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 1508550385junnan-bot/Magic-Agent-Global-Rules --skill global-collaboration-rulesgit clone --depth 1 https://github.com/1508550385junnan-bot/Magic-Agent-Global-RulesWrote 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/1508550385junnan-bot/magic-agent-global-rules/global-collaboration-rules)<a href="https://agentmods.dev/skills/1508550385junnan-bot/magic-agent-global-rules/global-collaboration-rules"><img src="https://agentmods.dev/badge/skills/1508550385junnan-bot/magic-agent-global-rules/global-collaboration-rules/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/1508550385junnan-bot/magic-agent-global-rules/global-collaboration-rules"><img src="https://agentmods.dev/badge/skills/1508550385junnan-bot/magic-agent-global-rules/global-collaboration-rules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00108 | $0.01309 |
| Opus 5.5 | $0.00043 | $0.00524 |
| Sonnet 5.5 | $0.00022 | $0.00262 |
| Haiku 4.5 | $0.00011 | $0.00131 |
Grade A, and why
global-collaboration-rules scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Before complex tasks: search local skills → search online (skills.sh, GitHub, known repos: mxyhi/ok-skills, obra/superpowers, LearnPrompt/cc-harness-skills) → compare multiple → pick best. Use Python urllib, not curl/git The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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 · 123 lines · 108 tokens per session scan A b2a9f00c9ae3
global-collaboration-rules is a skill published in the GitHub repository 1508550385junnan-bot/Magic-Agent-Global-Rules (2 stars, last pushed 5mo ago), licensed GPL-3.0. It adds 108 tokens to every session and 1,309 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
entroly-agent-review
Hand off coding work between AI agents or models and record an independent review tied to the exact repository state. Use when switching from a writer such as Claude to a reviewer such as Codex.
entroly-evidence-operations
Use Entroly for content-blind agent-history audits, explicit baseline/optimized trials, recoverable command or browser evidence, response contracts, and token-efficiency claim verification.
entroly-context-control
Surgically select, compress, and recover codebase context using Entroly's MCP tools. Slashes token usage by up to 95% with Merkle-exact recovery receipts and WITNESS verification.
cached-system-instructions
Structure stable system instructions and variable input separately when configuring supported prompt-cache workflows.
avoid-duplicate-system-messages
Consolidate repeated system instructions into a stable prompt prefix when configuring an application's prompt caching.
authoring-skills-and-rules
Author Skills (SKILL.md) and rules/instructions across Claude Code, Cursor, OpenCode, Codex, and GitHub Copilot. Covers frontmatter, file layout, activation, mirroring, and craft: progressive disclosure, Apply-when descriptions, leading words, playbook steps copied into todos, skip reasons, the deletion test, and…