submit-to-hackathon

submit-to-hackathon is a skill for Codex from Sarthib7/agentsmith. It costs 66 tokens per session (1,801 once invoked), scanned B, original, no licence file.

A guide for preparing a project made on Solana, a blockchain platform, for a hackathon competition.

In plain words
What is it for?
It is for writing the project description, preparing a demo video, and organizing the submission.
Why use it?
It helps turn an unfinished project explanation and demo material into a complete hackathon entry.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit It is for writing the project description, preparing a demo video, and organizing the submission.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sarthib7/agentsmith/submit-to-hackathon
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 Sarthib7/agentsmith --skill submit-to-hackathon
Clone the repo
git clone --depth 1 https://github.com/Sarthib7/agentsmith

Made for: 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 submit-to-hackathon

README.md
[![agentmods](https://agentmods.dev/badge/skills/sarthib7/agentsmith/submit-to-hackathon/github.svg)](https://agentmods.dev/skills/sarthib7/agentsmith/submit-to-hackathon)
Your own site
<a href="https://agentmods.dev/skills/sarthib7/agentsmith/submit-to-hackathon"><img src="https://agentmods.dev/badge/skills/sarthib7/agentsmith/submit-to-hackathon/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.

agentmods 80×15 button for submit-to-hackathon

Your own site · 80×15
<a href="https://agentmods.dev/skills/sarthib7/agentsmith/submit-to-hackathon"><img src="https://agentmods.dev/badge/skills/sarthib7/agentsmith/submit-to-hackathon.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,801 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00066 $0.01801
Opus 5 $0.00033 $0.00901
Sonnet 5 $0.00013 $0.00360
Haiku 4.5 $0.00007 $0.00180

Measured 6d ago against content hash b367d4110aca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade B, and why

submit-to-hackathon scanned grade B with 2 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

[ -n "$_CONVEX_URL" ] && curl -s -X POST "$_CONVEX_URL/api/mutation" -H "Content-Type: application/json" -d '{"path":"telemetry:track","args":{"skill":"submit-to-hackathon","phase":"launch","status":"success","version":"

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

[ -n "$_CONVEX_URL" ] && curl -s -X POST "$_CONVEX_URL/api/mutation" -H "Content-Type: application/json" -d '{"path":"telemetry:track","args":{"skill":"submit-to-hackathon","phase":"launch","status":"success","version":"
skills/submit-to-hackathon/SKILL.md · 144 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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 · 144 lines · 66 tokens per session scan B b367d4110aca

Subscribe to this mod's changes

submit-to-hackathon is a skill published in the GitHub repository Sarthib7/agentsmith (9 stars, last pushed 8d ago), with no licence file. It adds 66 tokens to every session and 1,801 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other skills, from other repositories

autoresearch

Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement…

boshi-xixixi/TraeSkill · 116 tokens

mass-line

A method for collecting feedback and facts from multiple people or sources, turning them into a plan, and checking the plan with those affected.

HughYau/qiushi-skill · 195 tokens

practice-cognition

A method for testing ideas in practice, learning from the results, and improving the next attempt through repeated cycles.

HughYau/qiushi-skill · 183 tokens

protracted-strategy

A long-term planning method for difficult work that cannot be completed quickly, divided into stages with steady progress over time.

HughYau/qiushi-skill · 211 tokens

a16z-crypto

Use when evaluating crypto networks and companies through an a16z crypto lens: web3 adoption, infrastructure vs apps, open networks, and long-duration crypto ecosystem investing.

questflowai/investorskills · 39 tokens

prompt-proximity-architecture

Turn an approved measurement charter, ICPs, and buyer jobs into a budget-aware prompt coverage blueprint across proximity bands, aided status, information acts, journey states, roles, locales, evidence grades, partitions, and measurement lanes. Use before prompt wording to define required, optional, and prohibited…

elvisun/newsjack · 67 tokens