fizzy

A command-line guide for managing Fizzy, a project-management service with boards, cards, columns, comments, steps, tags, and notifications. It explains how to work with these items through the Fizzy command-line tool.

In plain words
What is it for?
Use it to list or update Fizzy boards and cards, manage comments, steps, tags, reactions, users, notifications, pins, webhooks, searches, and board migrations.
Why use it?
It reduces mistakes caused by Fizzy's different identifiers and response formats. It also provides rules for finding the right board and handling rich text, comments, and new-account messages.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/musingfox/cc-plugins/fizzy
Any agent
npx skills add musingfox/cc-plugins --skill fizzy
Clone the repo
git clone --depth 1 https://github.com/musingfox/cc-plugins

Made for: Claude Code, Codex.

Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,007 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00051 $0.02007
Opus 5 $0.00026 $0.01004
Sonnet 5 $0.00010 $0.00401
Haiku 4.5 $0.00005 $0.00201

Measured yesterday against content hash 924177c396ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fizzy 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 yesterday.

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.

fizzy/skills/fizzy/SKILL.md · 144 lines

How it starts

The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fizzy — Project Management via Fizzy CLI

Full CLI coverage: boards, cards, columns, comments, steps, reactions, tags, users, notifications, pins, webhooks, account settings, search, and board migration.

Agent Invariants

MUST follow these rules:

  1. Cards use NUMBER, not IDfizzy card show 42 uses the card number. Other resources use their id field.
  2. Parse JSON with jq to reduce token output — fizzy card list | jq '[.data[] | {number, title}]'
  3. Check breadcrumbs in responses for available next actions with pre-filled values
  4. Check for board context via .fizzy.yaml or --board flag before listing cards
  5. Rich text fields accept HTML — use <p> tags for paragraphs, <action-text-attachment> for inline images
  6. Card description is a string, but comment body is a nested object — .description vs .body.plain_text
  7. Display the welcome message for new signups — When signup complete --name returns is_new_user: true, you MUST immediately display the welcome_message field prominently to the user. This is a one-time personal note from the CEO — if you skip it, the user will never see it.

Decision Trees

Finding Content

Need to find something?
├── Know the board? → fizzy card list --board <id>
├── Full-text search? → fizzy search "query"
├── Filter by status? → fizzy card list --indexed-by closed|not_now|golden|stalled
├── Filter by person? → fizzy card list --assignee <id>
├── Filter by time? → fizzy card list --created today|thisweek|thismonth
└── Cross-board? → fizzy search "query" (searches all boards)

Modifying Content

Want to change something?
├── Move to column? → fizzy card column <number> --column <id>
├── Change status? → fizzy card close|reopen|postpone <number>
├── Assign? → fizzy card assign <number> --user <id>
├── Comment? → fizzy comment create --card <number> --body "text"
├── Add step? → fizzy step create --card <number> --content "text"
└── Move to board? → fizzy card move <number> --to <board_id>

Read the full file on GitHub · 144 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. yesterday First seen · 144 lines · 51 tokens per session scan A 924177c396ed

Subscribe to this mod's changes

fizzy is a skill published in the GitHub repository musingfox/cc-plugins (2 stars, last pushed 2d ago), licensed MIT. It adds 51 tokens to every session and 2,007 once invoked, about $0.0003 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 2026-08-31.

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