fizzy-tasks

fizzy-tasks is a skill for Claude Code, Codex from Rijul1204/rashedul-agentic-engineering. It costs 87 tokens per session (1,445 once invoked), scanned A, original, MIT.

A digest of open work items from Fizzy, a task board. It gathers cards assigned to the user along with open bugs, blockers, and tasks that have no assignee, then groups them into a prioritised summary.

In plain words
What is it for?
Use it to see your open Fizzy tasks, bugs, blockers, and unassigned work, with links back to the relevant cards.
Why use it?
It saves time spent searching through separate lists of cards and makes important unfinished work easier to spot. It can also add priority and effort information from the project context.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Good fit Use it to see your open Fizzy tasks, bugs, blockers, and unassigned work, with links back to the relevant cards.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rijul1204/rashedul-agentic-engineering/fizzy-tasks
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.

Any agent
npx skills add Rijul1204/rashedul-agentic-engineering --skill fizzy-tasks
Clone the repo
git clone --depth 1 https://github.com/Rijul1204/rashedul-agentic-engineering

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fizzy-tasks

README.md
[![agentmods](https://agentmods.dev/badge/skills/rijul1204/rashedul-agentic-engineering/fizzy-tasks/github.svg)](https://agentmods.dev/skills/rijul1204/rashedul-agentic-engineering/fizzy-tasks)
Your own site
<a href="https://agentmods.dev/skills/rijul1204/rashedul-agentic-engineering/fizzy-tasks"><img src="https://agentmods.dev/badge/skills/rijul1204/rashedul-agentic-engineering/fizzy-tasks/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for fizzy-tasks

Your own site · 80×15
<a href="https://agentmods.dev/skills/rijul1204/rashedul-agentic-engineering/fizzy-tasks"><img src="https://agentmods.dev/badge/skills/rijul1204/rashedul-agentic-engineering/fizzy-tasks.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,445 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00087 $0.01445
Opus 5.5 $0.00035 $0.00578
Sonnet 5.5 $0.00017 $0.00289
Haiku 4.5 $0.00009 $0.00145

Measured 1mo ago against content hash a4ea1c4b238e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

fizzy-tasks scanned grade A with 1 finding 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 1mo ago.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -s "https://app.fizzy.do/6132669/cards?status=open" \
skills/fizzy-tasks/SKILL.md · 145 lines

How it starts

The opening of the file, as written. The whole thing — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fizzy Tasks — Open Cards Digest

Fetch and display open Fizzy cards assigned to the current user, open bugs, blockers, and unassigned items — enriched with priority and effort estimates using Jackpot Snap project context.

Credentials

Bearer token: R2Rek4vNLSrr12F9QFkBy3BZ Account ID: 6132669 Base URL: https://app.fizzy.do

Workflow

Step 1 — Fetch assigned cards

curl -s "https://app.fizzy.do/6132669/cards?status=open" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer R2Rek4vNLSrr12F9QFkBy3BZ"

Filter the response for cards where the current user is assigned. Also fetch all open cards to identify bugs (tagged "bug") and unassigned items.

If the API supports ?assigned=me, use that parameter to reduce results:

curl -s "https://app.fizzy.do/6132669/cards?status=open&assigned=me" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer R2Rek4vNLSrr12F9QFkBy3BZ"

Step 2 — Fetch users (to resolve names)

curl -s "https://app.fizzy.do/6132669/users" \
  -H "Accept: application/json" \
  -H "Authorization: Bearer R2Rek4vNLSrr12F9QFkBy3BZ"

Step 3 — Categorise cards

Group cards into:

  1. My Cards — assigned to the current user
  2. Open Bugs — tagged "bug" or "defect"
  3. Blockers — tagged "blocker" or description contains "blocked"
  4. Unassigned — open with no assignee

Step 4 — Assign Priority and Effort

For every card, assign a priority level and effort estimate based on Jackpot Snap service context. Do NOT ask the user — infer from card title, description, and tags.

Priority Levels
Level Label When to assign
P0 [P0 — Critical] Touches game-engine WebSocket, payment-service (Bankful/Dots), user auth/JWT/JWKS, or validity-check card deals
P1 [P1 — High] Touches competition service (enrollments, leaderboard, knockout), or QA-reported bug visible to players
P2 [P2 — Medium] Non-blocking feature work, DX improvements, dev env issues, non-critical UI bugs
P3 [P3 — Low] Nice-to-have, docs, observability, refactors, no user-facing impact

Read the full file on GitHub · 145 lines

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. 1mo ago First seen · 145 lines · 87 tokens per session scan A a4ea1c4b238e

Subscribe to this mod's changes

fizzy-tasks is a skill published in the GitHub repository Rijul1204/rashedul-agentic-engineering (2 stars, last pushed 3mo ago), licensed MIT. It adds 87 tokens to every session and 1,445 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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