Trellis: Skill for Claude Code

.agents/skills/contribute/SKILL.md

contribute is a skill for Claude Code, Codex from mindfold-ai/Trellis. It costs 72 tokens per session (2,770 once invoked), scanned A, original, AGPL-3.0.

A guide to contributing changes to Trellis, including its documentation and marketplace. It covers spec templates, marketplace skills, documentation pages, and pull requests.

In plain words
What is it for?
Use it when adding or updating a spec template, marketplace skill, or documentation page, or when preparing a pull request.
Why use it?
It explains where these changes belong and how to submit them across the Trellis code repository and documentation repository.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing. Also seen: installed under .agents/ (shared by several agents).

This is mindfold-ai/Trellis's own configuration. It tells Claude Code and Codex how to work on Trellis itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Trellis configures →

About the project

Trellis is an engineering framework that stores project specifications, tasks, and working memory in a repository so coding agents can follow consistent development practices across sessions. Teams use it to organize AI-assisted planning, implementation, review, and validation across multiple coding platforms. The catalogue entries provide Trellis commands, agents, hooks, skills, instructions, and settings.

mindfold-ai/Trellis · 15,098 stars · on GitHub · docs.trytrellis.app

Reuse

Borrowing it

Nothing to install: this file belongs to mindfold-ai/Trellis. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mindfold-ai/Trellis/main/.agents/skills/contribute/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/mindfold-ai/Trellis

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 contribute

README.md
[![agentmods](https://agentmods.dev/badge/skills/mindfold-ai/trellis/contribute/github.svg)](https://agentmods.dev/skills/mindfold-ai/trellis/contribute)
Your own site
<a href="https://agentmods.dev/skills/mindfold-ai/trellis/contribute"><img src="https://agentmods.dev/badge/skills/mindfold-ai/trellis/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.

agentmods 80×15 button for contribute

Your own site · 80×15
<a href="https://agentmods.dev/skills/mindfold-ai/trellis/contribute"><img src="https://agentmods.dev/badge/skills/mindfold-ai/trellis/contribute.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,770 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 256
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
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 $0.00072 $0.02770
Opus 5.5 $0.00029 $0.01108
Sonnet 5.5 $0.00014 $0.00554
Haiku 4.5 $0.00007 $0.00277

Measured 2mo ago against content hash 81307c9fc772, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

.agents/skills/contribute/SKILL.md · 422 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 2mo ago First seen · 422 lines · 72 tokens per session scan A 81307c9fc772

Subscribe to this mod's changes

contribute is a skill published in the GitHub repository mindfold-ai/Trellis (15,098 stars, last pushed 1mo ago), licensed AGPL-3.0. It adds 72 tokens to every session and 2,770 once invoked, about $0.0003 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.

Related

contribute compared with skills from other repositories

contribute next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
contributemindfold-ai/TrellisSkill15k1mo agoAGPL-3.0A72Claude Code, Codex
standup-updategszr/lunarSkill18yesterdayMITA49Claude Code, Codex
lunar-attributiongszr/lunarSkill18yesterdayMITA30Claude Code, Codex
rgit-captureStepzeroLab/research-gitSkill443mo agoMITA71Claude Code
rgit-digestStepzeroLab/research-gitSkill443mo agoMITA76Claude Code
working-in-isolationslowdini/slow-powersSkill21mo agoMITA58Claude Code
github-operationsmaystudios/maxsimcliSkill117mo agononeA43Claude Code