Star200+

Fizzy Cli

REVIEW · 70
Community indexed

Fizzy CLI and Agent Skills

Downloads0
Stars205
Version1.0.0
Quality93/100 · Excellent
Trust70/100 · Sandbox only
Audit86/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Agent fit

Claude Code + OpenAI Agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add basecamp/fizzy-cli

Maintenance

fresh

5d since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

205

93/100 Quality · 78/100 Trust

Coverage tags

CodingCoding agentsutilityagent-skillskill

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
93

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Sandbox only
70

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
86

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

GoCodexClaude CodeCursorOpenAgentSkill CLI

Stars

205 GitHub stars

Repo activity

205 stars, 26 forks

Maintenance

5d since push

License

MIT

Install

npx skills add basecamp/fizzy-cli

Install safety

standard package or runtime install path

Permission surface

secrets or environment access, shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 205 stars, 26 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect source files

Suited agents

GoCodexClaude CodeCursorOpenAgentSkill CLIOpenAI AgentsCLI

Install decision

Command
npx skills add basecamp/fizzy-cli
Policy
review
Human review
yes

Trust and risk

Trust
70/100
Audit
86/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add basecamp/fizzy-cli
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Alternative

Claude Scientific Skills

31.2K Stars

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Agent safety v2

50/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add basecamp/fizzy-cli

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Open JSON

/api/agent/resolve?task=Use%20Fizzy%20Cli%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Fizzy%20Cli%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/basecamp-fizzy-cli/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Fizzy Cli in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Fizzy%20Cli%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/basecamp-fizzy-cli/install
Install command: npx skills add basecamp/fizzy-cli
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/basecamp-fizzy-cli/install

LLM text format

/api/skills/basecamp-fizzy-cli/install?format=text

Find alternatives

/api/skills/search?q=Fizzy%20Cli&limit=3

Agent prompt

Use Fizzy Cli for this task. Review https://www.openagentskill.com/api/skills/basecamp-fizzy-cli/install, then install with: npx skills add basecamp/fizzy-cli

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/basecamp-fizzy-cli

LLM text

/api/registry/manifest/basecamp-fizzy-cli?format=text

Install alias

/api/registry/install/basecamp-fizzy-cli

Recommend

/api/registry/recommend?task=Use%20Fizzy%20Cli%20in%20an%20agent%20workflow&limit=3

Agent fit

92/100

Coding agents

Use-case tags

Coding agentsBrowser automationGitHub automation

Platforms

Go, Claude Code, OpenAI Agents

Audit report

Needs review · 86/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Primary pick for Coding agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

92
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Coding agents

Trust label

Production-ready

Install path

Command ready

Use when

  • Coding agents workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 93/100 quality profile

review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Coding agents task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

70
OpenAgentSkill Trust Score

GitHub adoption

INFO

205 GitHub stars

Stars/forks activity

CHECK

205 stars, 26 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

5d since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Permission surface needs review: secrets or environment access, shell or command execution
  • Stars/forks activity: 205 stars, 26 forks; issue activity unavailable in current metadata
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

93
GitHub stars
205
Freshness
5d ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Operate web apps

Browser automation

I need my agent to control a browser, fill forms, and verify web app workflows.

Manage repositories

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Workflow fit

Add it to a complete workflow

Inspect, patch, and verify code

Coding review agent

A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Operate and verify web apps

Browser QA agent

A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.

Turn skills into distribution

Content growth agent

A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

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Overview

# <img src="assets/fizzy-badge.png" height="28" alt="Fizzy"> Fizzy CLI

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`fizzy` is a command-line interface for [Fizzy](https://fizzy.do). Manage boards, cards, comments, and more from your terminal or through AI agents.

- Works standalone or with any AI agent (Claude, Codex, Copilot, Gemini) - JSON output with breadcrumbs for easy navigation - Token authentication via personal access tokens - Includes agent skill and Claude plugin setup

## Quick Start

```bash curl -fsSL https://raw.githubusercontent.com/basecamp/fizzy-cli/master/scripts/install.sh | bash fizzy setup ```

That's it. The installer detects your platform and architecture, downloads the right binary, and verifies checksums. The setup wizard then walks you through configuring your token, selecting your account, and optionally setting a default board.

Recommended first checks:

```bash fizzy doctor fizzy board list ```

Use `fizzy doctor` any time you want a full health check of your install, config, auth, API connectivity, board context,

Platform compatibility

goFULL

Technical details

Version
1.0.0
License
MIT
Last updated
Jul 27, 2026
Published
Jul 27, 2026

Frameworks & tools

Go

Decision snapshot

Primary pick

92
Ready
Adopt
Stage

recent repository activity

Audit

Install review

Install and adoption review

86
Needs review
Security
77/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Fizzy Cli, ready for a manual X post.

Curator note
A practical pick for a real agent workflow:

Fizzy Cli: Fizzy CLI and Agent Skills

205 stars

https://www.openagentskill.com/skills/basecamp-fizzy-cli?ref=x
Open X draft
Optional reply with install command
Listing + install path for Fizzy Cli:
https://www.openagentskill.com/skills/basecamp-fizzy-cli?ref=x

Install: npx skills add basecamp/fizzy-cli
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
basecamp
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Community indexed listing is attributed to basecamp but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/basecamp-fizzy-cli?metric=listed&label=Listed)](https://www.openagentskill.com/skills/basecamp-fizzy-cli)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/basecamp-fizzy-cli?metric=trust&label=Trust)](https://www.openagentskill.com/skills/basecamp-fizzy-cli)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/basecamp-fizzy-cli?metric=audit&label=Audit)](https://www.openagentskill.com/skills/basecamp-fizzy-cli/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/basecamp-fizzy-cli?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/basecamp-fizzy-cli)
Preview badge Open audit Creator kit

Author

B

basecamp✓

@basecamp

Tags

agent-skillskillagentskill-namego

Platform fit

Claude CodeOpenAI Agents

Health signals

GitHub stars
205
Quality score
56/100
Last GitHub push
Jul 27, 2026
Framework hints
1
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

70
  • GitHub adoption205 GitHub starsINFO
  • Stars/forks activity205 stars, 26 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance5d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskcommand execution surface, credential or environment accessCHECK

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