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 agentmods add skills/agentcomputerai/torch/contributingnpx skills add AgentComputerAI/torch --skill contributinggit clone --depth 1 https://github.com/AgentComputerAI/torchWhat 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 | $0.00079 | $0.01425 |
| Opus 5 | $0.00039 | $0.00713 |
| Sonnet 5 | $0.00016 | $0.00285 |
| Haiku 4.5 | $0.00008 | $0.00143 |
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.
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:
namemust match the parent directory name exactly.namemust be^[a-z0-9-]+$— lowercase letters, digits, hyphens only. No dots, no underscores, no consecutive hyphens, no leading/trailing hyphen. Max 64 chars.descriptionmust be present and ≤ 1024 chars.descriptionshould 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:
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.
- yesterday First seen · 141 lines · 79 tokens per session scan A d1b0bb742d15
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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browserstack
../../../engineering-team/playwright-pro/skills/browserstack/SKILL.md.
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