use Observal Ops in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Observal/Observal --skill observal-ops -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/observal-ops, .gemini/skills/observal-ops, .github/skills/observal-ops and .opencode/skills/observal-ops in your project.

What does Observal Ops need to run?

SKILL.md names no scripts, command-line tools or credentials: Observal Ops is instructions for the agent only.

Does Observal Ops access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Observal Ops safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Observal Ops use?

Observal Ops is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Observal Ops use?

About 654 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.4k tokens, read only when the agent opens those files.

What are the alternatives to Observal Ops?

Skills that share tags, products or a category with Observal Ops: Format Markdown Table (maslennikov-ig/claude-code-orchestrator-kit, 260 stars), Literature Statistics (aipoch/medical-research-skills, 1.9k stars), Research Integrity Audit (xuzhougeng/wisp-science, 1k stars) and Review Revision (M1n-n9/paper-lifecycle, 693 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Observal Ops?

Observal (a GitHub organization) maintains it in Observal/Observal, which has 4,300 GitHub stars. The repository holds 7 skills in this directory. The repository was last updated on October 10, 2026.

Source: Observal/Observal on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.