Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/sun2443/designer-skillsnpx agentmods add skills/sun2443/designer-skills/draft-offerWrote 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/sun2443/designer-skills/draft-offer)<a href="https://agentmods.dev/skills/sun2443/designer-skills/draft-offer"><img src="https://agentmods.dev/badge/skills/sun2443/designer-skills/draft-offer/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/sun2443/designer-skills/draft-offer"><img src="https://agentmods.dev/badge/skills/sun2443/designer-skills/draft-offer.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 | $0.00053 | $0.00577 |
| Opus 5.5 | $0.00021 | $0.00231 |
| Sonnet 5.5 | $0.00011 | $0.00115 |
| Haiku 4.5 | $0.00005 | $0.00058 |
Grade A, and why
draft-offer 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 13d 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.
This is a copy
100% identical to draft-offer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/draft-offer
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Draft a complete offer letter for a new hire.
Usage
/draft-offer $ARGUMENTS
What I Need From You
- Role and title: What position?
- Level: Junior, Mid, Senior, Staff, etc.
- Location: Where will they be based? (affects comp and benefits)
- Compensation: Base salary, equity, signing bonus (if applicable)
- Start date: When should they start?
- Hiring manager: Who will they report to?
If you don't have all details, I'll help you think through them.
Output
## Offer Letter Draft: [Role] — [Level]
### Compensation Package
| Component | Details |
|-----------|---------|
| **Base Salary** | $[X]/year |
| **Equity** | [X shares/units], [vesting schedule] |
| **Signing Bonus** | $[X] (if applicable) |
| **Target Bonus** | [X]% of base (if applicable) |
| **Total First-Year Comp** | $[X] |
### Terms
- **Start Date**: [Date]
- **Reports To**: [Manager]
- **Location**: [Office / Remote / Hybrid]
- **Employment Type**: [Full-time, Exempt]
### Benefits Summary
[Key benefits highlights relevant to the candidate]
### Offer Letter Text
Dear [Candidate Name],
We are pleased to offer you the position of [Title] at [Company]...
[Complete offer letter text]
### Notes for Hiring Manager
- [Negotiation guidance if needed]
- [Comp band context]
- [Any flags or considerations]
If Connectors Available
If ~~HRIS is connected:
- Pull comp band data for the level/role
- Verify headcount approval
- Auto-populate benefits details
If ~~ATS is connected:
- Pull candidate details from the application
- Update offer status in the pipeline
Tips
- Include total comp — Candidates compare total compensation, not just base.
- Be specific about equity — Share count, current valuation method, vesting schedule.
- Personalize — Reference something from the interview process to make it warm.
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.
- 13d ago First seen · 83 lines · 53 tokens per session scan A b50f677f4c8f
draft-offer is a skill published in the GitHub repository sun2443/designer-skills (0 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 577 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to draft-offer, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…