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.
npx skills add Rijul1204/rashedul-agentic-engineering --skill fizzy-tasksgit clone --depth 1 https://github.com/Rijul1204/rashedul-agentic-engineeringWrote 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.
[](https://agentmods.dev/skills/rijul1204/rashedul-agentic-engineering/fizzy-tasks)<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.
<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>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.
| Model | Per session | Once 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 |
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" \ 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:
- My Cards — assigned to the current user
- Open Bugs — tagged "bug" or "defect"
- Blockers — tagged "blocker" or description contains "blocked"
- 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 |
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.
- 1mo ago First seen · 145 lines · 87 tokens per session scan A a4ea1c4b238e
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.
Other skills, from other repositories
after-action-report
Run a structured after-action review (postmortem, retrospective) on a launch, incident, or completed project to capture timeline, root cause analysis, contributing factors, and actionable lessons. Use this skill whenever the user wants to run a postmortem, retrospective, AAR, or after-action review on any past event.…
stakeholder-communication
Communicate effectively with stakeholders across functions and seniority levels. Use this skill when writing status updates, preparing executive reviews, sharing technical decisions with non-technical audiences, managing up, communicating bad news, or designing the communication cadence for a project. Triggers on…
mass-ulw
Drives dependency-ordered child work through the native workflow tool, each phase's stages defined up front in one run, with retry/amend/send recovery. Use when the user asks for mass-ulw, a DAG of tasks, or fan-out work where some tasks must wait on others.
beta-program-management
Running closed and open betas that produce real signal. Beta participant selection, structured feedback collection, beta-to-GA decision criteria, and the difference between soft-launch (no structure, no signal), kitchen-sink (everyone in, no actionable feedback), and structured beta (calibrated cohort, intentional…
okr-design
OKR design as actually shipped, not as conference-talk theory. Outcome statements that drive decisions, key results that measure the right thing, scoring discipline, mid-quarter recalibration, and the difference between sandbagged OKRs (always 100%) and aspirational OKRs (always 30%) and stretch OKRs (genuine ambition…
roadmap-planning
Build a multi-quarter roadmap from a backlog of ideas, requests, and ongoing initiatives. Use this skill when planning the next quarter, sequencing dependent work, balancing build vs improve vs maintain, or making the case for what NOT to do. Triggers on roadmap, quarterly planning, what should we build next…