first-win

first-win is a skill for Claude Code, Codex from wrg32786/aigent-os. It costs 61 tokens per session (602 once invoked), scanned A, original, MIT.

A day-one menu of three small tasks that produce a usable result quickly, including turning existing writing into social posts or turning an idea into a structured plan. An inbox summary is available when an inbox connection exists.

In plain words
What is it for?
Use it to create a week of social posts, turn a rough idea into an actionable plan, or identify priorities from a connected inbox.
Why use it?
It helps a new operator see a concrete result before spending time setting up more connections or workflows.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create a week of social posts, turn a rough idea into an actionable plan, or identify priorities from a connected inbox.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wrg32786/aigent-os/first-win
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 wrg32786/aigent-os --skill first-win
Clone the repo
git clone --depth 1 https://github.com/wrg32786/aigent-os

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 first-win

README.md
[![agentmods](https://agentmods.dev/badge/skills/wrg32786/aigent-os/first-win.svg)](https://agentmods.dev/skills/wrg32786/aigent-os/first-win)
Your own site
<a href="https://agentmods.dev/skills/wrg32786/aigent-os/first-win"><img src="https://agentmods.dev/badge/skills/wrg32786/aigent-os/first-win.svg" alt="Measured on agentmods" height="20"></a>
Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 602 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00061 $0.00602
Opus 5 $0.00030 $0.00301
Sonnet 5 $0.00012 $0.00120
Haiku 4.5 $0.00006 $0.00060

Measured 6d ago against content hash 2e115b2bcccc, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

first-win 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 6d 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.

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.

skills/first-win/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/first-win: ship something real, today

The operator has just met you (via /operator-setup). Now give them proof of work: a real artifact they can use today. This is what satisfies the "ship something real, fast" promise on day one, instead of making them wait for a longer pipeline.

The menu

Offer these three. Lead with the two zero-dependency tasks so the win never stalls waiting on an inbox connection or any login beyond their Claude account:

  1. Turn your last post into a week of social posts. (zero-dependency, default) Ask them to paste their most recent newsletter, blog post, or even a few sentences about what they do. Produce five to seven platform-ready posts in their voice, each with a clear hook. If they have nothing to paste, use the known-good example below so they still get a result.

  2. Turn a rough idea into a structured plan. (zero-dependency, default) Ask for the idea in a sentence. Produce a structured plan: the outcome, the steps in order, the first action they can take today, and what "done" looks like. Concrete, not generic.

  3. Today's three priorities from your inbox. (only if connected) If an inbox connector is set up, summarize their inbox into three priorities for today. If not, they paste a handful of emails or notes and you do the same thing. Never block on OAuth or a connector. This task always has the paste-in fallback.

Delivery

  • Produce the artifact directly in the session, formatted cleanly, ready to use or copy.
  • Then ask: "Want to tweak it, or save it and move on?" Keep it conversational.

Known-good example inputs (so a blank-page operator always gets a result)

  • For task 1: a short sample post about a local trades bookkeeping practice, which you turn into a week of social posts as a demonstration, then offer to redo it with their real content.
  • For task 2: "I want to start a weekly email for my customers" as the rough idea, which you turn into a structured plan.

Read the full file on GitHub · 51 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. 6d ago First seen · 51 lines · 61 tokens per session scan A 2e115b2bcccc

Subscribe to this mod's changes

first-win is a skill published in the GitHub repository wrg32786/aigent-os (18 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 602 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 2026-09-01.

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