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 veryfront/veryfront-code --skill contributegit clone --depth 1 https://github.com/veryfront/veryfront-codeWrote 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/veryfront/veryfront-code/contribute)<a href="https://agentmods.dev/skills/veryfront/veryfront-code/contribute"><img src="https://agentmods.dev/badge/skills/veryfront/veryfront-code/contribute/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/veryfront/veryfront-code/contribute"><img src="https://agentmods.dev/badge/skills/veryfront/veryfront-code/contribute.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00019 | $0.00364 |
| Opus 5.5 | $0.00008 | $0.00146 |
| Sonnet 5.5 | $0.00004 | $0.00073 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
contribute 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 1mo 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.
What it actually says
Contribute
Onboard to the veryfront-code repository: architecture, testing, conventions, and PR process.
Steps
-
Read project documentation
AGENTS.md: project overview, architecture, conventionscli/AGENTS.md: CLI-specific conventions for adding commands
-
Understand conventions (via MCP) Use
vf_get_conventionsfor coding patterns and style guide. -
Explore the schema
veryfront schema --jsonUnderstand available commands and their categories.
-
Make changes Follow the patterns in
AGENTS.md:- Hash imports:
#veryfront/for src,#cli/for CLI - Error handling:
defineError()from error registry - Arg parsing: Zod +
createArgParser() - New commands:
cli/commands/{name}/with handler.ts, command.ts, command-help.ts
- Hash imports:
-
Run tests
veryfront test --json -
Run linter
veryfront lint --json -
Format code
deno fmt
PR Checklist
- Tests pass (
veryfront test) - Lint clean (
veryfront lint) - Formatted (
deno fmt --check) - No unused imports
- New commands registered in both
router.tsandcommand-definitions.ts
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.
- 1mo ago First seen · 56 lines · 19 tokens per session scan A 4b22e8e04a00
contribute is a skill published in the GitHub repository veryfront/veryfront-code (19 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 364 once invoked, about $0.0001 per session on Opus 5.5. 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.
Other skills, from other repositories
chatbot
Use when a support or sales bot on a live website must behave: persona/system prompt, grounding so it cannot invent prices or policy, jailbreak and injection defense, the human handoff, launch metrics and kill switch. NOT the agent loop or RAG index under it (that is building-agents), NOT a human answering one ticket…
contract
A way to turn agreed design decisions into a formal software design document. The document gives coding agents or other implementers goals, decisions, rules, dependencies, non-goals, and open questions.
omd-video
A pipeline that turns instructional videos into structured notes using both their visuals and audio. It is intended for videos such as lectures, tutorials, and courses where slides, diagrams, prompts, or code appear on screen.
grill
An adversarial design discussion that challenges a plan before it becomes an implementation contract. It separates facts that can be checked in the code from technical choices and decisions that require the owner's judgment.
omd-research-deep
A deep research workflow that breaks a broad question into several viewpoints, gathers sources, checks for missing evidence, and combines the findings into a grounded report. The report includes source material and records what each research round added.
omd-recall
A search tool for recalling facts, decisions, and past solutions stored in a project's engineering memory. It searches by meaning and keywords and returns matching sources with confidence information.