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 agentmods add skills/rijul1204/rashedul-agentic-engineering/fizzy-writenpx skills add Rijul1204/rashedul-agentic-engineering --skill fizzy-writegit 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-write)<a href="https://agentmods.dev/skills/rijul1204/rashedul-agentic-engineering/fizzy-write"><img src="https://agentmods.dev/badge/skills/rijul1204/rashedul-agentic-engineering/fizzy-write.svg" alt="Measured on agentmods" 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 | $0.00090 | $0.01827 |
| Opus 5 | $0.00045 | $0.00914 |
| Sonnet 5 | $0.00018 | $0.00365 |
| Haiku 4.5 | $0.00009 | $0.00183 |
Grade A, and why
fizzy-write 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 4d 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.
Use `curl` with the Bearer token. All endpoints are under `https://app.fizzy.do`. How it starts
The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fizzy Write — Manage Cards & Boards
Create and manage cards, boards, comments, and assignments in the Fizzy task board.
Credentials
Bearer token:
eCaGiEZPirmuqVQwuNmCMNd6
Account ID: 6132669
Base URL: https://app.fizzy.do
Known Boards
| Board ID | Name | Default? |
|---|---|---|
| 03fd4omd9qico7wmyyof5yfe4 | QA Board | YES |
If the user names a specific board, resolve it by calling
GET /6132669/boardsand matching by name. Otherwise, always use the QA board.
Workflow
Step 1 — Parse the user's intent
Identify the operation:
| Intent | Operation |
|---|---|
| "create a card / task" | Create card |
| "create a board" | Create board |
| "update / edit card #N" | Update card |
| "close / done card #N" | Close card |
| "reopen card #N" | Reopen card |
| "comment on card #N" | Add comment |
| "assign card #N to [user]" | Assign |
| "move card #N to [column]" | Triage (move) |
| "tag card #N with [tag]" | Apply tag |
For create card: extract title, optional description, optional board name (defaults to QA board). For create board: extract board name and optional description.
IMPORTANT — Fizzy does NOT support Markdown. Do not use
**bold**,# headers,- bulletsyntax, or any Markdown in card titles, descriptions, or comments. Use plain text with spacing and line breaks for structure. Example:Implementation notes: - Check user region against Dots coverage map - Block enrollment if region unsupported - Show clear error message to playerUse indentation and blank lines for readability — not Markdown syntax.
Step 2 — Execute the API call
Use curl with the Bearer token. All endpoints are under https://app.fizzy.do.
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.
- 4d ago First seen · 213 lines · 90 tokens per session scan A 8587b020058c
fizzy-write is a skill published in the GitHub repository Rijul1204/rashedul-agentic-engineering (2 stars, last pushed 1mo ago), licensed MIT. It adds 90 tokens to every session and 1,827 once invoked, about $0.0005 per session on Opus 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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