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Agent skill

Coderabbit Observability

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Measure review adoption, latency, findings, usage, and outcomes from documented dashboards, exports, reports, or API data.

MITAuto-check passedDevOps & Cloud

Install Coderabbit Observability

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill coderabbit-observability -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace coderabbit-observability --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/coderabbit-observability .claude/skills/coderabbit-observability && 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
coderabbit-observability
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
460 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Measure review adoption, latency, findings, usage, and outcomes from documented dashboards, exports, reports, or API data.

  • Works in 4 steps: Define decision, population, provider,… → Export with timestamps, filters,… → Compute coverage, response, resolution,… → …
  • This operator task needs a current
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Coderabbit Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Measure review adoption, latency, findings, usage, and outcomes from documented dashboards, exports, reports, or API data. Use when this operator task needs a current, evidence-backed CodeRabbit workflow. Trigger with "measure CodeRabbit reviews".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Requires current CodeRabbit documentation and approved access for any live organization, repository, billing, or API change

It sits in DevOps & Cloud, covering Observability. It works with Git. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • This operator task needs a current
  • Evidence-backed CodeRabbit workflow
  • With measure CodeRabbit reviews

Example prompts

  • “measure CodeRabbit reviews”
  • “/coderabbit-observability”

Requirements

  • Compatibility (from SKILL.md): Requires current CodeRabbit documentation and approved access for any live organization, repository, billing, or API change
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

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

  1. Define decision, population, provider, repositories, UTC window, and metrics.
  2. Export with timestamps, filters, pagination, and exclusions.
  3. Compute coverage, response, resolution, and usage with denominators.
  4. Compare cohorts and publish thresholds only after baseline evidence.

What it can do on your machine

Read from SKILL.md and the folder at commit 23ea8d4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • Write
    • Edit

    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.

  • Compatibility

    Requires current CodeRabbit documentation and approved access for any live organization, repository, billing, or API change

    From compatibility in the SKILL.md frontmatter.

Context cost

Coderabbit Observability loads about 1.1k tokens when it runs, and up to ~1.4k if it reads all its reference files. Until then it costs about 68 tokens; SKILL.md has 460 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.4k

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 jeremylongshore/tons-of-skills-marketplace at commit 23ea8d4, republished under its MIT licence (© jeremylongshore). 460 words, ~1,079 tokens.

Download SKILL.mdSave it as .claude/skills/coderabbit-observability/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
coderabbit-observability
description
Measure review adoption, latency, findings, usage, and outcomes from documented dashboards, exports, reports, or API data. Use when this operator task needs a current, evidence-backed CodeRabbit workflow. Trigger with "measure CodeRabbit reviews".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Requires current CodeRabbit documentation and approved access for any live organization, repository, billing, or API change
version
2.0.0
argument-hint
[target] [evidence-or-scope]
model
inherit
effort
high
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, coderabbit, observability, metrics, reporting

CodeRabbit Observability

Overview

Use documented metric definitions and preserve denominators. Avoid scraping bot comments as a substitute for authoritative reporting.

Prerequisites

  • Identify the CodeRabbit organization, Git provider, repository, plan, and accountable owner.
  • Read references/official-docs.md and re-check any time-sensitive contract before execution.
  • Use synthetic or read-only evidence until the approval boundary is satisfied.
  • Preserve the repository's independent CI, security, and human-review requirements.

Current Contract

  • Git-platform and IDE or CLI metrics have separate definitions.
  • The Usage dashboard explains events, limits, and the Review Log.
  • Data export supports offline analysis.
  • Authenticated metrics APIs depend on plan and permissions.

Authentication

Treat Git-provider sessions, CodeRabbit web sessions, CLI credentials, and CodeRabbit API keys as separate credentials. Use only an already-approved session or secret-manager reference, never print a secret, and do not place credentials in .coderabbit.yaml, source files, logs, or deliverables.

Instructions

  1. Define decision, population, provider, repositories, UTC window, and metrics.

  2. Export with timestamps, filters, pagination, and exclusions.

  3. Compute coverage, response, resolution, and usage with denominators.

  4. Compare cohorts and publish thresholds only after baseline evidence.

Tool Discipline

  • Use Glob to locate candidate configuration and evidence files without widening scope.
  • Use Grep to find relevant fields, commands, identifiers, and stale claims.
  • Use Read to inspect the smallest required files and authoritative evidence.
  • Use Write only for a new approved local draft or evidence artifact.
  • Use Edit only for a bounded approved change whose rollback is known.
  • Do not use these file tools as a substitute for authenticated CodeRabbit or provider operations.

