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 shawnpang/startup-founder-skills --skill accelerator-applicationgit clone --depth 1 https://github.com/shawnpang/startup-founder-skillsWrote 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/shawnpang/startup-founder-skills/accelerator-application)<a href="https://agentmods.dev/skills/shawnpang/startup-founder-skills/accelerator-application"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/accelerator-application/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/shawnpang/startup-founder-skills/accelerator-application"><img src="https://agentmods.dev/badge/skills/shawnpang/startup-founder-skills/accelerator-application.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 | $0.00047 | $0.02639 |
| Opus 5 | $0.00023 | $0.01319 |
| Sonnet 5 | $0.00009 | $0.00528 |
| Haiku 4.5 | $0.00005 | $0.00264 |
Grade A, and why
accelerator-application 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- accelerator-application — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Accelerator Application
When to Use
- Founder wants to apply to Y Combinator, Techstars, or other accelerator programs
- Founder wants to identify which accelerators are the best fit for their stage and sector
- Founder wants help drafting application essays and preparing for interviews
- Founder wants to batch-apply to multiple programs efficiently
Context Required
- Company stage, product, and traction metrics
- Founder backgrounds and why this team is uniquely positioned
- What the founder wants from an accelerator (funding, network, credibility, customers, mentorship)
- Industry/vertical (some accelerators are sector-specific)
- Geography and willingness to relocate
- Previous applications or rejections (to improve this round)
Workflow
- Match accelerators to the startup — filter the directory below by stage fit, sector focus, geography, and program terms. Recommend a shortlist of 5-10 programs ranked by fit.
- Research each program's preferences — review recent cohort companies, partner bios, and published advice from each accelerator on what they look for. Note any patterns (YC values technical founders and fast growth; Techstars values coachability and market size).
- Draft the core narrative — write the foundational answers that most applications share:
- What does your company do? (one sentence, no jargon)
- What problem are you solving and for whom?
- Why now? What's changed that makes this possible?
- Why is this team the right team?
- What traction do you have?
- What's your unfair advantage or unique insight?
- Customize per application — adapt the core narrative to each program's specific questions, word limits, and culture. YC applications are famously terse. Techstars wants to see coachability. Others want market size.
- Prepare the video (if required) — draft a script for the 1-2 minute application video. Structure: problem → solution → traction → team → ask. Keep it authentic, not polished.
- Prepare for interviews — draft answers to common accelerator interview questions (see below). Practice the 30-second pitch.
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.
- 10d ago First seen · 159 lines · 47 tokens per session scan A 12f4309f5282
accelerator-application is a skill published in the GitHub repository shawnpang/startup-founder-skills (320 stars, last pushed 5mo ago), licensed MIT. It adds 47 tokens to every session and 2,639 once invoked, about $0.0002 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 2026-08-30.
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