contributing

Contribution guidelines for torch, a command-line scraping toolkit and collection of reusable instructions. They explain how to propose code, documentation, or new skills for the project.

In plain words
What is it for?
Use them when contributing a new site skill, improving scraping behavior, changing source code, fixing documentation, or sharing a skill with the project.
Why use it?
They remove uncertainty about where changes belong, what quality is expected, and how to structure a pull request (a request to merge changes).

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/agentcomputerai/torch/contributing
Any agent
npx skills add AgentComputerAI/torch --skill contributing
Clone the repo
git clone --depth 1 https://github.com/AgentComputerAI/torch

Made for: Claude Code, Codex.

Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,425 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00079 $0.01425
Opus 5 $0.00039 $0.00713
Sonnet 5 $0.00016 $0.00285
Haiku 4.5 $0.00008 $0.00143

Measured yesterday against content hash d1b0bb742d15, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

contributing 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 yesterday.

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.

skills/contributing/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Contributing to torch

Torch is an open playbook collection as much as it is a CLI. Every PR that adds a new site skill, fixes a selector, refines an anti-blocking layer, or improves a core skill makes the next person's scrape faster.

Upstream: github.com/agentcomputer/torch

What you can contribute

Kind Where it lives Typical PR size
New site skill skills/sites/<slug>/SKILL.md Single file
Update to a site skill Same path, bump metadata.version Single file
New core skill skills/<name>/SKILL.md (+ references) 1-5 files
Improvement to a core skill Existing skill file Single file
Source code change src/*.ts, bin/* Scoped to one concern
Docs fix README.md, SYSTEM.md Single file

One concern per PR. Don't bundle a new site skill with a core skill rewrite — those get reviewed separately.

Skill authoring conventions

All skills in torch follow the Agent Skills spec that pi-coding-agent enforces. The loader will reject skills that don't comply.

Frontmatter

Every SKILL.md starts with YAML frontmatter:

---
name: <slug>
description: <specific, actionable description — this is what pi-coding-agent reads to decide when to route to the skill>
metadata:
  author: <your name or handle>
  version: "1.0.0"
---

Rules:

  • name must match the parent directory name exactly.
  • name must be ^[a-z0-9-]+$ — lowercase letters, digits, hyphens only. No dots, no underscores, no consecutive hyphens, no leading/trailing hyphen. Max 64 chars.
  • description must be present and ≤ 1024 chars.
  • description should be specific — it's what the agent reads to decide when to invoke the skill. "Does X" is weaker than "Does X when Y, using Z library, for targets like A, B, C".

Content

Skill content is just markdown after the frontmatter. Structure it however makes sense for the subject, but good skills share these traits:

Read the full file on GitHub · 141 lines

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. yesterday First seen · 141 lines · 79 tokens per session scan A d1b0bb742d15

Subscribe to this mod's changes

contributing is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 4mo ago), licensed MIT. It adds 79 tokens to every session and 1,425 once invoked, about $0.0004 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 2026-08-31.

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