Approval Boundaries

Require data-owner approval before user-level exports, scheduled reports, or API credentials. Keep analysis and drafts local until approval is explicit, and record who approved the action and its scope.

Show full SKILL.md (181 more words)Show less

Output

A reproducible metric spec, source receipt, dataset summary, dashboard, anomalies, and actions. Include source dates, unknowns, and the exact boundary between observed fact and recommendation.

Error Handling

ConditionResponse
Current contract is unclear or docs disagreeStop mutation, cite both sources, and request owner resolution.
Required access or approval is missingProduce a draft and evidence plan only.
Validation or pilot behavior differs from expectationRestore the prior state and retain the failed evidence.
Output contains secrets or private codeStop, quarantine the artifact, redact it, and notify the data owner.

Examples

Example 1

Compare coverage before and after central config rollout.

Example 2

Reconcile CLI use with Review Log before buying credits.

Validation

  • Confirm every claim against the dated sources in references/official-docs.md.
  • Verify the requested scope, owner, approval, happy path, failure path, and rollback.
  • Re-read the effective configuration or provider state after any approved change.
  • Report unsupported fields, undocumented endpoints, and unverified assumptions as failures.

Resources

© jeremylongshore, MIT. 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 1 other file (references) in skills/.curated/coderabbit-observability of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit 23ea8d4

Compare with similar skills

Coderabbit Observability 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.

Coderabbit Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Coderabbit Observability this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
Alloygrafana/skills279—~1.3kAutomated safety check: PassApache-2.0
Automating Devopstelagod/code-abyss243—~422Automated safety check: PassMIT
Setting Up Cloudwatch Observabilityaws/agent-toolkit-for-aws2.8k—~5kAutomated safety check: PassApache-2.0
Production Error Huntdifferent-ai/openwork24k—~803Automated safety check: PassCustom licence
Vercel Optimize Auditvercel-labs/agent-skills32k9 repos~4.3kAutomated safety check: PassNone

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Works with

Categories

Questions about Coderabbit Observability

What does Coderabbit Observability do?

Measure review adoption, latency, findings, usage, and outcomes from documented dashboards, exports, reports, or API data. Coderabbit Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Measure review adoption, latency, findings, usage, and outcomes from documented dashboards, exports, reports, or API data.

When should I use Coderabbit Observability?

Coderabbit Observability fits situations like: this operator task needs a current; evidence-backed CodeRabbit workflow; with measure CodeRabbit reviews.

How do I install Coderabbit Observability in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill coderabbit-observability -a claude-code`. Or copy the skill folder (skills/.curated/coderabbit-observability in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/coderabbit-observability in your project. Claude Code loads it when a task matches its description.

How do I install Coderabbit Observability in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill coderabbit-observability -a codex`. Or copy the skill folder (skills/.curated/coderabbit-observability in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/coderabbit-observability in your project. Codex loads it when a task matches its description.

Can I use Coderabbit Observability 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 jeremylongshore/tons-of-skills-marketplace --skill coderabbit-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/coderabbit-observability, .gemini/skills/coderabbit-observability, .github/skills/coderabbit-observability and .opencode/skills/coderabbit-observability in your project.

What does Coderabbit Observability need to run?

SKILL.md names no scripts, command-line tools or credentials: Coderabbit Observability is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Requires current CodeRabbit documentation and approved access for any live organization, repository, billing, or API change.

Does Coderabbit Observability 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 Coderabbit Observability 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 Coderabbit Observability use?

Coderabbit Observability is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Coderabbit Observability use?

About 1.1k tokens (SKILL.md is roughly 4.3k 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 338 tokens, read only when the agent opens those files.

What are the alternatives to Coderabbit Observability?

Skills that share tags, products or a category with Coderabbit Observability: Alloy (grafana/skills, 279 stars), Automating Devops (telagod/code-abyss, 243 stars), Setting Up Cloudwatch Observability (aws/agent-toolkit-for-aws, 2.8k stars) and Production Error Hunt (different-ai/openwork, 24k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Coderabbit Observability?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,821 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 8, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.